The Team - AI Singapore
Source: https://aisingapore.org/home/the-team
Archived: 2026-04-23 17:20
The Team - AI Singapore
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Professor Ho Teck Hua
Founding Executive Chairman,
AI Singapore
Professor Phoon Kok Kwang
Deputy Executive Chairman
(Research)
Professor Luke Ong
Deputy Executive Chairman
(Applied and Translational)
Professor Mohan Kankanhalli
Deputy Executive Chairman
(Talent)
Professor Mohan Kankanhalli
Deputy Executive Chairman, AI Singapore
Prof. Mohan Kankanhalli is the Deputy Executive Chairman (Talent & Ecosystem) of AI Singapore. He currently holds the distinguished position of Provost’s Chair Professor of Computer Science and is also the Director of NUS AI Institute.
He was formerly the Dean of NUS School of Computing from 2016 to 2022. Prior to becoming the Dean, he was the NUS Vice Provost (Graduate Education) during 2014-2016 and Associate Provost (Graduate Education) during 2011-2013. Earlier, he was the Vice-Dean for Academic Affairs & Graduate Studies at the NUS School of Computing during 2008-2010 and Vice-Dean for Research during 2001-2007. He was a faculty member at the Indian Institute of Science in Bangalore during 1997-1998 and a researcher at Institute of Systems Science of NUS during 1990-1997. Mohan obtained his BTech (Electrical Engineering) from IIT Kharagpur and MS & PhD (Computer & Systems Engineering) from the Rensselaer Polytechnic Institute.
Mohan’s research interests are in Multimedia Computing, Computer Vision and Multimedia Security & Privacy. He has made fundamental contributions in the area of multimedia & vision – image and video understanding, multimodal fusion, visual saliency as well as in multimedia security – content authentication, privacy and trustworthy AI. He is actively involved in the multimedia research community organizing conferences and was the Director of Conferences for ACM SIG Multimedia during 2009-2013. He is on the editorial boards of several journals including ACM Transactions on Multimedia Computing, Communications and Applications, Springer Multimedia Systems, IEEE Multimedia, and Springer Journal on Big Data.
He directs N-CRiPT (NUS Centre for Research in Privacy Technologies) which conducts research on privacy on structured as well as unstructured (multimedia, sensors, IoT) data. N-CRiPT looks at privacy at both individual and organizational levels along the entire data life cycle. He is personally involved in privacy research related to images and video as well as privacy risk management. N-CRiPT, which has been funded by Singapore’s National Research Foundation, works with many industry, government and academic partners. He earlier directed the SeSaMe (Sensor-enhanced Social Media) Centre during 2012-2018. SeSaMe did fundamental exploration of social cyber-physical systems with applications in social sensing, sensor analytics and smart systems.
Mohan is a member of World Economic Forum’s Global Future Council on the Future of Artificial Intelligence.
Mohan is a Fellow of SNAS (Singapore National Academy of Science) and IEEE (Institute of Electrical and Electronics Engineers).
A/Prof Bryan Low
Director, AI Research
Professor Ng See Kiong
Director, AI Technology
Laurence Liew
Director, AI Innovation
Dr Leslie Teo
Senior Director, AI Products
Koo Sengmeng
Director, Talent & Ecosystem
Chia Sheng Zhi
Director, Planning & Operations
Professor Simon Chesterman
Senior Director, AI Governance
AI Research
Prof Luke Ong
Chief Scientist
A/Prof Bryan Low
Director
AI Technology
Prof Ng See Kiong
Director
Dr Ng Wee Siong
Deputy Director
Mak Mun Thye
Head, Software Architecture and Engineering
AI Innovation
Laurence Liew
Director
Najib Ninaba
Head, Platforms Engineering
Dr Kevin Chng
Head, AIAP
Ng Kim Hock
Head, Project Delivery
See Bee Leng
Head, Talent Operations
Theresa Chan
Head, Industry Development
Chen Way Yen
Head, Platforms Operations
AI Products (formerly AI Makerspace)
Dr Leslie Teo
Senior Director
Dr William Tjhi
Deputy Director
David Ong
Head, Engineering
Mark Pereira
Head, Partnerships, Strategy & Growth
Esther Choa
Head, Products
AI Governance
Prof Simon Chesterman
Senior Director
Prof Hahn Jungpil
Deputy Director
AI Talent Development (formerly LearnAI)
Koo Sengmeng
Director
Chandra Gunawan
Head of Programmes and Partnerships
AI Operations and Administration
Chia Sheng zhi
Director
Abigail Toh
Head, Marketing Communications
Rachel Tay
Head, Finance & Administration
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Professor Ho Teck Hua
Founding Executive Chairman, AI Singapore
Prof. Ho Teck Hua is the fifth President of Nanyang Technological University, Singapore (NTU), where he is a Distinguished University Professor. He is also the founding Executive Chairman of AI Singapore (AISG) and President of the Academy of Engineering, Singapore.
Professor Ho is a prominent behavioural scientist with a PhD and a master's degree in decision sciences from the Wharton School of the University of Pennsylvania. He also holds a master’s degree in computer and information sciences and a bachelor’s degree in electrical engineering with first class honours, both from the National University of Singapore (NUS).
Before joining NTU, Professor Ho served as Senior Deputy President and Provost (2018-2023) and Deputy President (Research and Technology) (2015-2018) at NUS. He was the first awardee (in 2015) of the Singapore National Research Foundation’s Returning Singaporean Scientists Scheme, for projects on “Solving Societal Challenges Using Data-Driven Decision Sciences”. In 2017, he spearheaded the creation of AISG, a national research and development programme on artificial intelligence (AI). Under his leadership, AISG launched multiple signature projects, such as the use of AI to address national challenges in healthcare and education, 100Experiments projects to catalyse the adoption of cutting-edge AI solutions in industry, and the award-winning AI Apprenticeship Programme to build a pipeline of AI talent for Singapore.
As the Provost of NUS, he was responsible for developing and enhancing NUS’s Lifelong Learning (NUS L
3
) Programme, which is a pathway for postgraduate and continuing education. He was also responsible for attracting young global and Singaporean talent to NUS via the Presidential Young Professorship Scheme and recruiting established faculty members, including a Nobel Prize awardee, to join the University to head research centres and high-level international programmes. At NUS, he oversaw the creation of NUS College, the University’s first honours college, and the College of Design and Engineering. The latter was a merger of the Faculty of Engineering and the School of Design and Environment to create a stronger base for interdisciplinary research and education at the University. He also pioneered the development of career+, a smartphone app that leverages big data and AI to help students plan their education and careers.
Prior to serving at NUS, Professor Ho was the William Halford Jr Family Professor of Marketing at the University of California, Berkeley's Haas School of Business (2002-2015), Associate Professor of Marketing at the Wharton School of the University of Pennsylvania (1997-2002), and Assistant Professor of Operations and Technology Management at the University of California, Los Angeles’s Anderson School of Management (1994-1997). At the Haas School of Business, Professor Ho received the Earl F. Cheit Award for Excellence in MBA Teachingthree years in a row (2004-2006) and the 2010 Distinguished Teaching Award, the University of California, Berkeley's highest university-level award for teaching. In 2015, he was presented with the Williamson Award, the Haas School’s highest faculty award, named in honour of Oliver Williamson, recipient of the 2009 Nobel Memorial Prize in Economic Sciences. The award celebrates honourees who best reflect the character and integrity associated with Williamson’s scholarly work and legacy.
Many of Professor Ho’s significant works have been published in refereed journals in the areas of behavioural economics, management science and marketing. He was the first non-US citizen to be Editor-in-Chief of
Management Science
, the venerable flagship journal of the Institute for Operations Research and the Management Sciences, and one of the top journals for research in management.
In Singapore, Professor Ho is a member of the boards of DSO National Laboratories, the Government Technology Agency, and the National Research Foundation. He is an academician of Academia Sinica.
Professor Phoon Kok Kwang
Founding Executive Chairman, AI Singapore
Prof Phoon Kok Kwang is President, Singapore University of Technology and Design (SUTD), as well as Cheng Tsang Man Chair Professor. He is Deputy Executive Chairman (Research) of AI Singapore (AISG), an appointment he took on from 1 August 2025. He is also a fellow of the Academy of Engineering Singapore (SAEng), the Singapore National Academy of Science (SNAS), the Institution of Engineers Singapore and the American Society of Civil Engineers. In addition to being Treasurer of Academy of Engineering Singapore, he is also a member of the Committee of Government Scientific Advisors and the Singapore-Tianjin Economic and Trade Council. Prof Phoon also sits on the Board of the Civil Aviation Authority of Singapore.
He obtained his BEng and MEng from the National University of Singapore (NUS) and his PhD from Cornell University. Prior to joining SUTD, Prof Phoon was Senior Vice-Provost (Academic Affairs) at NUS. He has also served as the Deputy Chief Scientific Advisor (DCSA) to the National Research Foundation, Prime Minister’s Office, Singapore.
Prof Phoon is a world leader in the development of statistical and machine learning methods for geotechnical engineering. He was bestowed the ASCE Norman Medal twice in 2005 and 2020, the Humboldt Research Award in 2017, the Harry Poulos Award in 2023, and the Alfredo Ang Award in 2024 among other accolades. Prof Phoon, who is the Founding Editor of Georisk and Editor-in-chief of Geodata and AI, is a Professional Engineer in Singapore and an ASEAN Chartered Professional Engineer.
Professor Luke Ong
Chief Scientist
Professor Luke Ong is the Deputy Executive Chairman (Applied and Industry) and the Chief Scientist where he is responsible for AI Singapore’s fundamental research into artificial intelligence. He is also the Vice President of Research from the School of Computer Science and Engineering, Nanyang Technological University Singapore. His research is broad, ranging across semantics of computation, programming languages, verification, logic and algorithms, and algorithmic game theory. A notable feature of his work is the combination of ideas and methods from semantics and structures, with techniques from automated verification. He is one of the leading figures and inventors of game semantics and its applications. His solution (with Hyland) to the PCF Full Abstraction Problem opened up the field of game semantics; and their constructions, known as Hyland-Ong games, have become standard notions in the semantics of programming languages.
Prof Ong is also known for his pioneering contribution in the field of verification: his LICS 2006 paper co-initiated higher-order model checking, a new branch of algorithmic verification that combines ideas and methods from semantics with automata-theoretic and allied techniques in automatic verification, with applications to the verification of higher-order programs. His current research interests include computer and cyber security, higher-order logic and satisfiability modulo theories, and probabilistic and differentiable programming.
Prior to joining NTU, he was a Lecturer then Professor of Computer Science at the University of Oxford (1994-2022); Fellow of Merton College, Oxford (1994-2022); and Prize Research Fellow, Trinity College, Cambridge (1988-1994). Professor Ong was General Chair (2013-2015) of the ACM / IEEE Logic in Computer Science (LiCS), and Founding Vice Chair (2014-2019) of the ACM Special Interest Group in Logic and Computation. He is the joint winner of the ACM / EATCS Alonzo Church Award 2017 for Outstanding Contributions to Logic and Computation.
A/Prof Bryan Low
Director, AI Research
Dr. Bryan Low is the Director of AI Research at AI Singapore and an Associate Professor of Computer Science at the National University of Singapore. He obtained the B.Sc. (Hons.) and M.Sc. degrees in Computer Science from National University of Singapore, Singapore, in 2001 and 2002, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, Pennsylvania, in 2009. His research interests include probabilistic & automated machine learning, planning under uncertainty, and multi-agent/robot systems.
Dr. Low is the recipient of the (1) Andrew P. Sage Best Transactions Paper Award for the best paper published in all 3 of the IEEE Transactions on Systems, Man, and Cybernetics – Parts A, B, and C in 2006; (2) National University of Singapore Overseas Graduate Scholarship for Ph.D. studies in Carnegie Mellon University (CMU) in 2004-2009; (3) Singapore Computer Society Prize for Best M.Sc. Thesis in School of Computing, National University of Singapore in 2003; and (4) Faculty Teaching Excellence Award in School of Computing, National University of Singapore in 2017-2018.
Dr. Low has served as a World Economic Forum’s Global Future Councils Fellow for the Council on the Future of Artificial Intelligence and Robotics from Sep 2016 to Jun 2018 and an IEEE Robotics & Automation Society (RAS) Distinguished Lecturer for the IEEE RAS Technical Committee on Multi-Robot Systems in Mar 2019. He has served as an organizing chair for the IEEE RAS Summer School on Multi-Robot Systems in Jun 2016, the AI Summer Schools in Jul 2019 and Aug 2020, and the NeurIPS 2021 Workshop on New Frontiers in Federated Learning. Dr. Low has also served as associate editors, area chairs and program committee members, and reviewers for premier AI (specifically, multiagent systems, AI planning, robotics, machine learning) conferences: IJCAI, AAAI, ECAI, AAMAS, ICAPS, RSS, IROS, ICRA, CoRL, NeurIPS, ICML, AISTATS, ICLR and journals: TKDE, JMLR, JAIR, MLJ, TNNLS, T-ASE, IJRR, T-RO, AURO, JFR, TOSN, JAAMAS. He was the top 5% reviewer for ICML 2019, top 33% reviewer for ICML 2020, and an expert reviewer for ICML 2021.
Professor Ng See Kiong
Director, AI Technology
Prof. Ng See-Kiong is the Director of AI Technology at AI Singapore with the mission to promote bold ideas and innovative approaches to solve national challenges which can be effectively addressed by AI to create significant economic and social impact with technologies. See-Kiong is also a Professor of Practice of Computer Science at the School of Computing, National University of Singapore (NUS), and the Director of Translation Research of the university’s Institute of Data Science. The Institute is the focal point at NUS for developing integrated data science capabilities for real-world impact and nurturing data scientists for Singapore’s Smart Nation initiative.
See-Kiong received the Singapore National Computer Board’s overseas scholarship in 1986. He earned both his BS (1989) and PhD (1998) in Computer Science from Carnegie Mellon University (CMU), with an MSE in Computer and Information Science (Artificial Intelligence) from University of Pennsylvania (1990). His lifelong research mission is to push the boundary of data science and artificial intelligence through transdisciplinary upstream research, and creates impact by translating the research outcomes into real-life applications through collaborating with partners from the industry and public agencies.
Prior to joining NUS, See-Kiong was the Programme Director of the Urban Systems at the Agency for Science, Technology and Research (A*STAR), a pioneering research program that developed technologies and innovations for smart cities, and the founding department head of the highly successful Data Analytics Department at A*STAR’s Institute for Infocomm Research. See-Kiong started his research career as one of the early bioinformaticians, and he has since been crossing over into many other disciplines as a seasoned AI scientist. He has published widely, with around 130 research papers in leading peer-reviewed journals and conferences across multiple disciplines to-date.
From using the computation of data to better understand the biology of the human body, See-Kiong is now using machine learning and artificial intelligence to understand the “biology” of complex human cities and societies and solving real-world grand challenges with bold innovations of AI technologies.
Laurence Liew
Director, AI Innovation
Laurence Liew is the Director for AI Innovation at AI Singapore. He is the driving force behind AI Singapore's impactful initiatives aimed at propelling AI adoption across industries and democratising AI knowledge for everyone.
As Director of AI Innovation, he leads the 100 Experiments (100E) programme, fostering collaboration between AI researchers and industry partners to develop and deploy real-world AI solutions. He is also the architect of the acclaimed AI Apprenticeship Programme (AIAP), a unique talent development initiative equipping aspiring AI engineers with practical skills and industry experience.
Laurence's passion for making AI accessible to all is evident in his leadership of the LearnAI initiative. Through programmes like AI for Everyone (AI4E) and AI for Industry (AI4I), he has empowered countless individuals with foundational AI knowledge, demystifying the technology and fostering a more inclusive AI ecosystem.
His commitment to democratising AI extends beyond Singapore's borders, as he co-chairs the Global Partnership on AI's (GPAI) project on Broad Adoption of AI by SMEs, leading international efforts to empower businesses of all sizes with the transformative power of AI.
Dr Leslie Teo
Senior Director, AI Products
Leslie is Senior Director of AI Products at
AI Singapore where he is tasked with catalysing the use of AI in businesses. He and his team work with companies to identify important use cases and build enabling AI products to support such use cases.
Leslie is passionate about data, data science, machine learning, and AI. He pivoted from a career in economics, finance, and investing in 2019. That year, he joined Grab as Head of Data Science, Policy, and Data Initiatives and Advisor to the CEO. In that role, he sought to answer critical business and social questions using data and build products that provided relevant insights, such as congestion patterns and creating safer bike paths. He helped lay the foundation for the data science and analytics role at Grab and Singtel’s digital bank (GxS).
After Grab, Leslie was Managing Director at Great Eastern Life Insurance for Data and Strategic Transformation. He and his team were responsible for enabling data analytics and data science across the organisation and fostering business transformation capabilities to deliver value in areas such as distribution, marketing, risk management and digital products.
Before Grab, Leslie was the Director of the Economics and Investment Strategy Department and Chief Economist at GIC Private Limited, Singapore’s sovereign wealth fund. He oversaw the team responsible for asset allocation, total portfolio construction, systematic investing, and identifying critical long-term trends that would impact GIC’s portfolio. He remains an advisor to the government on reserve management issues.
Leslie was also at the International Monetary Fund. During his Fund career, he worked on financial sector restructuring, financial stability, public debt management, monetary policy and operations.
He was also Head of the Financial Surveillance Division at the Monetary Authority of Singapore.
Leslie has a strong belief in education. He was a Board member of the Pacific Pension and Investment Institute and the National University of Singapore. He was a Vice President of the Economic Society of Singapore, chaired the advisory board for NUS’ Faculty of Arts and Sciences, and advised NUS’ Investment Committee and Business School.
Leslie has a Liberal Arts and Sciences degree from the University of Chicago and a Ph.D. in Economics and Finance from the University of Rochester. He has a Master’s in Information and Data Science from the University of California at Berkeley. In addition, he is a certified Financial Risk Manager and a CFA charter holder.
Koo Sengmeng
Director, AI Talent Development
Sengmeng is a seasoned public sector professional in national AI strategy and global AI standards development. Currently serving as the Director of AI Talent Development at AI Singapore, he and his team drives AI literacy and proficiency programmes to cultivate local talent in this vital sector and build integrated AI talent ecosystems to ensure their sustainability.
These efforts empower working professionals to #PLUSskill themselves, support organization to transform and be competitive in the digital economy, as well as help schools to prepare students to thrive in a future AI world.
With a background spanning 25 years in private and public sector, Sengmeng has built products and services that deliver value and impact. Notably, his works influenced the growth of the Asia Pacific technology sector, catalysing NVIDIA to establish its global network of AI Technology Centres, headquartered out of Singapore back in 2015 and contributing to growth of homegrown unicorns like Garena (now SEA Limited).
In addition to his role at AI Singapore, Sengmeng holds positions in national taskforces and advisory councils. He is the national co-chair overseeing Singapore’s contributions to global standards such as ISO/IEC 42001 and represent Singapore to vote at ISO SC42 plenaries.
In 2020, Sengmeng founded the AI Professionals Association supported by AI Singapore, key opinion leaders, and industry partners. Through this association, he successfully trademarked the “Chartered AI Engineer (CAIE) ®” professional qualification, aiming to foster the growth of a globally recognized community of qualified AI engineers to pave the way for sustainable real-world AI governance practices. With the advancements in generative AI and increasing utility of AI tools, he currently drives the adoption and recognition of Certified AI Practitioners (CAIP) in key industry sectors.
Sengmeng holds two master’s degrees in technology management and business administration, and a bachelor’s in mechanical engineering. His professional qualifications include PMP®, CSM® and Advanced CSPO®. He is also a recognised Fellow of the Singapore Computer Society.
Recognized as a thought leader and speaker in national strategies and policies in AI and digital transformation, Sengmeng has published a paper titled “Effective Innovation Intermediary for AI Adoption” and contributed as an author to research papers, including the
International Journal of STEM Education
.
With in-depth knowledge and commitment to drive AI talent development excellence, Sengmeng continues to shape the future of AI in Singapore and beyond, solidifying his status as a sought-after expert in the field.
Chia Sheng Zhi
Director, Planning & Operations
Sheng Zhi is the Director of Planning & Operations at AI Singapore, where he oversees the strategic planning, development and implementation of national initiatives to build up Singapore’s international research competitiveness in AI and strengthen the vibrancy of Singapore’s AI innovation ecosystem. He also concurrently holds a position as Director, Provost’s Office at the Nanyang Technological University.
Sheng Zhi has more than 15 years of experience in technology policy and research programme management. Of note, he has held roles at the National Research Foundation, where he was responsible for drafting the $19B Research, Innovation and Enterprise 2020 Plan, the Ministry of the Digital Development and Information, where he was supported the development of the National AI Strategy 2.0, and the Land Transport Authority, where he led the Urban Mobility Grand Challenge to research innovative solutions for public transport.
Professor Simon Chesterman
Senior Director, AI Governance
Simon Chesterman is David Marshall Professor and Vice Provost (Educational Innovation) at the National University of Singapore, where he is also the founding Dean of NUS College. He serves as
Senior Director of AI Governance at AI Singapore and Editor of the Asian Journal of International Law. Previously, he was Dean of NUS Law from 2012 to 2022 and Co-President of the Law Schools Global League from 2021 to 2023.
Educated in Melbourne, Beijing, Amsterdam, and Oxford, Professor Chesterman’s teaching
experience includes periods at the Universities of Melbourne, Oxford, Southampton, Columbia, and Sciences Po. From 2006-2011, he was Global Professor and Director of the New York University School of Law Singapore Programme. Prior to joining NYU, he was a Senior Associate at the International Peace Academy and Director of UN Relations at the International Crisis Group in New York. He has also worked for the UN Office for the Coordination of Humanitarian Affairs in Yugoslavia and interned at the International Criminal Tribunal for Rwanda.
Professor Chesterman is the author or editor of more than twenty books, including We, the Robots? Regulating Artificial Intelligence and the Limits of the Law (CUP, 2021); One Nation Under
Surveillance (OUP, 2011); You, the People (OUP, 2004); and Just War or Just Peace? (OUP, 2001). He is a recognised authority on international law, whose work has opened up new areas of research on conceptions of public authority — including the rules and institutions of global governance, state-building and post-conflict reconstruction, the changing role of intelligence agencies, and the emerging role of artificial intelligence and big data. He also writes on legal education and higher education more generally, and is the author of five novels including the Raising Arcadia trilogy and Artifice.
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Professor Ho Teck Hua
Founding Executive Chairman,
AI Singapore
Professor Phoon Kok Kwang
Deputy Executive Chairman
(Research)
Professor Luke Ong
Deputy Executive Chairman
(Applied and Translational)
Professor Mohan Kankanhalli
Deputy Executive Chairman
(Talent)
Professor Mohan Kankanhalli
Deputy Executive Chairman, AI Singapore
Prof. Mohan Kankanhalli is the Deputy Executive Chairman (Talent & Ecosystem) of AI Singapore. He currently holds the distinguished position of Provost’s Chair Professor of Computer Science and is also the Director of NUS AI Institute.
He was formerly the Dean of NUS School of Computing from 2016 to 2022. Prior to becoming the Dean, he was the NUS Vice Provost (Graduate Education) during 2014-2016 and Associate Provost (Graduate Education) during 2011-2013. Earlier, he was the Vice-Dean for Academic Affairs & Graduate Studies at the NUS School of Computing during 2008-2010 and Vice-Dean for Research during 2001-2007. He was a faculty member at the Indian Institute of Science in Bangalore during 1997-1998 and a researcher at Institute of Systems Science of NUS during 1990-1997. Mohan obtained his BTech (Electrical Engineering) from IIT Kharagpur and MS & PhD (Computer & Systems Engineering) from the Rensselaer Polytechnic Institute.
Mohan’s research interests are in Multimedia Computing, Computer Vision and Multimedia Security & Privacy. He has made fundamental contributions in the area of multimedia & vision – image and video understanding, multimodal fusion, visual saliency as well as in multimedia security – content authentication, privacy and trustworthy AI. He is actively involved in the multimedia research community organizing conferences and was the Director of Conferences for ACM SIG Multimedia during 2009-2013. He is on the editorial boards of several journals including ACM Transactions on Multimedia Computing, Communications and Applications, Springer Multimedia Systems, IEEE Multimedia, and Springer Journal on Big Data.
He directs N-CRiPT (NUS Centre for Research in Privacy Technologies) which conducts research on privacy on structured as well as unstructured (multimedia, sensors, IoT) data. N-CRiPT looks at privacy at both individual and organizational levels along the entire data life cycle. He is personally involved in privacy research related to images and video as well as privacy risk management. N-CRiPT, which has been funded by Singapore’s National Research Foundation, works with many industry, government and academic partners. He earlier directed the SeSaMe (Sensor-enhanced Social Media) Centre during 2012-2018. SeSaMe did fundamental exploration of social cyber-physical systems with applications in social sensing, sensor analytics and smart systems.
Mohan is a member of World Economic Forum’s Global Future Council on the Future of Artificial Intelligence.
Mohan is a Fellow of SNAS (Singapore National Academy of Science) and IEEE (Institute of Electrical and Electronics Engineers).
A/Prof Bryan Low
Director, AI Research
Professor Ng See Kiong
Director, AI Technology
Laurence Liew
Director, AI Innovation
Dr Leslie Teo
Senior Director, AI Products
Koo Sengmeng
Director, Talent & Ecosystem
Chia Sheng Zhi
Director, Planning & Operations
Professor Simon Chesterman
Senior Director, AI Governance
AI Research
Prof Luke Ong
Chief Scientist
A/Prof Bryan Low
Director
AI Technology
Prof Ng See Kiong
Director
Dr Ng Wee Siong
Deputy Director
Mak Mun Thye
Head, Software Architecture and Engineering
AI Innovation
Laurence Liew
Director
Najib Ninaba
Head, Platforms Engineering
Dr Kevin Chng
Head, AIAP
Ng Kim Hock
Head, Project Delivery
See Bee Leng
Head, Talent Operations
Theresa Chan
Head, Industry Development
Chen Way Yen
Head, Platforms Operations
AI Products (formerly AI Makerspace)
Dr Leslie Teo
Senior Director
Dr William Tjhi
Deputy Director
David Ong
Head, Engineering
Mark Pereira
Head, Partnerships, Strategy & Growth
Esther Choa
Head, Products
AI Governance
Prof Simon Chesterman
Senior Director
Prof Hahn Jungpil
Deputy Director
AI Talent Development (formerly LearnAI)
Koo Sengmeng
Director
Chandra Gunawan
Head of Programmes and Partnerships
AI Operations and Administration
Chia Sheng zhi
Director
Abigail Toh
Head, Marketing Communications
Rachel Tay
Head, Finance & Administration
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Professor Ho Teck Hua
Founding Executive Chairman, AI Singapore
Prof. Ho Teck Hua is the fifth President of Nanyang Technological University, Singapore (NTU), where he is a Distinguished University Professor. He is also the founding Executive Chairman of AI Singapore (AISG) and President of the Academy of Engineering, Singapore.
Professor Ho is a prominent behavioural scientist with a PhD and a master's degree in decision sciences from the Wharton School of the University of Pennsylvania. He also holds a master’s degree in computer and information sciences and a bachelor’s degree in electrical engineering with first class honours, both from the National University of Singapore (NUS).
Before joining NTU, Professor Ho served as Senior Deputy President and Provost (2018-2023) and Deputy President (Research and Technology) (2015-2018) at NUS. He was the first awardee (in 2015) of the Singapore National Research Foundation’s Returning Singaporean Scientists Scheme, for projects on “Solving Societal Challenges Using Data-Driven Decision Sciences”. In 2017, he spearheaded the creation of AISG, a national research and development programme on artificial intelligence (AI). Under his leadership, AISG launched multiple signature projects, such as the use of AI to address national challenges in healthcare and education, 100Experiments projects to catalyse the adoption of cutting-edge AI solutions in industry, and the award-winning AI Apprenticeship Programme to build a pipeline of AI talent for Singapore.
As the Provost of NUS, he was responsible for developing and enhancing NUS’s Lifelong Learning (NUS L
3
) Programme, which is a pathway for postgraduate and continuing education. He was also responsible for attracting young global and Singaporean talent to NUS via the Presidential Young Professorship Scheme and recruiting established faculty members, including a Nobel Prize awardee, to join the University to head research centres and high-level international programmes. At NUS, he oversaw the creation of NUS College, the University’s first honours college, and the College of Design and Engineering. The latter was a merger of the Faculty of Engineering and the School of Design and Environment to create a stronger base for interdisciplinary research and education at the University. He also pioneered the development of career+, a smartphone app that leverages big data and AI to help students plan their education and careers.
Prior to serving at NUS, Professor Ho was the William Halford Jr Family Professor of Marketing at the University of California, Berkeley's Haas School of Business (2002-2015), Associate Professor of Marketing at the Wharton School of the University of Pennsylvania (1997-2002), and Assistant Professor of Operations and Technology Management at the University of California, Los Angeles’s Anderson School of Management (1994-1997). At the Haas School of Business, Professor Ho received the Earl F. Cheit Award for Excellence in MBA Teachingthree years in a row (2004-2006) and the 2010 Distinguished Teaching Award, the University of California, Berkeley's highest university-level award for teaching. In 2015, he was presented with the Williamson Award, the Haas School’s highest faculty award, named in honour of Oliver Williamson, recipient of the 2009 Nobel Memorial Prize in Economic Sciences. The award celebrates honourees who best reflect the character and integrity associated with Williamson’s scholarly work and legacy.
Many of Professor Ho’s significant works have been published in refereed journals in the areas of behavioural economics, management science and marketing. He was the first non-US citizen to be Editor-in-Chief of
Management Science
, the venerable flagship journal of the Institute for Operations Research and the Management Sciences, and one of the top journals for research in management.
In Singapore, Professor Ho is a member of the boards of DSO National Laboratories, the Government Technology Agency, and the National Research Foundation. He is an academician of Academia Sinica.
Professor Phoon Kok Kwang
Founding Executive Chairman, AI Singapore
Prof Phoon Kok Kwang is President, Singapore University of Technology and Design (SUTD), as well as Cheng Tsang Man Chair Professor. He is Deputy Executive Chairman (Research) of AI Singapore (AISG), an appointment he took on from 1 August 2025. He is also a fellow of the Academy of Engineering Singapore (SAEng), the Singapore National Academy of Science (SNAS), the Institution of Engineers Singapore and the American Society of Civil Engineers. In addition to being Treasurer of Academy of Engineering Singapore, he is also a member of the Committee of Government Scientific Advisors and the Singapore-Tianjin Economic and Trade Council. Prof Phoon also sits on the Board of the Civil Aviation Authority of Singapore.
He obtained his BEng and MEng from the National University of Singapore (NUS) and his PhD from Cornell University. Prior to joining SUTD, Prof Phoon was Senior Vice-Provost (Academic Affairs) at NUS. He has also served as the Deputy Chief Scientific Advisor (DCSA) to the National Research Foundation, Prime Minister’s Office, Singapore.
Prof Phoon is a world leader in the development of statistical and machine learning methods for geotechnical engineering. He was bestowed the ASCE Norman Medal twice in 2005 and 2020, the Humboldt Research Award in 2017, the Harry Poulos Award in 2023, and the Alfredo Ang Award in 2024 among other accolades. Prof Phoon, who is the Founding Editor of Georisk and Editor-in-chief of Geodata and AI, is a Professional Engineer in Singapore and an ASEAN Chartered Professional Engineer.
Professor Luke Ong
Chief Scientist
Professor Luke Ong is the Deputy Executive Chairman (Applied and Industry) and the Chief Scientist where he is responsible for AI Singapore’s fundamental research into artificial intelligence. He is also the Vice President of Research from the School of Computer Science and Engineering, Nanyang Technological University Singapore. His research is broad, ranging across semantics of computation, programming languages, verification, logic and algorithms, and algorithmic game theory. A notable feature of his work is the combination of ideas and methods from semantics and structures, with techniques from automated verification. He is one of the leading figures and inventors of game semantics and its applications. His solution (with Hyland) to the PCF Full Abstraction Problem opened up the field of game semantics; and their constructions, known as Hyland-Ong games, have become standard notions in the semantics of programming languages.
Prof Ong is also known for his pioneering contribution in the field of verification: his LICS 2006 paper co-initiated higher-order model checking, a new branch of algorithmic verification that combines ideas and methods from semantics with automata-theoretic and allied techniques in automatic verification, with applications to the verification of higher-order programs. His current research interests include computer and cyber security, higher-order logic and satisfiability modulo theories, and probabilistic and differentiable programming.
Prior to joining NTU, he was a Lecturer then Professor of Computer Science at the University of Oxford (1994-2022); Fellow of Merton College, Oxford (1994-2022); and Prize Research Fellow, Trinity College, Cambridge (1988-1994). Professor Ong was General Chair (2013-2015) of the ACM / IEEE Logic in Computer Science (LiCS), and Founding Vice Chair (2014-2019) of the ACM Special Interest Group in Logic and Computation. He is the joint winner of the ACM / EATCS Alonzo Church Award 2017 for Outstanding Contributions to Logic and Computation.
A/Prof Bryan Low
Director, AI Research
Dr. Bryan Low is the Director of AI Research at AI Singapore and an Associate Professor of Computer Science at the National University of Singapore. He obtained the B.Sc. (Hons.) and M.Sc. degrees in Computer Science from National University of Singapore, Singapore, in 2001 and 2002, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, Pennsylvania, in 2009. His research interests include probabilistic & automated machine learning, planning under uncertainty, and multi-agent/robot systems.
Dr. Low is the recipient of the (1) Andrew P. Sage Best Transactions Paper Award for the best paper published in all 3 of the IEEE Transactions on Systems, Man, and Cybernetics – Parts A, B, and C in 2006; (2) National University of Singapore Overseas Graduate Scholarship for Ph.D. studies in Carnegie Mellon University (CMU) in 2004-2009; (3) Singapore Computer Society Prize for Best M.Sc. Thesis in School of Computing, National University of Singapore in 2003; and (4) Faculty Teaching Excellence Award in School of Computing, National University of Singapore in 2017-2018.
Dr. Low has served as a World Economic Forum’s Global Future Councils Fellow for the Council on the Future of Artificial Intelligence and Robotics from Sep 2016 to Jun 2018 and an IEEE Robotics & Automation Society (RAS) Distinguished Lecturer for the IEEE RAS Technical Committee on Multi-Robot Systems in Mar 2019. He has served as an organizing chair for the IEEE RAS Summer School on Multi-Robot Systems in Jun 2016, the AI Summer Schools in Jul 2019 and Aug 2020, and the NeurIPS 2021 Workshop on New Frontiers in Federated Learning. Dr. Low has also served as associate editors, area chairs and program committee members, and reviewers for premier AI (specifically, multiagent systems, AI planning, robotics, machine learning) conferences: IJCAI, AAAI, ECAI, AAMAS, ICAPS, RSS, IROS, ICRA, CoRL, NeurIPS, ICML, AISTATS, ICLR and journals: TKDE, JMLR, JAIR, MLJ, TNNLS, T-ASE, IJRR, T-RO, AURO, JFR, TOSN, JAAMAS. He was the top 5% reviewer for ICML 2019, top 33% reviewer for ICML 2020, and an expert reviewer for ICML 2021.
Professor Ng See Kiong
Director, AI Technology
Prof. Ng See-Kiong is the Director of AI Technology at AI Singapore with the mission to promote bold ideas and innovative approaches to solve national challenges which can be effectively addressed by AI to create significant economic and social impact with technologies. See-Kiong is also a Professor of Practice of Computer Science at the School of Computing, National University of Singapore (NUS), and the Director of Translation Research of the university’s Institute of Data Science. The Institute is the focal point at NUS for developing integrated data science capabilities for real-world impact and nurturing data scientists for Singapore’s Smart Nation initiative.
See-Kiong received the Singapore National Computer Board’s overseas scholarship in 1986. He earned both his BS (1989) and PhD (1998) in Computer Science from Carnegie Mellon University (CMU), with an MSE in Computer and Information Science (Artificial Intelligence) from University of Pennsylvania (1990). His lifelong research mission is to push the boundary of data science and artificial intelligence through transdisciplinary upstream research, and creates impact by translating the research outcomes into real-life applications through collaborating with partners from the industry and public agencies.
Prior to joining NUS, See-Kiong was the Programme Director of the Urban Systems at the Agency for Science, Technology and Research (A*STAR), a pioneering research program that developed technologies and innovations for smart cities, and the founding department head of the highly successful Data Analytics Department at A*STAR’s Institute for Infocomm Research. See-Kiong started his research career as one of the early bioinformaticians, and he has since been crossing over into many other disciplines as a seasoned AI scientist. He has published widely, with around 130 research papers in leading peer-reviewed journals and conferences across multiple disciplines to-date.
From using the computation of data to better understand the biology of the human body, See-Kiong is now using machine learning and artificial intelligence to understand the “biology” of complex human cities and societies and solving real-world grand challenges with bold innovations of AI technologies.
Laurence Liew
Director, AI Innovation
Laurence Liew is the Director for AI Innovation at AI Singapore. He is the driving force behind AI Singapore's impactful initiatives aimed at propelling AI adoption across industries and democratising AI knowledge for everyone.
As Director of AI Innovation, he leads the 100 Experiments (100E) programme, fostering collaboration between AI researchers and industry partners to develop and deploy real-world AI solutions. He is also the architect of the acclaimed AI Apprenticeship Programme (AIAP), a unique talent development initiative equipping aspiring AI engineers with practical skills and industry experience.
Laurence's passion for making AI accessible to all is evident in his leadership of the LearnAI initiative. Through programmes like AI for Everyone (AI4E) and AI for Industry (AI4I), he has empowered countless individuals with foundational AI knowledge, demystifying the technology and fostering a more inclusive AI ecosystem.
His commitment to democratising AI extends beyond Singapore's borders, as he co-chairs the Global Partnership on AI's (GPAI) project on Broad Adoption of AI by SMEs, leading international efforts to empower businesses of all sizes with the transformative power of AI.
Dr Leslie Teo
Senior Director, AI Products
Leslie is Senior Director of AI Products at
AI Singapore where he is tasked with catalysing the use of AI in businesses. He and his team work with companies to identify important use cases and build enabling AI products to support such use cases.
Leslie is passionate about data, data science, machine learning, and AI. He pivoted from a career in economics, finance, and investing in 2019. That year, he joined Grab as Head of Data Science, Policy, and Data Initiatives and Advisor to the CEO. In that role, he sought to answer critical business and social questions using data and build products that provided relevant insights, such as congestion patterns and creating safer bike paths. He helped lay the foundation for the data science and analytics role at Grab and Singtel’s digital bank (GxS).
After Grab, Leslie was Managing Director at Great Eastern Life Insurance for Data and Strategic Transformation. He and his team were responsible for enabling data analytics and data science across the organisation and fostering business transformation capabilities to deliver value in areas such as distribution, marketing, risk management and digital products.
Before Grab, Leslie was the Director of the Economics and Investment Strategy Department and Chief Economist at GIC Private Limited, Singapore’s sovereign wealth fund. He oversaw the team responsible for asset allocation, total portfolio construction, systematic investing, and identifying critical long-term trends that would impact GIC’s portfolio. He remains an advisor to the government on reserve management issues.
Leslie was also at the International Monetary Fund. During his Fund career, he worked on financial sector restructuring, financial stability, public debt management, monetary policy and operations.
He was also Head of the Financial Surveillance Division at the Monetary Authority of Singapore.
Leslie has a strong belief in education. He was a Board member of the Pacific Pension and Investment Institute and the National University of Singapore. He was a Vice President of the Economic Society of Singapore, chaired the advisory board for NUS’ Faculty of Arts and Sciences, and advised NUS’ Investment Committee and Business School.
Leslie has a Liberal Arts and Sciences degree from the University of Chicago and a Ph.D. in Economics and Finance from the University of Rochester. He has a Master’s in Information and Data Science from the University of California at Berkeley. In addition, he is a certified Financial Risk Manager and a CFA charter holder.
Koo Sengmeng
Director, AI Talent Development
Sengmeng is a seasoned public sector professional in national AI strategy and global AI standards development. Currently serving as the Director of AI Talent Development at AI Singapore, he and his team drives AI literacy and proficiency programmes to cultivate local talent in this vital sector and build integrated AI talent ecosystems to ensure their sustainability.
These efforts empower working professionals to #PLUSskill themselves, support organization to transform and be competitive in the digital economy, as well as help schools to prepare students to thrive in a future AI world.
With a background spanning 25 years in private and public sector, Sengmeng has built products and services that deliver value and impact. Notably, his works influenced the growth of the Asia Pacific technology sector, catalysing NVIDIA to establish its global network of AI Technology Centres, headquartered out of Singapore back in 2015 and contributing to growth of homegrown unicorns like Garena (now SEA Limited).
In addition to his role at AI Singapore, Sengmeng holds positions in national taskforces and advisory councils. He is the national co-chair overseeing Singapore’s contributions to global standards such as ISO/IEC 42001 and represent Singapore to vote at ISO SC42 plenaries.
In 2020, Sengmeng founded the AI Professionals Association supported by AI Singapore, key opinion leaders, and industry partners. Through this association, he successfully trademarked the “Chartered AI Engineer (CAIE) ®” professional qualification, aiming to foster the growth of a globally recognized community of qualified AI engineers to pave the way for sustainable real-world AI governance practices. With the advancements in generative AI and increasing utility of AI tools, he currently drives the adoption and recognition of Certified AI Practitioners (CAIP) in key industry sectors.
Sengmeng holds two master’s degrees in technology management and business administration, and a bachelor’s in mechanical engineering. His professional qualifications include PMP®, CSM® and Advanced CSPO®. He is also a recognised Fellow of the Singapore Computer Society.
Recognized as a thought leader and speaker in national strategies and policies in AI and digital transformation, Sengmeng has published a paper titled “Effective Innovation Intermediary for AI Adoption” and contributed as an author to research papers, including the
International Journal of STEM Education
.
With in-depth knowledge and commitment to drive AI talent development excellence, Sengmeng continues to shape the future of AI in Singapore and beyond, solidifying his status as a sought-after expert in the field.
Chia Sheng Zhi
Director, Planning & Operations
Sheng Zhi is the Director of Planning & Operations at AI Singapore, where he oversees the strategic planning, development and implementation of national initiatives to build up Singapore’s international research competitiveness in AI and strengthen the vibrancy of Singapore’s AI innovation ecosystem. He also concurrently holds a position as Director, Provost’s Office at the Nanyang Technological University.
Sheng Zhi has more than 15 years of experience in technology policy and research programme management. Of note, he has held roles at the National Research Foundation, where he was responsible for drafting the $19B Research, Innovation and Enterprise 2020 Plan, the Ministry of the Digital Development and Information, where he was supported the development of the National AI Strategy 2.0, and the Land Transport Authority, where he led the Urban Mobility Grand Challenge to research innovative solutions for public transport.
Professor Simon Chesterman
Senior Director, AI Governance
Simon Chesterman is David Marshall Professor and Vice Provost (Educational Innovation) at the National University of Singapore, where he is also the founding Dean of NUS College. He serves as
Senior Director of AI Governance at AI Singapore and Editor of the Asian Journal of International Law. Previously, he was Dean of NUS Law from 2012 to 2022 and Co-President of the Law Schools Global League from 2021 to 2023.
Educated in Melbourne, Beijing, Amsterdam, and Oxford, Professor Chesterman’s teaching
experience includes periods at the Universities of Melbourne, Oxford, Southampton, Columbia, and Sciences Po. From 2006-2011, he was Global Professor and Director of the New York University School of Law Singapore Programme. Prior to joining NYU, he was a Senior Associate at the International Peace Academy and Director of UN Relations at the International Crisis Group in New York. He has also worked for the UN Office for the Coordination of Humanitarian Affairs in Yugoslavia and interned at the International Criminal Tribunal for Rwanda.
Professor Chesterman is the author or editor of more than twenty books, including We, the Robots? Regulating Artificial Intelligence and the Limits of the Law (CUP, 2021); One Nation Under
Surveillance (OUP, 2011); You, the People (OUP, 2004); and Just War or Just Peace? (OUP, 2001). He is a recognised authority on international law, whose work has opened up new areas of research on conceptions of public authority — including the rules and institutions of global governance, state-building and post-conflict reconstruction, the changing role of intelligence agencies, and the emerging role of artificial intelligence and big data. He also writes on legal education and higher education more generally, and is the author of five novels including the Raising Arcadia trilogy and Artifice.