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 L3) 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 the Defence Science and Technology Agency, DSO National Laboratories, the Government Technology Agency, and the National Research Foundation. He is an academician of Academia Sinica.

Professor Mohan Kankanhalli

Deputy Executive Chairman, AI Singapore

Prof. Mohan Kankanhalli is the Deputy Executive Chairman 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).

Professor Luke Ong

Chief Scientist

Professor Luke Ong is the Chief Scientist for AI Singapore and 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.

    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.

    Dr Sintia Teddy-Ang

    Director, Planning & Operations

    Dr Sintia Teddy-Ang graduated with First Class Honours in Computer Engineering in 2003 from Nanyang Technological University, Singapore and subsequently received her PhD from the same university in 2008.

    She spent about 6 years in data analytics and computational intelligence-related research projects and consultancies in collaboration with both public and private industry sectors when she was with the Institute for Infomcomm Research (I2R), Agency for Science, Technology and Research (A*STAR) Singapore, from 2007-2013. Her key expertise was in data mining, intelligent systems and predictive analytics and their applications in addressing Business Analytics problems. She has published significant papers in internationally acclaimed journals and conferences such as IEEE Transactions on Neural Networks, International Journal of Forecasting and IEEE Transactions on Reliability.

    Dr Teddy-Ang joined NUS in June 2018 and she is currently the Director for Strategic and Synergetic Programmes at the Office of the Senior Deputy President and Provost, where she assists Provost with Research, Innovation, Academic and Admission related policies and programmes. She is concurrently the Director of Planning & Operations at AI Singapore (a national R&D Programme in Artificial Intelligence hosted at NUS), and Deputy Director of Strategy & Operations at NUS Centre for Trusted Internet and Community (CTIC).

    Prior to NUS, she was the Deputy Director for Services and Digital Economy (SDE) directorate at the National Research Foundation (NRF), where she was responsible for the management and strategy development of R&D in SDE domain, with a vision to develop, integrate and leverage Singapore’s digital innovation capabilities to meet national priorities, raise productivity and support key services, create sustainable economic opportunities and high quality jobs. She was also leading the planning, strategising and implementation of national digital R&D programs such as AI Singapore and Singapore Data Science Consortium.

    Dr Ben Leong

    Chief Data Officer

    Dr. Ben Leong is the Chief Data Officer (Technical) at AI Singapore. He is also concurrently Director of the AI Centre for Educational Technologies (AICET). The AICET develops pedagogy-centric software systems to support teaching and learning. The centre currently provides technical expertise and support to the Ministry of Education (MOE) in the development of a new AI-enabled Adaptive Learning System for Mathematics. 

    Dr. Leong is an Associate Professor of Computer Science at the School of Computing, National University of Singapore (NUS). He received his S.B. (1997), M.Eng. (1997) and Ph.D. (2006) degrees from the Massachusetts Institute of Technology.

    Since Mar 2021, Dr. Leong also been appointment as the Director for the Centre for Computing for Social Good and Philanthropy (CCSGP) at the School of Computing. The CCSGP aims to complement the technical training provided by the NUS School of Computing with opportunities to do good, by providing mentorship in leadership training and encouraging philanthropy among the alumni.

    Dr. Leong’s research interests are broadly in the areas of computer networking and distributed systems. He has worked on a number of problems in the areas of sensor networks, network coding and peer-to-peer file transfers in the past. More recently, he is working on improving communications for mobile cellular networks, low-latency TCP and software defined networks. He received a number of Best Paper awards and was recepient of the 2009 ComSoc & Information Theory Society Joint Paper Award. 

    From July 2014 to Jun 2019, Dr. Leong served as the founding Director for the Experimental Systems & Technology Lab at the Singapore Ministry of Education. In this role, Dr. Leong set up the in-house software development capabilities for MOE and oversaw the developing of the Student Learning Space (SLS), the national learning management system currently in use at all MOE schools. 

    Prior to doing his PhD at MIT and joining NUS, Dr. Leong served as Assistant Director (Legal Service & Discipline) at the PSC Secretariat under the Public Service Division from 1999 to 2001. In that role, Dr. Leong managed the HR functions for the Singapore Legal Service and was in charge of disciplinary matters for the Singapore Civil Service.

    Benjamin Ang

    Chief Data Officer (Policy)

    Benjamin Ang is the Chief Data Officer (Policy) at AI Singapore, where he oversees governance and policies around the utilisations of AISG’s data assets. He also leads implementation of cybersecurity and data privacy measures for AISG’s data assets.

    He is concurrently a Senior Fellow and Deputy Head of the Center of Excellence for National Security (CENS), a policy research think tank in the S Rajaratnam School of International Studies, Nanyang Technological University, Singapore. He leads the Cyber and Homeland Defence Programme (CHDP) of CENS, a team whose research areas include international cyber norms, cyber deterrence, cyber state governance, hybrid warfare and influence operations, cybercrime, smart city cybersecurity and governance, data privacy, national security issues in artificial intelligence, disinformation, foreign interference, hybrid threats, and strategic communications. The team includes researchers based in Singapore and adjuncts from the USA and Israel, who are drawn from multidisciplinary backgrounds of law, technology, communications, psychology, political science, marketing, law enforcement, and international relations.

    Benjamin also serves on the Executive Committee of the Singapore Chapter of the Internet Society, the international non-profit organisation that is the trusted source of leadership on Internet policy, technology standards, and future development.

    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

    Sim Xinming

    Head, Strategic Programmes

    Mak Mun Thye

    Head, Software Architecture and Engineering

    AI Innovation

    Laurence Liew

    Director

    Koo Sengmeng

    Senior Deputy Director

    Najib Ninaba

    Head, Platforms Engineering

    Kevin Oh

    Head, AI (100E)

    Ng Kim Hock

    Head, Project Management

    See Bee Leng

    Head, Talent Operations

    Theresa Chan

    Head, Industry Development

    Dr Siavash Sakhavi

    Asst. Head, 100E

    Chen Way Yen

    Asst. Head, Platforms Engineering Ops

    Kevin Chng

    Asst. Head, AIAP

    Dr. Betty Tsai

    Head, AIAP Talent Recruitment and Community Outreach

    AI Products (formerly AI Makerspace)

    Dr Leslie Teo

    Senior Director

    Dr William Tjhi

    Head, Applied Research for Foundation Models (ARF)

    David Ong

    Head, Engineering

    Darius Liu

    Head of Strategy, Partnerships & Growth

    Esther Choa

    Lead AI Products Manager

    David Ong

    Head, Engineering

    AI Governance

    Prof Simon Chesterman

    Senior Director

    Prof Hahn Jungpil

    Deputy Director

    AI Operations and Administration

    Dr Sintia-Teddy Ang

    Director

    Abigail Toh

    Head, Marketing Communications

    Asha Srinivasan

    Head, IP Management & Commercialisation

    Rachel Tay

    Head, Finance & Operations