Professor Ho Teck Hua

Executive Chairman, ai singapore

Professor Ho Teck Hua is the senior deputy president and provost of the National University of Singapore (NUS). He is also the Tan Chin Tuan Centennial Professor at NUS.

Teck is a prominent behavioural scientist with a PhD in decision sciences from the Wharton School of the University of Pennsylvania. He also has a bachelor’s degree in electrical engineering with first class honours, a master’s degree in computer and information sciences from NUS, and a master’s degree in decision sciences from the Wharton School.

In 2011, he took a part-time appointment at NUS as vice president (research strategy), and became director of the NUS Centre for Behavioural Economics. In 2015, he became deputy president (research and technology) at NUS. In Singapore, he is a board member of the National University Health System, a member of the board of directors of the National Environment Agency, a fellow at the Civil Service College, and has served as chair of a research advisory panel for the Land Transport Authority. He is also the executive chairman of AI Singapore, a national research and development programme, and chairman of the Singapore Data Science Consortium.

Prior to his role as deputy president, Teck was the William Halford Jr Family Professor of Marketing at the University of California, Berkeley’s Haas School of Business. He was also the director of the Asia Business Center and served as the Haas School’s associate dean of academic affairs and the chair of the Marketing Group. In 1999, he earned tenure in the marketing department at the Wharton School of the University of Pennsylvania. Prior to that, he was assistant professor of operations and technology management at the UCLA Anderson School of Management.

Teck has published many significant works in refereed journals in the areas of behavioural economics, management science, and marketing. In 2014, a co-authored paper won the second place Wickham Skinner Best Paper Award from Production and Operations Management. He has also been a finalist for three of the most prestigious awards in marketing research, including the 2011 William F O’Dell Award, the 2006 John DC Little Best Paper Award, and the 2005 Paul Green Best Paper Award.

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. He has also been an associate editor of the Journal of Marketing Research, Marketing Science, and a co-editor of Foundations and Trends in Marketing.

Teck has consulted and taught for many large companies, including Autodesk, eBay, Google, Intel, and Johnson & Johnson, among others. He is one of the most sought after experts on strategic pricing strategy and behavioural change.

At the Haas School of Business, Teck received the 2015 Williamson Award, the School’s highest faculty award, named in honour of Oliver Williamson, the 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. He was awarded the prestigious Berkeley Distinguished Teaching Award in 2010, and the Earl F Cheit Award for Excellence in Teaching in 2004, 2005, and 2006.

Professor Chen Tsuhan

Chief Scientist

Tsuhan Chen is the Chief Scientist for AI Singapore and is responsible for AI Singapore’s fundamental research into artificial intelligence.

He was formerly the Dean of the College of Engineering, and the Cheng Tsang Man Chair Professor at the Nanyang Technological University, Singapore. Prior to that, he was the David E. Burr Professor of Engineering at Cornell University in Ithaca, New York, and served as the Director of the School of Electrical and Computer Engineering from 2009 to 2013. During his time at Cornell, Tsuhan promoted the School to a top ranking position, and launched several initiatives to encourage innovation and to promote research and teaching excellence. He increased the School’s funding level and enrollment, and developed a strategic plan to identify technical areas for future growth.

He also directed the Advanced Multimedia Processing Laboratory, with research activities in the interdisciplinary field of visual computing, which includes: computer vision, pattern recognition, machine learning, and image processing.

Professor Leong Tze Yun

director, aI technology

Leong Tze Yun is Director of AI Technology at AI Singapore. She is Professor of Practice of Computer Science at the School of Computing, National University of Singapore. She also directs the Medical Computing Laboratory at the School.

Tze Yun received her SB, SM, and PhD degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT), USA. Her research interests include decision-theoretic artificial intelligence, cognitive modeling, machine learning, adaptive computing and biomedical and health informatics. She has over 150 publications in international peer-reviewed journals and conferences. She has served on editorial boards and program committees of leading international journals and conferences in artificial intelligence and biomedical informatics. She is an elected Fellow of the American College of Medical Informatics (ACMI) and a founding Member of the International Academy of Health Sciences Informatics (IAHSI).

Tze Yun is also a technopreneur and participates in the technology start-ups ecosystem. With both academic background and business experience, she has contributed to panels and committees that advice on R&D directions and education in Computer Science, Artificial Intelligence and Health Informatics in Singapore and abroad. She recently served as Member of the Working Committee on Research and Technology of the Information and Communication Technology and Media Master Plan 2025 in Singapore; Vice President overseeing the working groups and special interest groups of the International Medical Informatics Association (IMIA) and Advisory Board Member of the United Nations University Institute for Computing and Society (UNU-CS).

Laurence Liew

director, aI industry innovation

Laurence is the Director for AI Industry Innovation at AI Singapore and is driving the adoption of AI by the Singapore ecosystem through the 100 Experiments and AI Apprenticeship programmes. A visionary and serial technopreneur, Laurence identified and introduced Singapore’s enterprises to:

  • Linux and open source in 1999, as the first RED HAT partner in Asia Pacific

  • High Performance Computing (HPC) Cluster and Grid computing from 2001, by deploying most of the initial HPC clusters in A*STAR, NUS, NTU and SMU, and architecting and operating Singapore’s first Grid platform – IDA’s National Grid Pilot Platform

  • Open Source Analytics in 2011 with Revolution Analytics. Revolution Analytics was acquired by Microsoft in 2015.

Pro bono appointments:

2018 – Chairman, AI Standards Technical Committee, ITSC

2018 – Advisor, SGTECH AI+HPC Chapter

2018 – Technical Workgroup for IMDA National ICM Technology Roadmap – Track T4 (AI and Data, and Blockchain)

2013 – 2015 – Working Group Member, National Infocomm Media Masterplan 2025, Infocomm Development Authority of Singapore

Laurence graduated from the National University of Singapore (NUS) with First Class Honours in Engineering, and also holds a Masters in Knowledge Engineering from NUS.


AI Research

Professor Chen Tsuhan

Chief Scientist

A/Prof Bryan Low

Deputy Director

AI Technology

Professor Leong Tze Yun


Dr Stefan Winkler

Deputy Director

A/Prof Bryan Low

Deputy Director

AI Industry Innovation

Laurence Liew


Koo Seng Meng

Deputy Director

William Tjhi

Associate Director and Head of AI Engineering

Maurice Manning

Head of AI Applications

Najib Ninaba

Head of AI Platforms

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