Singapore Supercomputing
Virtual Forum

Martin Chee

Managing Director IBM Singapore

Martin Chee was appointed as the Managing Director for IBM Singapore in April 2020. In his new role, Martin brings deep industry experience to spearhead IBM's digital transformation initiatives in Singapore. He is responsible for driving IBM’s growth and strengthening IBM’s partnership with clients as they acquire cloud and cognitive capabilities to drive the digital transformation of their businesses.

Prior to this role, Martin was Vice President for IBM Analytics in the Asia Pacific region with responsibility for helping clients leverage emerging technology to modernise and unlock the value of their data assets. A senior leader with two decades of regional experience, Martin started his career with IBM Singapore in the Software Group in 2001.

Throughout his career with IBM, Martin has held various leadership positions in Services, Software and Enterprise sales in the Asia Pacific region. Martin holds a Bachelor of Laws (LLB) from the National University of Singapore and started his career as an Intellectual Property lawyer before switching to the IT industry

Dr.Dario Gil

Director of IBM Research

Dr. Darío Gil is the Director of IBM Research, one of the world’s largest and most influential corporate research labs. He is the 12th Director in its 75-year history.

IBM Research is composed of over 3,000 researchers at 19 locations on six continents advancing the future of computing. Dr. Gil leads innovation efforts at IBM, directing research strategies in areas including AI, cloud, quantum computing, and exploratory science. Under his leadership IBM was the first company in the world to build programmable quantum computers and make them universally available through the cloud.

An advocate of collaborative research models, Dr. Gil co-chairs the MIT-IBM Watson AI Lab, which advances fundamental AI research to the broad benefit of industry and society. He also co-chairs the COVID-19 High-Performance Computing Consortium, which provides access to the world’s most powerful high-performance computing resources in support of COVID-19 research.

Dr. Gil is a Trustee of the New York Hall of Science, has been a member of the President's Council of Advisors on Science and Technology (PCAST), and is a nominee to the National Science Board (NSB), the governing body of the National Science Foundation (NSF).

Dr. Gil received his Ph.D. in Electrical Engineering and Computer Science from MIT.

Dr. Lim Keng Hui

Executive Director,  Institute of High Performance Computing, A*STAR

Dr. Lim Keng Hui is concurrently the Executive Director of IHPC and the Executive Director of the A* Initiative for AI & Analytics (AI3).  In his IHPC position, he leads the research institute to advance scientific knowledge, and deliver impact to the industry and society through research in modelling, simulation, and AI.  In his AI3 position, he leads and coordinates the AI and data science efforts across all A*STAR Research Institutes.  Currently an adjunct professor in SUTD, Dr Lim has also served on national-level R&D committees in Urban Solutions and several other sectors.

Clarisse Taaffe-Hedglin

Executive IT Architect, IBM Systems

Clarisse Taaffe-Hedglin is an Executive IT Architect in the IBM Systems Worldwide Experience Center with expertise on application performance and benchmarking. As a senior member of the Artificial Intelligence Center of Competency, she works with clients across many industries to shape their computing strategy, define an architectural design and prototype solutions in High Performance Computing,  Analytics, machine learning and deep learning to enhance insights from their data.

Clarisse has many years’ experience evaluating client datasets to tune systems, applications and models for high performance and scalability. Her current focus is on bringing AI into the HPC workflow for increased productivity.  She also works with universities to bring  in hand-on learning opportunities through labs and hackathons and is an IBM Quantum Ambassador.

She previously held cross-platform technical management roles in IBM and started her career as a Mainframe  s/390 Vector Facility developer. Clarisse has a background in numerical analysis and parallel systems optimization with a Masters of Science degree in Mathematics from Purdue University.

Dr. Prabhat

Data and Analytics Group Lead, NERSC, Berkeley Lab

Dr.Prabhat leads the Data and Analytics Services team at NERSC; his group is responsible for supporting over 7000 scientific users on NERSC’s HPC systems. His current research interests include Deep Learning, Machine Learning, Applied Statistics and High Performance Computing. In the past, Dr.Prabhat has worked on topics in scientific data management; he co-edited a book on ‘High Performance Parallel I/O’.

Dr.Prabhat is the Director of the Big Data Center collaboration between NERSC, Intel, Cray, UC Berkeley, UC Davis, NYU, UBC, Oxford and Liverpool. The BDC project aims at enabling capability, data-intensive science applications on the NERSC Cori system.
Dr.Prabhat received a B.Tech in Computer Science and Engineering from IIT-Delhi (1999); ScM in Computer Science from Brown University (2001) and a PhD in Earth and Planetary Sciences from U.C. Berkeley (2020).

Dr.Prabhat has co-authored over 150 papers spanning several domain sciences and topics in computer science. He has won 5 Best Paper Awards, 3 Industry Innovation Awards, and he was a part of the team that won the 2018 Gordon Bell Prize for their work on ‘Exascale Deep Learning’.

Junye Huang

Quantum Developer Advocate, IBM

Junye Huang is a Quantum Developer Advocate at IBM Quantum. He is part of the Qiskit community team and focuses on quantum education in the Asia Pacific region. Last October, before joining IBM, he organised the first ever university Qiskit hackathon at the National University of Singapore, where he is also a PhD candidate in experimental low temperature physics.

Joaquín Keller

Co-founder, Entropica Labs

Joaquin Keller is cofounder of Entropica Labs, a Singapore startup in Quantum Machine Learning. He previously served as the head of a distributed computing research group at telecom firm Orange in Paris, France