Director, AI Institute, Barcelona Supercomputing Center
Ricardo Baeza-Yates is the inaugural director of the AI Institute at the Barcelona Supercomputing Center since May 2025. Earlier roles include Director of Research at the Inst. for Experiential AI of Northeastern University (2021-2025) and VP of Research of Yahoo Labs (2006-2016). He has a Ph.D. in CS from the Univ. of Waterloo and is co-author of the Modern Information Retrieval textbook, that won the ASIST 2012 Book of the Year award. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow.
Director of AI Programs, Oak Ridge National Laboratory
Prasanna Balaprakash is the Director of AI Programs and a Distinguished R&D Scientist in the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL), where he co-leads the AI Initiative—an LDRD portfolio focused on secure, trustworthy, and efficient AI for scientific discovery, experimental facilities, and national security. He serves as the AI lead for several U.S. Department of Energy–funded projects and received the DOE Early Career Award in 2018.
R&D Lead, Senior Computer Scientist, Argonne National Laboratory
Frank Cappello is an R&D lead and Senior Computer Scientist at Argonne National Laboratory. He leads a research team exploring resilience for HPC and large-scale distributed systems, lossy compression of scientific data and LLMs for science. He is an IEEE Fellow, the recipient of the 2024 IEEE CS Charles Babbage Award, the 2024 Europar Achievement Award, the 2022 HPDC Achievement Award, two R&D100 awards (2019 and 2021), the 2018 IEEE TCPP Outstanding Service Award, and the 2021 IEEE Transactions of Computer Award for Editorial Service and Excellence.
Senior Computer Scientist, Argonne/UChicago
Charlie Catlett is a Senior Computer Scientist at the U.S. Department of Energy’s Argonne National Laboratory, and a Visiting Scientist at the University of Chicago’s Mansueto Institute for Urban Innovation. His research focuses on building cyberinfrastructure to embed edge-AI in urban, environmental, and emergency sensing and response settings. He was founding chair of Grid Forum / Global Grid Forum from 1999-2005 and director of NSF’s TeraGrid initiative from 2004-2007. Charlie was part of the team that established the National Center for Supercomputing Applications (NCSA) in 1985, leading efforts there including the deployment and operation of the NSFNET backbone network, an early component of the Internet, and serving as Chief Technology Officer prior to joining Argonne and UChicago in 2000. He was one of GovTech magazine’s “25 Doers, Dreamers & Drivers” of 2016 and in 2019 received the Argonne Board of Governors Distinguished Performer award. Charlie is a Computer Engineering graduate of the University of Illinois at Urbana-Champaign.
Data Science and Learning Division Director, Argonne National Laboratory
Dr. Ian Foster is Senior Scientist and Distinguished Fellow, and also director of the Data Science and Learning Division, at Argonne National Laboratory, and the Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago. Ian received a BSc degree from the University of Canterbury, New Zealand, and a PhD from Imperial College, United Kingdom, both in computer science. His research deals with distributed, parallel, and data-intensive computing technologies, and innovative applications of those technologies to scientific problems in such domains as materials science, climate change, and biomedicine. Foster is a fellow of the AAAS, ACM, BCS, and IEEE, and an Office of Science Distinguished Scientists Fellow.
PhD Student Researcher, Allen Institute for AI / University of Washington
Jiacheng is a researcher at the Allen Institute for AI (Ai2) and a PhD student at University of Washington. His research area spans LLM pre-training, post-training, text generation, commonsense reasoning, and mathematical reasoning. Most recently, he focuses on developing efficient search engines for understanding the massive training data of LLMs and tracing LLM behaviors. Jiacheng’s work has been generously supported by the Meta AI Mentorship Program and and Qualcomm Innovation Fellowship.
Director, RIKEN R-CCS
Professor Satoshi Matsuoka from April 2018 has been the director of Riken Center for Computational Science (R-CCS), the Tier-1 national HPC center for Japan, developing and hosting Japan’s flagship ‘Fugaku’ supercomputer which has become the fastest supercomputer in the world in 2020 and 2021, supporting cutting edge HPC research, including investigating Post-Moore era computing, especially the future FugakuNEXT supercomputer. He led the TSUBAME series of supercomputers that received many international acclaims, at the Tokyo Institute of Technology, where he holds a professor position pursuing research in HPC, scalable Big Data, and AI. His longtime contribution was commended with the Medal of Honor with Purple ribbon by his Majesty Emperor Naruhito of Japan in 2022. He is a Fellow in ACM, ISC, IPSJ and the JSSST and has won numerous awards including ACM Gordon Bell Prizes, the IEEE-CS Sidney Fernbach Award, and the IEEE-CS Computer Society Seymour Cray Computer Engineering Award.
Global Head of Advanced Computing, Amazon Web Services
Thierry Pellegrino is the Global head of Advanced Computing at AWS, in this role he oversees HPC, Domain specific ML, IOT and Quantum for the company. In his last role in the industry he was CEO of Penguin Computing. Prior to that he spent 23 years with Dell where he was the Head of the HPC and AI business. Thierry held multiple leadership roles in his career from engineering, strategy, M&A, and business leadership and has had the privilege to sit on the board of GRC and Penn State’s ICDS.
Computational Science Leader, Argonne National Laboratory
Arvind Ramanathan is a computational biologist in the Data Science and Learning Division at Argonne National Laboratory and a senior scientist at the University of Chicago Consortium for Advanced Science and Engineering (CASE). His research interests are at the intersection of data science, high performance computing and biological/biomedical sciences.
Professor, University of New South Wales
Flora Salim a full Professor in the School of Computer Science and Engineering at the University of New South Wales (UNSW) Sydney, where she also serves as the Deputy Director (Engagement) of the UNSW AI Institute. Her work focuses on multimodal machine learning and foundation models for time-series and spatio-temporal data, multimodal sensors, and wearables, and on applications of AI and LLMs for smart and sustainable cities, and for mobility, transport, energy, and grid systems. She is a member of the Australian Academy of Sciences’ National Committee for Information and Computing Sciences and an elect member of the Australian Research Council (ARC) College of Experts. She has received multiple nationally and internationally competitive fellowships, such as Humboldt Fellowship, Bayer Fellowship, and many accolades and awards such as the Women in AI Award Australia and New Zealand (2022) and IBM Smarter Planet Industry Innovation Award. She is a Vice Chair of the IEEE Task Force on AI for Time-Series and Spatio-Temporal Data and serves as an editorial board member of many journals including ACM TIST, ACM TSAS, IMWUT, IEEE Pervasive Computing, and Nature Scientific Data.
Associate Laboratory Director - CELS | Professor of Computer Science, Argonne National Laboratory | The University of Chicago
Rick Stevens is a Professor of Computer Science at the University of Chicago and the Associate Laboratory Director of the Computing, Environment and Life Sciences (CELS) Directorate and Argonne Distinguished Fellow at Argonne National Laboratory. His research spans the computational and computer sciences from high-performance computing architecture to the development of advanced tools and methods. Recently, he has focused on developing AI methods for a variety of scientific and biomedical problems, and also has significant responsibility in delivering on the U.S. national initiative for Exascale computing and developing the DOE’s Frontiers in Artificial Intelligence for Science, Security, and Technology (FASST) initiative.
Professor, Institute of Science Tokyo
Rio Yokota is a Professor at the Supercomputing Research Center, Institute of Science Tokyo. He also leads the AI for Science Foundation Model Research Team at RIKEN CCS. His research interests lie at the intersection of HPC and ML. He has been optimizing algorithms on GPUs since 2007, and was part of a team that received the Gordon Bell prize in 2009 using the first GPU supercomputer. He has been leading distributed training efforts on Japanese supercomputers such as ABCI, TSUBAME, and Fugaku.
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© 2025 TCI Media.