General Chair
Daphne Koller
Chief Computing Officer
Insitro
Daphne Koller is CEO and Founder of insitro, a machine learning-driven drug discovery company. She was the co-founder and co-CEO of Coursera, an online education platform for massive open online courses (MOOCs), which has reached over 100M learners worldwide. Daphne was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years, and remains an Adjunct Faculty member. She is the author of over 300 refereed publications appearing in venues such as Science, Cell, Nature Genetics, NeurIPS, and ICML, with an h-index of 150. Daphne was recognized as one of TIME Magazine’s 100 most influential people in 2012 and Newsweek’s 10 most important people in 2010. She received the Sloan Foundation Faculty Fellowship in 1996, the ONR Young Investigator Award in 1998, the Presidential Early Career Award for Scientists and Engineers (PECASE) in 1999, the IJCAI Computers and Thought Award in 2001, the MacArthur Foundation Fellowship in 2004, the ACM Prize in Computing in 2008, the ACM AAAI Allen Newell Award in 2019, the IEEE CS Women of ENIAC Computer Pioneer award and the AnitaB.org Technical Leadership Abie Award Winner in 2022. Daphne was inducted into the National Academy of Sciences in 2023, the National Academy of Engineering in 2011 and elected a fellow of the American Association for Artificial Intelligence in 2004, the American Academy of Arts and Sciences in 2014 and the International Society of Computational Biology in 2017. Her teaching was recognized via the Stanford Medal for Excellence in Fostering Undergraduate Research, and as a Bass University Fellow in Undergraduate Education.
Daphne Koller is CEO and Founder of insitro, a machine learning-driven drug discovery company. She was the co-founder and co-CEO of Coursera, an online education platform for massive open online courses (MOOCs), which has reached over 100M learners worldwide. Daphne was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years, and remains an Adjunct Faculty member. She is the author of over 300 refereed publications appearing in venues such as Science, Cell, Nature Genetics, NeurIPS, and ICML, with an h-index of 150. Daphne was recognized as one of TIME Magazine’s 100 most influential people in 2012 and Newsweek’s 10 most important people in 2010. She received the Sloan Foundation Faculty Fellowship in 1996, the ONR Young Investigator Award in 1998, the Presidential Early Career Award for Scientists and Engineers (PECASE) in 1999, the IJCAI Computers and Thought Award in 2001, the MacArthur Foundation Fellowship in 2004, the ACM Prize in Computing in 2008, the ACM AAAI Allen Newell Award in 2019, the IEEE CS Women of ENIAC Computer Pioneer award and the AnitaB.org Technical Leadership Abie Award Winner in 2022. Daphne was inducted into the National Academy of Sciences in 2023, the National Academy of Engineering in 2011 and elected a fellow of the American Association for Artificial Intelligence in 2004, the American Academy of Arts and Sciences in 2014 and the International Society of Computational Biology in 2017. Her teaching was recognized via the Stanford Medal for Excellence in Fostering Undergraduate Research, and as a Bass University Fellow in Undergraduate Education.
Program Chair
Yoshua Bengio
Professor
Mila/U. Montreal
Program Chair
Dale Schuurmans
Google DeepMind & University of Alberta
Tutorial Chair
Geoffrey Gordon
CMU Machine Learning
Dr. Gordon is a Professor in the Department of Machine Learning
at Carnegie Mellon University. He works on AI, machine learning,
game theory, multi-robot systems, and planning in probabilistic,
adversarial, and general-sum domains. His previous appointments
include Research Director at MSR Montreal, Interim Department
Head at CMU MLD, Visiting Professor at the Stanford Computer
Science Department, and Principal Scientist at Burning Glass
Technologies in San Diego. Dr. Gordon received his B.A. in Computer
Science from Cornell University in 1991, and his Ph.D. in Computer
Science from Carnegie Mellon University in 1999.
Dr. Gordon is a Professor in the Department of Machine Learning
at Carnegie Mellon University. He works on AI, machine learning,
game theory, multi-robot systems, and planning in probabilistic,
adversarial, and general-sum domains. His previous appointments
include Research Director at MSR Montreal, Interim Department
Head at CMU MLD, Visiting Professor at the Stanford Computer
Science Department, and Principal Scientist at Burning Glass
Technologies in San Diego. Dr. Gordon received his B.A. in Computer
Science from Cornell University in 1991, and his Ph.D. in Computer
Science from Carnegie Mellon University in 1999.
Workshop Chair
Maneesh Sahani
Professor of Theoretical Neuroscience and Machine Learning
Gatsby Unit, UCL
Workshop Chair
Alexander Smola
Boson AI - we are hiring!
Boson AI
Boson AI
Demonstration Chair
Ralf Herbrich
Dr.
Hasso Plattner Institute
Publications Chair
Leon Bottou
Facebook AI Research
Léon Bottou received a Diplôme from l'Ecole Polytechnique, Paris in 1987, a Magistère en Mathématiques Fondamentales et Appliquées et Informatiques from Ecole Normale Supérieure, Paris in 1988, and a PhD in Computer Science from Université de Paris-Sud in 1991. He joined AT&T Bell Labs from 1991 to 1992 and AT&T Labs from 1995 to 2002. Between 1992 and 1995 he was chairman of Neuristique in Paris, a small company pioneering machine learning for data mining applications. He has been with NEC Labs America in Princeton since 2002. Léon's primary research interest is machine learning. His contributions to this field address theory, algorithms and large scale
applications. Léon's secondary research interest is data compression and coding. His best known contribution in this field is the DjVu document compression technology (http://www.djvu.org.) Léon published over 70 papers and is serving on the boards of JMLR and IEEE TPAMI. He also serves on the scientific advisory board of Kxen Inc .
Léon Bottou received a Diplôme from l'Ecole Polytechnique, Paris in 1987, a Magistère en Mathématiques Fondamentales et Appliquées et Informatiques from Ecole Normale Supérieure, Paris in 1988, and a PhD in Computer Science from Université de Paris-Sud in 1991. He joined AT&T Bell Labs from 1991 to 1992 and AT&T Labs from 1995 to 2002. Between 1992 and 1995 he was chairman of Neuristique in Paris, a small company pioneering machine learning for data mining applications. He has been with NEC Labs America in Princeton since 2002. Léon's primary research interest is machine learning. His contributions to this field address theory, algorithms and large scale
applications. Léon's secondary research interest is data compression and coding. His best known contribution in this field is the DjVu document compression technology (http://www.djvu.org.) Léon published over 70 papers and is serving on the boards of JMLR and IEEE TPAMI. He also serves on the scientific advisory board of Kxen Inc .