YY
General Chair
Organizers
ICLR 2025
Senior Program Chair
Carl Vondrick
Program Chair
Animesh Garg
I am an Assistant Professor of Computer Science at Georgia Institute of Technology I direct the People, AI and Robotics (PAIR) group. I am also a Sr. Research Scientist at Nvidia.
I earned a Ph.D. from UC Berkeley and completed a postdoc at Stanford. My current research focuses on machine learning algorithms for perception and control in robotics.
I am an Assistant Professor of Computer Science at Georgia Institute of Technology I direct the People, AI and Robotics (PAIR) group. I am also a Sr. Research Scientist at Nvidia.
I earned a Ph.D. from UC Berkeley and completed a postdoc at Stanford. My current research focuses on machine learning algorithms for perception and control in robotics.
NP
Program Chair
Nanyun (Violet) Peng
FS
Program Chair
Fei Sha
Program Chair
Rose Yu
JZ
Associate Program Chair
James Zou
Ethics Review Chair
Jiahao Chen
I am the Director of Artificial Intelligence and Machine Learning at New York City's Office of Technology and Innovation. I am responsible for work related to the city's AI Action Plan, being New York City's public commitment to lead the responsible use of innovative artificial intelligence (AI) technology, particularly at the level of local governments. I bring my years of experience in global AI governance and AI risk management to the role, having previously founded Responsible AI LLC, a startup, and expertise in ML for financial services and academic research.
I remain active in academic research and am published in leading venues. I am currently an Ethics Chair of the NeurIPS machine learning conference and Area Chair for the ACM FAccT conference on Fairness, Accountability and Transparency.
I am the Director of Artificial Intelligence and Machine Learning at New York City's Office of Technology and Innovation. I am responsible for work related to the city's AI Action Plan, being New York City's public commitment to lead the responsible use of innovative artificial intelligence (AI) technology, particularly at the level of local governments. I bring my years of experience in global AI governance and AI risk management to the role, having previously founded Responsible AI LLC, a startup, and expertise in ML for financial services and academic research.
I remain active in academic research and am published in leading venues. I am currently an Ethics Chair of the NeurIPS machine learning conference and Area Chair for the ACM FAccT conference on Fairness, Accountability and Transparency.
ED
Ethics Review Chair
Emily Denton
NM
Ethics Review Chair
Ninareh Mehrabi
OR
Ethics Review Chair
Olga Russakovsky
JZ
Ethics Review Chair
Jieyu Zhao
AB
Executive Director
Andrea Brown
Workflow Chair
Zhenyu (Sherry) Xue
Workshop Chair
Pierre Alquier
2023-... - Professor - ESSEC Business School in the ASIA-PACIFIC Campus @ Singapore
2019-2022 - Research Scientist - RIKEN AIP Tokyo
2014-2019 - Professeur de Statistique - ENSAE Paris
2012-2014 - Lecturer in Statistics - UCD Dublin
2007-2012 - Maître de Conférences (lecturer) en Statistique - Université Paris Diderot (now: Université Paris Cité )
2024-... - Moderator for arXiv stat.ML
2022-... - Action Editor of Transactions on Machine Learning Research
2020-... - Action Editor of the Journal of Machine Learning Research
2023-... - Professor - ESSEC Business School in the ASIA-PACIFIC Campus @ Singapore 2019-2022 - Research Scientist - RIKEN AIP Tokyo 2014-2019 - Professeur de Statistique - ENSAE Paris 2012-2014 - Lecturer in Statistics - UCD Dublin 2007-2012 - Maître de Conférences (lecturer) en Statistique - Université Paris Diderot (now: Université Paris Cité )
2024-... - Moderator for arXiv stat.ML 2022-... - Action Editor of Transactions on Machine Learning Research 2020-... - Action Editor of the Journal of Machine Learning Research
AD
Workshop Chair
Adji Bousso Dieng
Workshop Chair
Nezihe Merve Gürel
LO
Workshop Chair
Luis Oala
Head of Machine Learning @ Dotphoton
Head of Machine Learning @ Dotphoton
Workshop Chair
Yanan Sui
Yanan Sui is a tenured associate professor at Tsinghua University working on Machine Learning, Neural Engineering, and Robotics. He received undergraduate degree from Tsinghua and Ph.D. degree from Caltech, working with Profs. Mu-ming Poo, Joel Burdick, and Yisong Yue. He was a postdoc with Prof. Fei-Fei Li at Stanford before joining Tsinghua. Yanan is dedicated to the research of neuro-musculo-skeletal modeling, learning and control, with applications in embodied intelligence and brain-machine interaction. His work on safe optimization has been included in textbooks at Stanford and other universities. He co-won best paper awards at robotics conference and workshop. His work has been successfully applied to the clinical treatment of neural injuries in China and the United States. He serves as committee member / senior area chair / area chair for leading AI conferences. His contributions have been recognized by MIT Technology Review's Innovators Under 35 in China, AI 100 Young Pioneer Award etc.
Yanan Sui is a tenured associate professor at Tsinghua University working on Machine Learning, Neural Engineering, and Robotics. He received undergraduate degree from Tsinghua and Ph.D. degree from Caltech, working with Profs. Mu-ming Poo, Joel Burdick, and Yisong Yue. He was a postdoc with Prof. Fei-Fei Li at Stanford before joining Tsinghua. Yanan is dedicated to the research of neuro-musculo-skeletal modeling, learning and control, with applications in embodied intelligence and brain-machine interaction. His work on safe optimization has been included in textbooks at Stanford and other universities. He co-won best paper awards at robotics conference and workshop. His work has been successfully applied to the clinical treatment of neural injuries in China and the United States. He serves as committee member / senior area chair / area chair for leading AI conferences. His contributions have been recognized by MIT Technology Review's Innovators Under 35 in China, AI 100 Young Pioneer Award etc.
Diversity Equity & Inclusion Chair
Pablo Samuel Castro
Pablo was born and raised in Quito, Ecuador and obtained his PhD at McGill University. He has worked at Google since 2012, mostly focusing on fundamental Reinforcement Learning and Neuroscience research. Aside from his interest in coding/AI/math, Pablo is an active musician and loves running (7 marathons so far, including Boston!).
Pablo was born and raised in Quito, Ecuador and obtained his PhD at McGill University. He has worked at Google since 2012, mostly focusing on fundamental Reinforcement Learning and Neuroscience research. Aside from his interest in coding/AI/math, Pablo is an active musician and loves running (7 marathons so far, including Boston!).
EG
Diversity Equity & Inclusion Chair
Erin Grant
FL
Volunteer Chair
Francesca-Zhoufan Li
JY
Volunteer Chair
Jason Yang
Social Chair
Carlo D Eramo
Mentor Chair
Rosanne Liu
FS
Mentor Chair
Freda Shi
Blog Post Chair
David Dobre
Blog Post Chair
Nicholas Gao
JK
Blog Post Chair
Jonas Köhler
Blog Post Chair
Leo Schwinn
SX
Blog Post Chair
Sophie Xhonneux
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