Daniel Tarlow
Google Brain, Canada

Daniel Tarlow is a research scientist at Google Brain in Montreal and an adjunct professor at McGill University. He completed his Ph.D. at the University of Toronto in 2013 on modeling domains with complex structures. Daniel has worked on Neurosymbolic Programming methods such as DeepCoder and TerpreT, and Structured Prediction.

Judith Fan
UCSD, USA

Judy Fan is currently Assistant Professor of Psychology at the University of California, San Diego and incoming Assistant Professor of Psychology at Stanford University in July 2023. Research in her lab aims to reverse engineer the human cognitive toolkit, especially how people use physical representations of thought to learn, communicate, and solve problems. Towards this end, her lab employs converging approaches from cognitive science, computational neuroscience, and artificial intelligence. She received her PhD in Psychology from Princeton University and her AB in Neurobiology and Statistics from Harvard College.

Guy Van den Broeck
UCLA, USA

Guy Van den Broeck is an Associate Professor and Samueli Fellow at UCLA, in the Computer Science Department, where he directs the StarAI lab. His research interests are in Machine Learning, Knowledge Representation and Reasoning, and Artificial Intelligence in general. His papers have been recognized with awards from key conferences such as AAAI, UAI, KR, OOPSLA, and ILP. Guy is the recipient of an NSF CAREER award, a Sloan Fellowship, and the IJCAI-19 Computers and Thought Award.

Mathias Niepert
University of Stuttgart, Germany

Mathias is a professor at the University of Stuttgart and a faculty member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS). He heads the Machine Learning and Simulation Lab. His professorship is part of the Cluster of Excellence for the Simulation Sciences (SimTech), the Department of Computer Science, and the ELLIS Society. He is also a Chief Scientific Advisor at NEC Laboratories Europe. At NEC Labs Europe he was senior (2015-2017) and chief research scientist (2017-2021) as well as manager (2019-2021) of the machine learning group. From 2013-2015 he was a postdoctoral research associate at the Allen School of Computer Science, University of Washington, Seattle. Mathias obtained his Ph.D. from Indiana University. His group’s research interests include representation learning for discrete structures and algorithms, geometric deep learning, probabilistic graphical models, and the intersection of ML and the sciences.

Tuan Anh Le
Google Research, USA

Tuan Anh Le is a research scientist at Google. He works on Probabilistic Programming and Generative modeling. Tuan Anh adapted the wake-sleep algorithm to generate computer programs. He was a postdoctoral associate at MIT, working with Josh Tenenbaum. Before that, he obtained his Ph.D. in 2019 at the University of Oxford, where he studied amortized inference for probabilistic programming.