Nan Rosemary Ke is a research scientist at Deepmind, and her research interest is on building models that can generalize to changing tasks and environments by comprehending causality. Prior to joining Deepmind, she was a PhD student at Mila, advised by Yoshua Bengio and Chris Pal. She was also a Facebook fellowship recipient and was named a rising star in machine learning in 2020. Rosemary’s research interests combine insights from deep learning and causality; she has been working on building models that can comprehend causality sufficiently well to reason about the connections between causal variables and the effect of intervening on them. Her work has been published at major conferences (NeurIPS, ICML, ICLR).

Stefan Bauer is an assistant professor at KTH Stockholm and a CIFAR Azrieli Global Scholar. Using and developing tools of causality, deep learning and real robotic systems, his research focuses on the longstanding goal of artificial intelligence to design machines that can extrapolate experience across environments and tasks. He obtained his PhD in Computer Science from ETH Zurich and was awarded with the ETH medal for an outstanding doctoral thesis. Before that, he graduated with a BSc and MSc in Mathematics from ETH Zurich and a BSc in Economics and Finance from the University of London (LSE). During his studies, he held scholarships from the Swiss and German National Merit Foundation. In 2019, he won the best paper award at the International Conference of Machine Learning (ICML) and in 2020, he was the lead organizer of the real-robot-challenge.com, a robotics challenge in the cloud.