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Rahul G. Krishnan is an Assistant Professor in the Departments of Computer Science and Laboratory Medicine at the University of Toronto, holding the Canada CIFAR AI Chair at the Vector Institute and is a Tier II Canada Research Chair in Computational Medicine. His research primarily revolves around the advancement of fundamental machine learning techniques to enhance our understanding of the complex computations that govern natural phenomena. He is focused on developing neural network models capable of causal reasoning, aiming to address challenges in healthcare and biology through these technologies. Under his guidance, graduate students and postdoctoral fellows are conducting innovative research, contributing to a deeper understanding and creation of controllable artificial intelligence systems. Many of his former students have progressed into prestigious graduate programs or impactful roles in leading tech companies.
University of Toronto • Toronto, ON, Canada
Engaging in innovative research and teaching at the intersection of Computer Science and Medicine.
Department of Sociology