Rahul G. Krishnan

Rahul G. Krishnan is an Assistant Professor in the Department of Computer Science at the University of Toronto. His research focuses on machine learning, computational medicine, and deep generative modeling, with applications in healthcare and biology. He is also affiliated with the Vector Institute and holds the Canada CIFAR AI Chair. Krishnan's work explores causal inference, probabilistic inference, and time series modeling to develop reliable artificial intelligence systems. He supervises graduate and postdoctoral researchers and has published extensively in top conferences and journals.

Rahul G. Krishnan is a researcher at the University of Toronto with expertise in Machine Learning, Artificial Intelligence, and their applications in Healthcare. His work focuses on developing probabilistic models and leveraging causal inference to address complex challenges in medical data analysis. Krishnan's research includes advancing deep learning techniques for tasks such as histopathology, electronic health records, and medical language models. He has contributed to the development of methods for structured inference networks, deep Kalman filters, and self-supervised vision transformers. His publications highlight the integration of machine learning with clinical domains to improve diagnostic accuracy and patient outcomes.