Invited Talks
- August 2025 — What do we need for reliable decision making in healthcare?, Helmholz Munich
- August 2025 — Reliable decision making in medicine, Tutorial at MLxHealth Summer School, Oxford
- August 2025 — Deep Learning and Causality, Keynote at Causal Inference Workshop, Ludwig Maxmilian University, Munich
- July 2025 — Reliable Decision Making in Medicine, University College London
- May 2025 — Deep learning and causal inference - Bridging the gap, Statistics Society of Canada Annual Meeting
- April 2025 — Towards Neural Networks that Reason Causally, AutoDesk Research
- April 2025 — From Associational to Causal Reasoning, Google Deepmind
- March 2025 — From associational to causal predictions with deep learning, ETH Zurich, Zurich, Switzerland
- February 2025 — From associational to causal predictions with deep learning, Schwarz Reisman Institute, Toronto
- November 2024 — AI Agents in Healthcare, Association for AI in Medicine (Virtual)
- July 2024 — Deep Learning and Causality: Bridging the Gap, UCLA Computational Medicine Summer School, Los Angeles
- July 2024 — The case for causality in medicine, Oxford MLxHealth Summer School, Oxford, UK
- June 2024 — Causality, CIFAR Summer School, Toronto
- May 2024 — Causality and Deep Generative Models, University of Calgary, Calgary
- April 2024 — Causality and Deep Generative Models, American Causal Inference Conference, Seattle
- March 2024 — ML and healthcare: models, algorithms and applications, Institute of Public Health, Toronto
- February 2024 — Modeling functional (In)dependence with Neural Networks, SIAM Uncertainty Quantification, Trieste, Italy
- February 2024 — Guardrails for detecting model failures in medicine, Kaiser Permanente Medical Center
- December 2023 — ML in healthcare, LG AI Discovery Forum
- November 2023 — Deep learning for waitlist prioritization, UHN Transplant Symposium
- October 2023 — ML in Healthcare: Models, Algorithms, and Applications, Krembil Computational Neuroscience Symposium
- June 2023 — Trustworthy ML in Healthcare, MILA (Virtual)
- May 2023 — Technion (Israel) Machine Learning Meeting
- March 2023 — Auditing predictive models in healthcare, Vector–RIKEN Workshop
Media
- Interview by Toronto Life
- Interview by CTV News [1][2]
- Quoted by CBC Front Page
- Interview by CBC The Current podcast
Contact
Rahul G. Krishnan
Department of Computer Science
Department of Laboratory Medicine and Pathobiology
University of Toronto
Office:
Toronto, Ontario
M5S 3G4
Canada
Email: ‘rahulgk‘ @ ‘cs.toronto.edu‘