Kellin Pelrine

• Program

  AI Safety Science

• Institution

  FAR.AI, Mila - Quebec Artificial Intelligence Institute

• Location

  USA

Kellin Pelrine is a research scientist at FAR.AI and a PhD candidate at McGill University and Mila AI Institute, supervised by Reihaneh Rabbany and Jean-François Godbout. Previously, he co-founded Stitch, Mutual, and Machine Learning Sports. He holds master’s degrees in economics from Yale University and applied mathematics from the University of Colorado at Boulder.

Pelrine leads teams of over 40 collaborators to create practical, impactful machine learning systems. His research prioritizes realistic data, rigorous experimentation, and deeper conceptual understanding, focusing on generative AI’s reliability and the vulnerabilities of advanced models. Pelrine’s work spans diverse areas, including AI safety, education, disinformation, political polarization, human trafficking, adversarial robustness, and temporal graphs.

FAR.AI will assess the risks of AI-driven deception and disinformation, develop mitigations, and provide a platform for future action towards solving them.