Kellin Pelrine


Machine learning researcher.


Scholar - LinkedIn

Bio - CV - Publications - Collaboration

I’m a PhD candidate at McGill University and the Mila AI Institute, supervised by Reihaneh Rabbany. I’m also a member of the Centre for the Study of Democratic Citizenship, research advisor at FAR AI, and chief scientist at startup Mutual.

My research aims to create more practical machine learning systems. I particularly focus on the inputs and outputs, which are underexplored. On the input side, this means learning paradigms that can better leverage the full breadth of available data. On the output side, this means improving generalization and shrinking the gap between laboratory measurements and real world outcomes. The research I’ve done on these themes bridges multiple domains and applications, including work towards reliable generative AI, healthier social media ecosystems, less human trafficking, and more thoroughly evaluated machine learning systems.