I am a Fellow at the Openmind Research Institute, and an Adjunct Professor of Computing Science at the University of Alberta.

My goal is to develop and understand the computational foundations of artificial minds.

Much of my work focuses on how mental phenomena can be understood with computation and reinforcement learning. I value research that brings definition to important aspects of our lived experience, and theory that cashes out with empirical impact.

NEWS

January, 2025: New paper led by Fatima Davelouis: On the Interplay between Sparsity and Training in Deep Reinforcement Learning.
January, 2025: Co-organizing an RLDM workshop: Saving the Phenomena of Minds.
December, 2024: On a panel at the Openmind retreat in Singapore.
December, 2024: Started as a Research Fellow at Openmind.
October, 2024: Talk at the Openmind retreat in Banff, Alberta.
October, 2024: Seattle Minds and Machines Talk: The Methodological Tangle of AI Research.
August, 2024: UofA Teatime Talk: The Methodological Tangle of AI Research.
August, 2024: Attending RLC in Amherst, Massachusetts.
July, 2024: New paper on Meta-Gradient Search Control: [pdf].
June, 2024: Talk at Cohere for AI.
March, 2024: Co-organizing an RLC Workshop: Finding the Frame.
July, 2023: Attending ICML in Honolulu to present Settling the Reward Hypothesis.
May, 2023: Attending Upperbound in Edmonton, Canada.
April, 2023: Settling the Reward Hypothesis, accepted to ICML 2023 as an oral!
March, 2023: Two ICLR workshop papers, led by Rafael Rafailov: [pdf-1], [pdf-2].
February, 2023: In Barbados for the RL Workshop on Lifelong Learning.