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 the foundations for a science of artificial minds.

Much of my work focuses on how the phenomena of mind 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

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.