I joined the Computational Neuroscience Research Group (CNRG) at the University of Waterloo in September 2024, and earned an MMath in Computer Science in August 2026. Prior to that, I earned a BSc in Computer Engineering at the University of Alberta in April 2024.
I am broadly interested in how humans reason effectively and efficiently. My masters thesis research primarily concerned the Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI), an extremely difficult—and largely unsaturated—benchmark that tests fluid rather than crystalline intelligence. In addition to my masters thesis, I published multiple papers on this topic, including one that won a paper award in the ARC Prize 2025 Competition.
Publications
Theses
- (2026) Abstract Reasoning with Vector Symbolic Algebras. Master's thesis, University of Waterloo. Abstract External link
Conference and Workshop Papers
- (2026) A Biologically Plausible Model of Mental Multiplication. In Proceedings of the Annual Meeting of the Cognitive Science Society, volume 48, 60–67. Abstract PDF External link
- (2026) Neurosymbolic Program Synthesis for the Abstraction and Reasoning Corpus using Vector Symbolic Algebras. In Proceedings of The 20th International Conference on Neurosymbolic Learning and Reasoning. To appear. Abstract
- (2025) A Biologically Plausible Model of Mental Multiplication. In Sixth International Conference on the Mathematics of Neuroscience and AI. Abstract Poster