
I am a second-year PhD student in Computer Science at Harvard University. I am fortunate to be supervised by Ariel Procaccia and Milind Tambe in the EconCS group. My work is supported by an NSERC CGS-D and the Cooperative AI PhD Fellowship.
I am broadly interested in AI and collective decision making, with applications to AI for social good. For example, I am interested in how AI can elicit rich verbal preferences, aggregate them fairly, and support deliberation that simultaneously accounts for the normative and epistemic aspects of collective decision making. See my publications.
Previously, I completed an M.Math in Computer Science at the University of Waterloo where I had a wonderful time being supervised by Kate Larson and Edith Law. Before that, I completed my undergraduate degree at the University of Victoria in Computer Science and Psychology with a minor in Philosophy.
News
- May 2026: I will be at AAMAS 2026 in Cyprus presenting our paper Generating Fair Consensus Statements with Social Choice on Token-Level MDPs.
- August 2025: I will be at IJCAI 2025 in Montreal presenting our paper Reflective Verbal Reward Design for Pluralistic Alignment.
- December 2024: Awarded the Cooperative AI PhD Fellowship from the Cooperative AI Foundation.
- May 2024: I will be at AAMAS 2024 in Auckland, New Zealand presenting our paper Liquid Ensemble Selection for Continual Learning at the SCaLA workshop.
- April 2024: Our paper Liquid Ensemble Selection for Continual Learning (with Ben Armstrong and Kate Larson) was accepted to Canadian AI 2024.
- September 2023: Started MMath CS at UWaterloo, supervised by Kate Larson and Edith Law.
- April 2021: Awarded NSERC Undergraduate Student Research Award (USRA) Grant to do research with Dr. Charles Perin for the summer.