About
I am a graduate researcher at Mila, where I completed my master’s in Computer Science with Guillaume Lajoie and Dhanya Sridhar.
I’m broadly interested in open-ended learning, particularly how systems can build on what they already know, reusing and composing prior knowledge to acquire new skills. Drawing insights from algorithmic information theory and cognitive science, my recent contributions have focused on formalizing compositional structure and using it to guide adaptive curricula.
Outside of research, I enjoy chess, climbing, snowboarding, and football.
News
- New preprint, Defining and Generating Compositional Structure, is out on arXiv.
- Presented In-context Learning and Occam’s Razor at ICML 2025 in Vancouver.
- Presented Evaluating Interventional Reasoning Capability of Large Language Models as a poster at the CALM Workshop, NeurIPS 2024.
- New preprint, In-context Learning and Occam’s Razor, is out on arXiv.
- Joined Mila as a Research Intern.
Selected Publications
For a full and up-to-date list, see my Google Scholar.
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2026
Defining and Generating Compositional Structure
arXiv preprint
- 2025
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2024
Evaluating Interventional Reasoning Capability of Large Language Models
CALM Workshop poster at NeurIPS
Experience
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Graduate Researcher Sept 2024 - PresentMila Quebec AI Institute · Montreal, Canada
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Research Intern July 2023 - Aug 2024Mila Quebec AI Institute · Montreal, Canada
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Machine Learning Engineer Intern May 2023 - Nov 2023Intellisports Inc. · Montreal, Canada
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Software Engineer June 2018 - Jan 2020MiQ · Bengaluru, India
Education
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M.Sc - Computer Science 2022 - 2026Mila - Quebec AI Institute (Université de Montréal)
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B.Sc - Computer Science and Engineering 2014 - 2018PES University