hi there（〜^∇^ )〜
Currently looking for Summer 2025 research internships!!
I am a graduate student at Mila - Quebec AI Institute and the Université de Montréal, where I study Computer Science with a specialization in Artificial Intelligence. I have the fortune to be advised by Dr. Matthew Perich and Dr. Guillaume Lajoie. Check out their respective labs here and here!
I am primarily interested in deep generative models – especially their applications in medicine and science. I aim to use ideas from deep learning, multimodal learning, and dynamical systems theory to design generative frameworks that are faster and more sample-efficient — a crucial step in mitigating the widening resource disparity in an era of increasingly large models. My other research interests include neuroprosthetics, in-context learning, and compositionality/modularity.
In another life, I studied biomedical engineering at the University of Waterloo, during which I completed several internships in data science, computer vision research, and brain-computer interfaces.
| research interests | non-research interests |
|---|---|
| - deep generative models - AI for medicine/science - multimodal learning - dynamical systems - neuroprosthetics | - light-roast coffee - watching sports (NBA, soccer, F1, NFL) - bouldering - ginger tea - trivia |
news
- 2025-01-22: our paper "Expressivity of Neural Networks with Random Weights and Learned Biases" has been accepted to ICLR 2025!
- 2025-01-20: received the UNIQUE Excellence Scholarship at the master's level. Thank you to UNIQUE for this honour!
- 2025-01-20: served as a reviewer for CogSURF 2025
- 2024-12-28: new site!
- 2024-12-24: our submission, "Towards generalizable, real-time decoders for brain-computer interfaces" has been accepted to Cosyne 2025. See you in Montréal!
- 2024-12-11: our workshop proposal on foundation models for neuroscience has been accepted to Cosyne 2025 -- we hope to see you there!