Nanda H Krishna – PhD Candidate at Mila & UdeM
My research interests lie at the intersection of Computational Neuroscience and Deep Learning. Through my theoretical research, I aim to uncover how learning shapes neural computation. I also work on foundation models for generalisable and real-time decoding in brain-computer interfaces.
Dec 2024 | Finally updated this website! 😅 | |
Dec 2024 | Two abstracts accepted to COSYNE 2025 – one on generalisable and real-time BCI decoding and one on reinforcement learning for motor control. 🎉 | |
Dec 2024 | Our COSYNE 2025 Workshop on Foundation Models for Neuroscience was accepted! Stay tuned for more details. 🧠 |
I am a PhD Candidate supervised by Guillaume Lajoie at Mila – Quebec AI Institute and Université de Montréal. My research interests lie at the intersection of Computational Neuroscience and Deep Learning. I am specifically interested in developing a theoretical understanding of how learning shapes computation in brains and artificial neural networks. I also work on building foundation models for neuroscience, with the goal of improving decoding in brain-computer interfaces.
My current projects include modelling the effects of learning histories and curricula on compositional generalisation, mechanistically unifying reinforcement learning paradigms using local learning rules, and developing generalisable, real-time decoders for brain-computer interfaces using foundation models of neural activity.
Aside from research, I am passionate about teaching, open science and open source software. Currently, I am an active maintainer of the Homebrew package manager for macOS (and Linux). Here are some of my other interests: languages, cricket, tennis, comics (manga and manhwa), music (mostly Carnatic, Indian film, and Asian), theatre, and quizzing.
Feel free to reach out if you are interested in collaborating, discussing research, or even just chatting!
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