I am a PhD candidate in physics at Harvard, where I am fortunate to be advised by Cengiz Pehlevan. I did my undergraduate work in physics at Yale, where I worked with Damon Clark on visual motion detection and locomotor coordination in fruit flies.
My research interests lie in some neighborhood of the intersection between theoretical neuroscience, statistical physics, and machine learning. For more information about my work, see some of my recent publications, as well as my teaching experience and expository notes.
Starting in July 2024, I will be a Junior Fellow of the Harvard Society of Fellows.
News from the past year
[December 2023] I’m presenting three papers at NeurIPS 2023! Check out our work with Paul Masset on models for fast inference in the olfactory bulb, our work with Hamza Chaudhry and Dima Krotov on associative memory for long sequences, and our work on learning curves for models with many layers of structured features. Also check out Hamza’s talk at the AMHN workshop.
[September 2023] I had the pleasure of presenting our work on the geometry of distributed neural codes for fast inference and in deep networks at the Washington University in St. Louis Computational Neuroscience Next Generation (CNNG) Symposium.
[August 2023] I spoke about our work on deep linear Bayesian neural networks at the Statistical Physics and Machine Learning Back Together Again workshop in Cargèse. Slides from my talk have been posted on the workshop website.
[May 2023] I’ve uploaded the notes for the tutorial on the NNGP correspondence I gave on 11 November 2022 at the HHMI Janelia Junior Scientist Workshop on Theoretical Neuroscience.
[April 2023] Our note on how the replica method can be used to study the eigenvalues of Wishart product matrices was just published in SciPost Physics Core.