Shashank Sule
I am a Hendrick Mathematics Fellow at the University of California, Los Angeles (UCLA). I work on the mathematics of data science and its applications to the sciences and the regulation of artificial intelligence. I recently graduated with a PhD in applied math at the University of Maryland, College Park, where I was advised by Dr. Wojciech Czaja and Dr. Maria Cameron. Before that, I graduated from Amherst College with a degree in mathematics.
CV • GitHub • LinkedIn • Email (ssule25[at]umd[dot]edu)
Selected publications
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Learning collective variables that preserve transition ratesShashank Sule, Arnav Mehta, Maria Cameron.SIAM Multiscale Modeling and Simulation, 2025 arXiv / code / We turn Legoll and Lelievre’s quantitative coarse-graining theory into an algorithm for learning collective variables that preserve transition rates in molecular systems, with a case study on butane. |
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Sharp estimates for target measure diffusion maps and applications to the committor problemShashank Sule, Luke Evans, Maria Cameron.Applied and Computational Harmonic Analysis, 2025 arXiv / We leverage the approximation theory of target measure diffusion maps to obtain sharp error estimates with explicit prefactors, yielding concrete accuracy gains for rare-event quantification via the committor problem in molecular dynamics. |
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On the limits of neural network explainability via descramblingShashank Sule, Richard G. Spencer, Wojciech Czaja.Applied and Computational Harmonic Analysis, 2025 We study fundamental limits on explaining neural network decisions through descrambling methods, identifying when such approaches can and cannot recover meaningful structure from learned representations. |
Recent posts
[Preprint] Neural collapse in the orthoplex regime
posted on 25 Mar 2026
New preprint out! Neural collapse is a phenomenon in deep learning where features of a classifier converge to the vertices of a simplex as training progresses. We studied this phenomenon where the number of classes exceeds the dimension–so this emergent structure is no longer a simplex, but a spherical code.
More papers!
posted on 21 Feb 2026
They say journal acceptances are like buses1–for a long while you don’t see any, and then two come along at once. To be more specific, this week two of my papers were accepted to the journals NMR in Biomedicine (NMRB) and SIAM Multiscale Modeling and Simulation (SIAM MMS) respectively.
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