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Advisor: Rebecca Willett
I am working towards a Ph.D. in Computer Science with a focus on machine learning and A.I. in science. I’m particularly interested in questions regarding representations of molecules for machine learning tasks and their relation to notions of model equivariance and conformational variability. I am also studying novel methods for combining different datasets, especially those that were experimentally generated with those that were generated through simulation.
I graduated from Harvey Mudd College in 2020 with a B.A. in Computer Science and Mathematics and an M.S. in Computer Science at University of Chicago in 2023.
