Matt Raymond
My research is at the intersection of Machine Learning (ML) theory and Computational (Bio)Chemistry applications. Currently, I’m interested in developing generalized frameworks for ML in chemistry, which has applications in drug discovery, the prediction of macromolecular interactions, and exploration of biochemical reactions. Previous interests include multitask feature selection, surrogate modeling of plasma physics, detection of cross-feeding interactions in the human gut microbiome, the implicit bias of multiclass logistic regression, artificially-curious agents for space exploration, and the handling of catastrophic errors for real-time flight software.
I received my BSc in Computer Science (‘20, Magna Cum Laude) from Chapman University and my MSc in Computer Science and Engineering from the University of Michigan (‘22). I am current studying for my PhD in Electrical and Computer Engineering at the University of Michigan, specializing in Signal and Image Processing and Machine Learning. Ideally, I will be graduating sometime around Spring 2026.
News
Aug 15, 2023 | Zongyu Li and I are running the ECE SPEECS seminar for AY 2023! |
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Jun 6, 2023 | NeCLAS press release |
May 28, 2023 | NeCLAS (and my CGI rendering) made the cover of the May 2023 issue of Nature Computational Science! |
May 1, 2023 | Protein-nanoparticle interaction paper published in Nature Computational Science |
Feb 11, 2022 | Admitted to the SIPML PhD program at the University of Michigan for Fall 2022! |