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A seminar in which students will read, present, and discuss research papers on recent and advanced topics in computational biology, specifically related to machine learning models fit to biological sequence data (proteins and DNA). This semester, the seminar will primarily cover the following topics: foundation models of DNA and protein sequences (including transformer-based models), predicting the effects of biological mutations, predicting the structure of proteins (including AlphaFold), and supervised vs. unsupervised learning on sequences.

This seminar covers research spanning programming languages, software engineering, security and systems.