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Iā€™m a research data scientist at RTI, modeling communicable and noncommunicable disease, and graduate student in the Applied and Computational Mathematics program at Johns Hopkins. My research interests lie at the intersection of mathematics, computational methods, and biological systems.

Michael Duprey's Projects

cats-in-context icon cats-in-context

Exercise solutions for ch. 1-3 of Emily Riehl's Category Theory in Context

chimerax-docker icon chimerax-docker

Docker image for the molecular visualization program, UCSF ChimeraX

conftopo icon conftopo

Explore topological changes across protein conformational changes

deepab icon deepab

Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.

masif icon masif

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

protein-ebm icon protein-ebm

Energy-based models for atomic-resolution protein conformations

ripserer.jl icon ripserer.jl

Flexible and efficient persistent homology computation.

snf-algo icon snf-algo

An implementation of the Smith normal form algorithm for decomposition of finitely generated modules over a PID

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