Heyrim Cho
Assistant Professor at Arizona State University
Tempe, Arizona, United States
Summary
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Senior🎓
Top SchoolHeyrim Cho is an applied mathematician and computational scientist with eight years of academic experience, now an Assistant Professor at Arizona State University focusing on uncertainty quantification, Bayesian inference, and multi-scale hybrid in-silico models for medical applications. She builds and analyzes models that capture non-Markovian stochasticity in biological systems, translating theoretical methods into practical tools for biomedical problems. Her trajectory includes a PhD from Brown, a Brin Postdoctoral Fellowship at University of Maryland, and faculty experience at UC Riverside, reflecting a strong blend of rigorous theory and applied modeling. Based in Tempe, she combines deep probabilistic expertise with hands-on computing—she genuinely loves implementing complex simulations and inference pipelines, often bridging scales from molecular to tissue-level phenomena.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Brown UniversityMaster's degree, Mathematics, Master's degree, Mathematics at Korea Advanced Institute of Science and TechnologyGithub contributions (5)
heyrim/Mathematical-modeling-with-single-cell-sequencing-data
Jul 2019 - Jul 2022
Contributions:35 commits, 34 pushes, 1 branch in 3 years 1 month
heyrim/heyrim.github.io
Aug 2019 - Dec 2023
Contributions:92 pushes, 2 branches in 4 years 4 months
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