Da-inn Lee
Research Assistant at University of Wisconsin-Madison
Madison, Wisconsin, United States
Summary
👤
Senior🎓
Top SchoolDa-inn Lee is a PhD candidate and research assistant in Biomedical Data Science at the University of Wisconsin–Madison with nine years of experience applying machine learning and algorithm development to genomic and healthcare data. She builds and implements computational methods to study 3D genome folding and brings prior experience in analytics and business intelligence from UW Health and software testing at Epic. Comfortable at the intersection of academia and applied healthcare, she translates complex biological questions into reproducible data workflows and scalable models. Da-inn holds an MS in Computer Science and a BS in Cellular and Molecular Biology, a combination that fuels her fluency across genomics, EHR systems, and production-ready analytics. Actively seeking roles that leverage her expertise in ML, genomics, and electronic health records, she is especially strong at turning messy clinical data into biologically meaningful insights.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Biomedical Data Science, Doctor of Philosophy - PhD, Biomedical Data Science at University of Wisconsin-MadisonBachelor of Science (BS), Cellular and Molecular Biology, 3.738, Bachelor of Science (BS), Cellular and Molecular Biology, 3.738 at University of Michigan
Korean
Github Skills (8)
gene-expression4
datasets2
bioinformatics2
pytorch1
notebook1
machine-learning1
deep-learning1
hierarchical1
Programming languages (2)
Github contributions (5)
Roy-lab/grinch
Sep 2019 - Nov 2022
Contributions:53 commits, 13 pushes, 2 branches in 3 years 1 month
dyneofdata/dyneofdata.github.io
Nov 2018 - May 2024
Contributions:13 pushes, 1 branch in 5 years 7 months
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