Jianan Li
Graduate Research Assistant
City of Ithaca, New York, United States
Summary
👤
Senior🎓
Top SchoolJianan Li is a PhD physicist-turned-computer scientist and graduate research assistant at UC Berkeley with nine years of interdisciplinary research experience bridging machine learning and biology. Trained at Cornell with dual honors in Computer Science and Bioengineering, Jianan has built high-precision deep learning libraries, worked on hyperbolic embeddings and MCMC, and applied ML to protein engineering and model-guided design in genomics labs. Their projects span wet-lab experience—CRISPR-AID and mitochondrial RNA editing—to computational tool development, reflecting a rare fluency across experimental and algorithmic workflows. Currently a member of the Yun S. Song group in Berkeley EECS, Jianan focuses on scalable ML methods for biological inference while mentoring undergraduates as a former TA. Colleagues describe them as excited by the “unlimited possibilities” of ML in biology and comfortable moving between code, math, and the bench to translate ideas into reproducible research.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, BerkeleyBioengineering, Bioengineering at University of Illinois at Urbana-Champaign, College of EngineeringBachelor of Science - BS, CS (honors) and Bioengineering, Bachelor of Science - BS, CS (honors) and Bioengineering at Cornell University College of Engineering
Github Skills (4)
backend7
api6
rest-api6
golang4
Programming languages (1)
Github contributions (5)
jiananarthurli/insight_chrome_extension
Jun 2019 - Sep 2019
Contributions:19 commits, 18 pushes, 1 branch in 3 months
jiananarthurli/insight_api
Jun 2019 - Oct 2020
Backend of the API service for the Insight project
Contributions:46 commits, 3 PRs, 43 pushes in 1 year 4 months
golangapibackendrest-apiapi-service
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