Yushi Bai
Postdoc Researcher at University of California, San Francisco
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolYushi Bai is a postdoctoral researcher based in San Francisco with seven years of experience bridging biochemistry, protein engineering, and biomaterials to unravel biomineralization mechanisms. At UCSF she led work revealing enamel matrix protein self-assembly into functional amyloid nanoribbons that template oriented apatite formation—work that yielded a PNAS cover paper and contributed to an NIH R01 grant. Her prior postdoc at Emory introduced systems-chemistry perspectives to dynamic peptide assemblies, producing high-impact reviews that helped shape an interdisciplinary field. Yushi combines top-down strategic thinking with hands-on protein chemistry and transgenic tissue models, and she values emotional stability and clear decision-making in managing complex, multi-step projects. An often-overlooked strength is her ability to translate fundamental protein–inorganic interaction insights into tangible design principles for enamel-like materials and pathological biomineralization interventions.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Chemistry, Bachelor's degree, Chemistry at Jilin University
English, Chinese
Github Skills (8)
longtext10
graph10
gnn10
glm9
graph-convolutional-networks9
benchmark9
deep-learning8
llm7
Programming languages (1)
Github contributions (5)
bys0318/SQUIRE
Jan 2022 - Oct 2022
Contributions:9 commits, 12 pushes, 1 branch in 9 months
THUDM/LongBench
Jul 2023 - Mar 2025
[ACL 2024] LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Contributions:7 PRs, 32 pushes, 114 comments in 1 year 7 months
benchmarkllmlong-contextlongtext
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