Qi Wang
PhD Candidate
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolQi Wang is a computational chemist and PhD candidate in Computational Biophysics with nine years of experience applying CADD and AIDD to small-molecule drug discovery. Having worked across industry roles at Galixir, 深度智耀 DIP, and Procter & Gamble, Qi bridges rigorous academic modeling with practical medicinal chemistry needs. Skilled in structure-based and AI-driven ligand design, they translate biophysical insights into actionable hit-to-lead strategies. Based in Haidian District, Beijing, Qi combines cross-cultural research experience from Shandong University and the University of Cincinnati to solve complex drug design problems. A quietly analytical collaborator, Qi often surfaces non-obvious binding hypotheses by integrating physics-based simulation with data-driven prediction.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) Computational Biophysics, Doctor of Philosophy (PhD) Computational Biophysics at University of CincinnatiBachelor of Science - BS Biology/Biological Sciences General, Bachelor of Science - BS Biology/Biological Sciences General at Shandong University
Github Skills (15)
convolutional-neural-networks5
simulation5
simulations5
docking4
cheminformatics4
python4
computational-chemistry3
bioinformatics3
drug-discovery3
monte-carlo3
biophysics2
deep-learning2
cuda2
chemistry2
gpu1
Programming languages (3)
Github contributions (5)
wquc/ez-cmap
Aug 2018 - May 2019
Contributions:27 commits, 23 pushes, 1 branch in 9 months
wquc/configs
Oct 2019 - May 2023
Contributions:72 pushes, 1 branch in 3 years 7 months
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