Haiqing Z

Assistant Professor at The University of Texas Medical Branch

Beijing, United States
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Summary

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Senior
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Top School
Haiqing Z is an Assistant Professor at UTMB with a decade of experience at the intersection of AI, structural biology, and computational biophysics. Trained as a biophysicist (PhD, UMD) and with research stints at Columbia, Duke, and NCI, he builds machine learning and structure-based methods to predict protein–protein interactions and binding specificity at genome scale. His work blends multiscale molecular simulation, electrostatic energetics, and deep learning to connect mechanistic physical models with high-throughput interaction maps. He has a strong teaching record—designing undergraduate and outreach courses—and a history of translating simulation insights into experimentally relevant hypotheses about histone assembly and nucleosome dynamics. Based in Beijing with an international career, he brings both academic rigor and pragmatic tool-building to problems in structural systems biology. An underappreciated strength is his ability to fuse coarse-grained physics models with modern AI to reveal hidden sequence symmetries that drive folding and assembly.
code10 years of coding experience
job13 years of employment as a software developer
bookMaster’s Degree, Physics, Master’s Degree, Physics at Michigan Technological University
bookDoctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at University of Maryland

Programming languages (1)

C

Github contributions (5)

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zhaihaiqing/HDAS16_Embedded

Jun 2022 - Jul 2022

Contributions:21 commits, 17 pushes, 3 branches in 27 days
Contributions:13 pushes, 3 branches in 1 year 5 months
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