Fang Liu
Assistant Professor at Stanford University
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolFang Liu is an assistant professor of chemistry in the San Francisco Bay Area with 11 years of research and teaching experience bridging experimental and theoretical physical chemistry. Trained at Peking University and holding a PhD from the University of Pennsylvania, Fang has deep expertise in laser, vacuum, and spectroscopic techniques alongside computational/theoretical methods. After a string of postdoctoral fellowships at Columbia and Penn, Fang now leads research at Stanford focused on analytical chemistry and process-relevant physical chemistry problems. Known for combining hands-on lab skills with modeling insight, Fang translates complex spectroscopic data into mechanistic understanding and scalable experimental workflows. Colleagues note an uncommon fluency across experiment, theory, and pedagogy that accelerates both discovery and student training.
11 years of coding experience
1 year of employment as a software developer
B.S, Chemistry, 3.7, B.S, Chemistry, 3.7 at Peking UniversityPhD, Physical Chemistry, 4.0, PhD, Physical Chemistry, 4.0 at University of Pennsylvania
Chinese, English
Github Skills (35)
molecule10
docking10
predict10
chemistry10
calculation10
molecular-simulation9
materials-informatics9
cheminformatics9
quantum-computing8
physics8
computational-chemistry8
quantum-chemistry8
toolbox8
python7
codata6
Programming languages (5)
Github contributions (5)
hjkgrp/MultirefPredict
Feb 2019 - Nov 2022
Automated workflow to predict multireference character of molecules in quantum chemistry calculation
Contributions:93 commits, 5 PRs, 83 pushes in 3 years 8 months
workflowmoleculeschemistryquantum-computingpredict
Liu-group/AutoSolvate
Nov 2020 - Nov 2022
Automated workflow for generating quantum chemistry calculation of explicitly solvated molecules
Contributions:2 releases, 27 reviews, 128 commits in 2 years
workflowmoleculeschemistryquantum-computingquantum-chemistry
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