Jonathan Zheng
Postdoctoral Researcher at Technische Universität Wien
Vienna, Austria
Summary
🤩
Rockstar🎓
Top SchoolJonathan Zheng is a computational chemist and data scientist with eight years of experience applying chemical kinetics, cheminformatics, and machine learning to research problems, now working as a postdoctoral researcher at TU Wien. He completed a PhD in Chemical Engineering at MIT after undergraduate research on catalyst synthesis at the University of Virginia, bringing strong experimental grounding alongside modeling expertise. Jonathan blends lab skills—synthesis, characterization, and catalyst development—with computational workflows and Python-driven data science to translate chemical insight into predictive models. Based in Vienna, he also channels his creativity into indie game development, launching a first title, LEGEND vs. LEGION, while maintaining an active research agenda. Notable early honors (Goldwater and Astronaut Scholar) and diverse internships, from ExxonMobil to photonics at UT Austin, reflect a pattern of tackling interdisciplinary, high-impact problems. This combination of hands-on chemistry, ML-savvy modeling, and creative software projects makes him particularly adept at bridging wet-lab experiments and computational discovery.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at Massachusetts Institute of TechnologyHigh School, Summa Cum Laude Scholar (Prince William County), High School, Summa Cum Laude Scholar (Prince William County) at Thomas Jefferson High School for Science and TechnologyBachelor’s Degree, Chemical Engineering, Bachelor’s Degree, Chemical Engineering at University of Virginia
Github Skills (38)
drug-discovery10
python10
kinetics10
machine-learning10
reaction10
chemistry10
thermodynamics10
message-passing10
mechanism10
simulator9
simulation9
molecule9
django9
neural-network9
database9
Programming languages (3)
Github contributions (5)
IUPAC/Dissociation-Constants
Sep 2022 - Oct 2022
This repository includes pKa data obtained from measurements in aqueous solutions, digitized and curated from reference books published by IUPAC.
Contributions:6 releases, 3 reviews, 5 commits in 1 month
iupacdata-sciencepkapublisheddigitized
jonwzheng/PEACE
Jul 2025 - Jul 2026
Contributions:49 pushes, 2 branches, 2 comments in 11 months
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