People
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The Qian Lab is committed to Berkeley Lab's core values of collaborate across boundaries, trust, innovate, and respect. We are grateful for the opportunity to interact with researchers from a multidisciplinary academic background, and love the "Eureka!" moment of discussions. We welcome collaboration, promote communication, and respect all voices. Most importantly, we welcome you to join our research family!
Principal Investigator
Dr. Jin Qian (Google Scholar)
Career-Track Staff Scientist (2021 - now)
Chemical Sciences Division | Lawrence Berkeley National Lab
Education
Ph.D. California Institute of Technology, 2014-2019
B.S. Rice University, 2010-2014
Contact
Short Bio
As a computational chemist working seamlessly with experimental groups, Jin is strongly devoted to bridge the gap between theory and experiment. Part of her vision is to build a “Digital Twin” (see Research), so that we could walk into future experiments with foresight versus hindsight. The other part of her research is to build the tools and apply them to simulate increasingly large and complex energy scenarios. She is a recipient of the prestigious DOE Early Career Award in 2023 (see Here).
In her free time, she loves exploring the beautiful bay area, hanging out with friends, and taking care of animals. She is also dedicated to classical music and piano performance (see My Interview & Music Interpretations), a dynamically-evolving, life-time hobby of hers.
Postdoc Scholars
Dr. Asmita Jana
Postdoc (2022-)
Education
Ph.D. Massachusetts Institute of Technology 2017-2022
B.S. Integrated B.Tech and M.Tech (Dual degree) Indian Institute of Technology Madras 2012-2017
Contact
Short Bio
Asmita uses computational chemistry tools for sustainable energy applications. Her areas of interest include interface dynamics, adsorption, and carbon capture. She uses Molecular Dynamics (MD) and Density Functional Theory (DFT) to model processes and obtain thermochemical and kinetic properties. In her free time, she likes reading fantasy fiction, watching anime, and practicing Indian classical dances.
Dr. Jiaao Wang
Postdoc (2026-)
Education
Ph.D. University of Texas at Austin 2021-2026
B.S. University of Jinan 2017-2021
Contact
Short Bio
Jiaao’s research focuses on chemical reaction kinetics and its applications in solid-state ionic conduction, thermal catalysis, surface chemistry, femtosecond aberration-corrected transmission electron microscopy simulations, and chemical reaction pathway sampling. Outside of research, Jiaao is an avid backcountry skier and a frequent overnight camper.
Dr. Andrew Grieder
Postdoc (2026-)
Education
Ph.D. University of Wisconsin - Madison, 2023-2026
M.S. San Francisco State University, 2018-2020
B.S. San Francisco State University, 2014-2017
Contact
Short Bio
Andrew studies how atomic and electronic structure govern carrier, spin, and orbital angular momentum dynamics and the optoelectronic properties of quantum materials. He develops large-scale first-principles methods to reach the system sizes and timescales relevant to experiment and beyond previous methods. In his free time, he enjoys hiking, skateboarding, and drawing.
Graduate Students
Zeyi Zhang
Graduate Student
Education
Ph.D. UC Berkeley, 2022-
B.S. Shanghai Jiao Tong University, 2018-2022
Contact
Short Bio
Zeyi is interested in theoretical and computational chemistry, especially in electronic structure theory development. He is co-advised by Jin Qian and Martin Head-Gordon and is now working on real-space KS-DFT and complex restricted open-shell Hartree-Fock (cROHF) developments.
Undergraduate Students
Patrick Kwon
Undergraduate Student/Machine Learning Researcher
Education
UC Berkeley 2023-
Contact
Short Bio
Patrick is a current Data Science, Cognitive Science & Computer Science major from Berkeley. He is working on real space KS-DFT through machine learning & GPU optimization. He is interested in full-stack development, software engineering & machine learning.
Tal Hadar
Education
UC Berkeley 2025-
Contact
Short Bio
Tal is a current chemistry student at the UC Berkeley College of Chemistry, currently interested in the digital twin for chemical sciences and spectroscopy. In their free time, Tal enjoys knitting, reading, and going on adventures with friends.
Alums
Ernest Hermosillo (Current: University of Washington Seattle)
Dr. Drew M. Glenna (Current: Lawrence Livermore National Lab)
Dr. Carlos Mora Perez (Current: Lam Research)
Dr. Hengyuan Shen (Current: Samsung Electronics, San Jose)
Siddarth Menon (Current: University of Cambridge)
Andrew E. Bogdan
Rahul Khorana (Current: Imperial College of London)
Will Heneghan (Current: UC Berkeley)
Katherine Zhou (Current: Apple Inc.)
Dr. Qiang Xu (Current: UC Riverside)
Dr. Soumyadeep Ghosh (Current: LBNL)
Dr. Zihao Chen (Current: Intel Corporation)
Ye Wang (Current: Brown University)
Rithvik Panchapakesan (Current: UC Berkeley)
The Qian Group won't be here without these brilliant people :-)
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