People
The Qian Lab celebrates diversity, and is committed to fostering an Inclusive, Diverse, Equal, and Accountable scholarly environment (IDEA). We are grateful for the opportunity to interact with researchers from a diverse background, and love the "Eureka!" moment of discussions. We welcome collaboration, promote communication, and respect voices from different perspectives; and more importantly, we welcome you to join our research family!
Principal Investigator
Dr. Jin Qian (Google Scholar)
Career-Track Staff Scientist
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 renewable 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), a dynamically-evolving, life-time hobby of hers.
Postdoc Scholars
Dr. Qiang Xu (Google Scholar)
Postdoc (2021-)
Education
Ph.D. Jilin University, 2015-2020
B.S. Jilin University, 2011-2015
Contact
Short Bio
Qiang is our friendly physicist in the group. His research focuses on the derivation, development, and implementation of efficient computational methods for condensed matter physics. He is one of the main developers of the ATLAS and ARES packages for mesoscale simulations at the DFT level.
In his spare time, he likes playing Tai-Chi and basketball.
Dr. Asmita Jana (Google Scholar)
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 and density functional theory 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.
Graduate Students
Drew M. Glenna
Graduate Student
Education
Ph.D. University of Idaho, 2021-
M.S. University of Idaho, 2021-
B.S. University of Minnesota, 2016-2020
Contact
Short Bio
Drew is driven by tackling renewable energy and climate change related challenges. He is an upcoming PhD candidate from University of Idaho. He is affiliated with the group through ongoing research projects on computational investigations of carbon capture. In his free time, he loves hiking and mountain biking with friends. He also loves to meditate, read, and play guitar.
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 and Martin and is now working on electrodynamics and complex restricted open-shell Hartree-Fock (cROHF) developments.
Undergraduate Students
Siddarth Menon
Undergraduate
Education
UC Berkeley, 2020-
Contact
Short Bio
Sid is a rising third-year student at UC Berkeley and he's studying Math and Computer Science. Right now he's working on using Gaussian processing to approximate reaction constants for chemical reaction networks. In his spare time, Sid like reading math, hiking, and computer games.
Andrew E. Bogdan
Undergraduate
Education
UC Berkeley, 2019-
Contact
Short Bio
Andrew is a rising senior at UC Berkeley studying Electrical Engineering/Computer Science and Math. While his education is in formal science, his interests are much wider, and he is always searching for a chance to learn something new. Andrew is presently exploring different avenues of ab-initio simulations of experimental observables. He is also interested in scaling up the calculation throughput by leveraging efficient workflows and databases.
Katherine Zhou
Undergraduate
Education
UC Berkeley, 2019-
Contact
Short Bio
Katherine is a rising senior at UC Berkeley studying computer science. She is working on the inverse problem of mapping reaction enthalpy state to chemical features with computer vision, and machine learning approach. She likes building Legos, reading novels, and playing video games during her free time.
Alums
Dr. Soumyadeep Ghosh (Current: LBNL)
Dr. Zihao Chen (Current: Intel Corporation)
Ye Wang (Current: Brown University)
Rithvik Panchapakesan (Current: UC Berkeley)
Rahul Khorana (Current: UC Berkeley)
The Qian Group won't be here without these brilliant people :-)