Contact

• Email: guoqingz@usc.edu   guoqingz@nvidia.com
• Linkedin: https://www.linkedin.com/in/gqzhou/

Education

2015.08 - 2020.12  University of Southern California

• Physics, Doctor of Philosophy
• Computer Science, Master’s

2011.09 - 2015.06   University of Science and Technology of China

• Applied Physics, Bachelor’s

Research Interests

• Computational Physics/Chemistry
  • Classical Molecular Dynamics
  • Non-Adiabatic Molecular Dynamics
  • Density Functional Theory
  • Semiempirical Quantum Chemistry
• Machine Learning
  • Physics Inspired Machine Learning
  • Machine Learning Interaction Potential
  • Graph Convolutional Neural Network
  • Equivariant Neural Network
• Drug Discovery
  • Free Energy Calculation
  • Virtual Screening

Research Experience

• 2021.01 - 2022.02   Physics and Chemistry of Materials, Los Alamos National Laboratory
  • Mentor: Benjamin Nebgen, Sergei Tretiak
• 2018.08 - 2020.12   Prezhdo Group, University of Southern California
  • Advisor: Oleg Prezhdo
• 2016.05 - 2018.08   CACS, University of Southern California
  • Advisor: Rajiv Kalia

Publications google scholar

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