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