Xinqiang Ding

Xinqiang Ding

62 Talbot Avenue
Research/Areas of Interest:

The Ding Group develops and uses computational approaches to solve problems in chemistry and biophysics. We currently focus on the following two areas.
1. Computational drug design. We aim to accelerate drug design by developing fast and accurate methods for computing protein-ligand binding free energy. To do that, we combine ideas and methods from molecular simulations, statistical mechanics and machine learning.
2. Force field development. We aim to develop a transferable and accurate coarse-grained force field for simulating large biophysical systems.

Education

  • Doctor of Philosophy, University of Michigan, USA, 2018
  • B.S. Pharmaceutical Science, Peking University, Beijing, China, 2012
  • B.S. Math and Applied Math, Peking University, Beijing, China, 2012