Ke Liao

I have a strong interest in the theoretical and algorithmic development for solving strongly correlated quantum many-body systems, as well as in the application of these methods to study the electronic structure of molecules and materials. I have a Ph.D. in quantum chemistry from the Max Planck Institute for Solid State Research in Stuttgart, Germany, under the joint supervision of Prof. Ali Alavi and Prof. Andreas Grüneis. I worked as a part-time external science consultant for ByteDance in their pursuit of solving quantum chemical problems using machine learning. Furthermore, I did a postdoc at California Institute of Technology with Prof. Garnet Chan. During my past experience, I have contributed to codes such as VASP, PySCF and CC4S, as well as coded my own package PyMES. I constantly learn from colleagues or teach and explore by myself new theories and methods that significantly go beyond my past education.

See below for my featured publications. For the full list of publications, please see my Google Scholar.