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 am specilised in traditional electronic structure theories, including coupled cluster, DMRG, transcorrelation theory, etc; I am also exploring new interdisciplinary areas such as machine learning, quantum chemistry and materials science. 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 VASP, PySCF, as well as coded my own package PyMES. Currently, I am a postdoctoral research associate at Yale University with Prof. Tianyu Zhu.