Ke Liao
I am a Postdoctoral Research Associate at Yale University working with Prof. Tianyu Zhu. My research focuses on the theoretical and algorithmic development for solving strongly correlated quantum many-body systems, bridging the gap between electronic structure theory and realistic materials modelling via quantum embedding.
I specialize in high-accuracy methods including Coupled Cluster, DMRG, and Transcorrelation theory. My work emphasizes the development of efficient algorithms that enable precise simulations of complex molecules and materials at the thermodynamic limit.
I am the developer of PyMES and am currently leading the development of PyTC, a high-performance framework for transcorrelated methods optimized for GPU acceleration via the JAX machine learning framework. PyTC is being finalized and will be released as an open-source project in the near future.
I earned my Ph.D. in Quantum Chemistry from the Max Planck Institute for Solid State Research (Stuttgart, Germany) under the joint supervision of Prof. Ali Alavi and Prof. Andreas Grüneis. Previously, I was a postdoctoral researcher at the California Institute of Technology with Prof. Garnet Chan and served as an external science consultant for ByteDance, applying machine learning to quantum chemical challenges.