Summary
Mingyi Xue is a Senior Scientist with a decade of experience at the intersection of cheminformatics, bioinformatics, and deep learning for drug discovery and protein design. Currently at Schrödinger, he brings practical expertise in fine-tuning protein language models (ESM2) with contrastive learning and uncertainty estimation, and in applying state-of-the-art structure predictors (ESMFold, Chai-1, Boltz-2) with OpenMM for high-quality structural refinement. His background blends a PhD in Chemistry and an MS in Computer Science from UW–Madison with hands-on R&D across academia and industry, including mentoring and leading junior scientists. He also builds reproducible teaching and tooling—maintaining an mlchem course repo with CI/CD for automated course website releases—highlighting his drive to make advanced methods accessible and production-ready.
9 years of coding experience
Exchange, Chemistry, Exchange, Chemistry at University of California, Davis
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at University of Wisconsin-Madison
Bsc, Chemistry, Bsc, Chemistry at Nanjing University
Hong Kong University of Science and Technology (HKUST)