Ming-Hsun Ho

Ming-Hsun Ho, Ph.D., has ten years of professional experience in computational drug discovery in pharmaceuticals. Before joining Circle Pharma, he was a Computational Chemist at GSK, supporting multiple drug discovery programs, mostly in CNS targets. While at GSK, Ming-Hsun built machine learning models to predict and mitigate hepatotoxicity liability. Before joining the GSK team, he worked for Shanghai Hengrui Pharmaceuticals, where he applied SBDD, including enhanced sampling MD, to study the ligand/protein interaction on oncology and hypertension targets. Ming-Hsun was a postdoctoral researcher at Pacific Northwest National Lab where he worked on theoretical analysis of reaction mechanisms to improve the efficiency of bio-inspired metallocatalyst. Ming-Hsun received his Ph.D. in Chemistry at University of Pennsylvania under the mentorship of Prof. Michael Klein.