Si-Han Chen is the Head of Computational Chemistry at VantAI. Si-Han received their PhD in Chemistry from the University of California, Riverside, where they were a Postdoctoral Researcher from September 2018 to January 2020. Their research focuses on applying machine learning algorithms to chemistry and biology, with a focus on protein folding, drug design, and enzyme dynamics.
Si-Han Chen received a Bachelor's Degree in Chemistry from National Tsing Hua University. Si-Han then went on to get their Master's Degree in Analytical Chemistry from the same school. Afterwards, they pursued their Doctor of Philosophy (Ph.D.) in Physical Chemistry from The Ohio State University. Lastly, they received certification from the executive branch of the central government of Taiwan in National Technician Exam of Class B Skill in Chemistry.
Some of their coworkers include Luca Naef - Chief Technology Officer, Daniel Kovtun - Head of DevOps, and Yusuf Adeshina - Computational Biologist. A direct report to Si-Han Chen is and Steven Ramsey - Computational Chemist. Si-Han Chen reports to Zachary Carpenter, CEO.
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VantAI
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VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for targets of interest, repurposes existing molecules at any stage of development, uncovers accurate ADME and toxicological insights, and predicts adverse events likely to influence trial success from deep analysis of systems-based pharmacogenomics. VantAI's in silico platform specializes in modelling complex protein-protein interactions, powering the discovery of biologics and protein degraders in addition to small-molecule drugs. It has helped leading biopharma partners launch new development programs--or revitalize old ones--at a fraction of the time and cost of traditional methods.