Machine Learning Scientist II (Computational Chemistry)
Chicago, Illinois, United States
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Summary
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Senior
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Top School
Aayush Gupta is a machine learning scientist and computational chemist with nine years of experience applying AI, molecular simulation, and full-stack engineering to accelerate drug discovery. He has built production-grade MD and end-state free energy pipelines (OpenMM/Amber), engineered a 300x high-throughput MD screening speedup, and contributed hybrid AI/quantum methods while bridging ML teams and medicinal chemists. His work has supported fundraising milestones and shipped open-source research (e.g., collaboration on physicsml at Exscientia), reflecting a rare blend of hands-on coding, cloud deployment, and physics-first modeling. Based in Chicago, he pairs a PhD in computational chemistry with startup incubation experience, routinely moving ideas from rapid prototyping and customer discovery to scalable research platforms. An often-overlooked strength is his track record of removing vendor dependencies by reimplementing critical prep and analysis modules, improving reproducibility and speed across teams.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Chemical Technology Chemical Technology, Bachelor of Chemical Technology Chemical Technology at Institute Of Chemical Technology
Doctor of Philosophy (PhD) Computational Chemistry, Doctor of Philosophy (PhD) Computational Chemistry at University of Illinois Chicago
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Aayush Gupta - Machine Learning Scientist II (Computational Chemistry)