Michael Mysinger
Principal Scientist at Atomwise
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMichael Mysinger is a Principal Scientist who blends machine learning, chemistry, and drug discovery, based in the San Francisco Bay Area with about a decade of experience. At Atomwise since 2016, he builds quantitative binding affinity models and rigorously audits data and predictions to root out bias and continually improve methods and metrics. Previously at SeaChange Pharmaceuticals, he led SEAware, a prediction engine for drug mechanism and toxicity, and helped design and launch the company's chemoinformatics storefront. His background spans a PhD from UCSF and earlier roles at Arqule and ConfometRx, with deep expertise in docking, QSAR, liver metabolism modeling, and rapid evaluation of predictive performance. Based in the SF Bay Area, he enjoys solving hard computational problems, mentoring teams, and turning complex requirements into robust, production-grade models.
11 years of coding experience
9 years of employment as a software developer
Johns Hopkins UniversityPh.D., Drug Development Sciences, Ph.D., Drug Development Sciences at University of California, San FranciscoM.S., Computer Science, M.S., Computer Science at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
forge10
conda9
conda-forge7
smithy6
morph4
paradox3
issue-tracking3
bioinformatics2
python1
anaconda1
Programming languages (4)
Github contributions (5)
mmysinger/labware
Apr 2015 - Sep 2015
Contributions:37 commits, 24 pushes, 1 branch in 5 months
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