Hythem Sidky is an AI and data science leader with 11 years of experience building and scaling AI-powered solutions across healthcare, biomedical research, pharma, and government. Currently Director of Solutions Engineering at Verily, he has held senior data and AI leadership roles at Axle, AstraZeneca, and NCATS where he led national clinical cohort initiatives and delivered production-grade analytics for translational research. With a PhD in Chemical and Biomolecular Engineering and advanced training in applied and computational mathematics, he blends rigorous quantitative modeling and simulation experience—from molecular engineering and thermodynamic modeling to deep learning for free-energy landscapes—with pragmatic product delivery. Colleagues know him for translating complex biomedical problems into deployable data products that improve patient outcomes, and for building cross-disciplinary teams that bridge research and engineering. Based in Chicago, he brings a rare mix of academic depth, industrial R&D experience, and hands-on systems leadership that accelerates translational impact.
11 years of coding experience
8 years of employment as a software developer
UMBC
Doctor of Philosophy (Ph.D.) Chemical and Biomolecular Engineering, Doctor of Philosophy (Ph.D.) Chemical and Biomolecular Engineering at University of Notre Dame
Software Suite for Advanced General Ensemble Simulations
Contributions:5 releases, 402 commits, 1 PR in 2 years 10 months
gromacslammpsmiccomensemblesimulations
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