Chris Bizon is a Director of Analytics and Data Science with a Ph.D. in Physics and over a decade of experience translating computational science into practical data-driven solutions across drug discovery, genomics, healthcare decision support, and computational journalism. Trained as a computational physicist, he blends high-performance computing and numerical methods with software engineering proficiency (C/C++, Java, Python) to build scalable analytics and statistical models for complex screening and sequencing data. He progressed from molecular dynamics and atmospheric turbulence simulations to leading cheminformatics efforts at GSK and now directs analytics strategy and methods development at RENCI. Known for applying evolutionary algorithms, decision-tree and nearest-neighbor techniques in high-throughput settings, he bridges research and product teams to turn experimental data into actionable insight. A continual learner, he pairs academic rigor with Agile development practices and a history of collaborating closely with experimentalists and domain experts.
11 years of coding experience
10 years of employment as a software developer
Ph.D., Physics, Ph.D., Physics at The University of Texas at Austin
B.S., Physics, B.S., Physics at University of North Carolina at Chapel Hill
Contributions:2 PRs, 305 pushes, 16 branches in 2 years
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Chris Bizon - Director Of Analytics And Data Science