Mark Ruszczycky is a research engineering scientist with 11 years of experience applying mechanistic enzymology, organic chemistry, and quantitative analysis to high-impact academic projects. Holding an M.D./Ph.D. from Case Western Reserve, he chose bench and computational science over clinical practice and has authored papers in Nature, JACS, and PNAS while coauthoring multiple funded R01 and Welch grants. He combines experimental expertise—EPR, isotope effects, kinetic assays—with strong computational skills, writing bespoke data-analysis, simulation, and lab-administration software (notably GNU Octave tools for kinetics and EPR). At UT Austin he’s overseen project design and reporting, served as primary quantitative analyst, and developed novel kinetic measurement methods that reveal non-rate-limiting steps. He brings a mathematician’s rigor to biochemical problems, favoring pure functional programming approaches on his GitHub to make analyses reproducible and extensible. Based in Austin, he seeks team-centered R&D roles where experimental creativity and advanced data analysis intersect.
11 years of coding experience
4 years of employment as a software developer
Doctor of Medicine (M.D.), Doctor of Medicine (M.D.) at Case Western Reserve University School of Medicine
Master’s Degree, Chemistry, Master’s Degree, Chemistry at University of California, Riverside
Contributions:1 release, 136 commits, 40 pushes in 1 year 8 months
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