Mark Flynn is a software developer with 11 years of experience who bridges academic research and production engineering, currently building genomics workflow frameworks at Los Alamos National Laboratory. With a PhD in neurobiology and an MS in computer science, he specializes in modeling, simulation, and analysis of complex systems—from neural circuits and ant colonies to satellite- and weather-derived datasets. He has a track record of turning scientific algorithms into production pipelines and APIs, having implemented DataONE’s Python API, automated satellite-data processing systems, and AWS-backed data platforms. Comfortable across research and industry stacks, he combines statistical rigor and creative problem-solving to deliver robust, test-driven solutions for data-intensive science.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neurobiology and Neurosciences, Doctor of Philosophy (Ph.D.), Neurobiology and Neurosciences at University of Delaware
Master's degree, Computer Science, Master's degree, Computer Science at The University of New Mexico
Contributions:1 PR, 40 pushes, 3 branches in 2 years 4 months
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Mark Flynn - Software Developer 3 at University of New Mexico