Summary
Mark Olenik is a postdoctoral researcher in mathematical biology with 12 years of experience applying dynamical systems theory, machine learning, and statistical modeling to biological problems, currently modeling wound healing in Drosophila at the Leibniz Institute on Aging. He holds a PhD in Mathematical Neuroscience from the University of Bristol and has bridged academia and industry as a senior data science consultant and deep learning engineer, bringing production-minded ML expertise to research questions. His work spans computational biology in aging and neuroprosthetics, combining rigorous theory with practical data analysis pipelines. Colleagues rely on him to translate complex biological dynamics into interpretable models and reproducible code that inform experiments.
12 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Cognitive Science, Bachelor’s Degree, Cognitive Science at Eberhard-Karls-Universität Tübingen
Doctor of Philosophy (Ph.D.), Mathematical Neuroscience, Doctor of Philosophy (Ph.D.), Mathematical Neuroscience at University of Bristol
English, Russian, German, French