Summary
Martin Stoffel is an independent researcher and AI engineer based in Edinburgh, blending machine learning with biology and societal implications. He has 24 peer-reviewed publications, including Nature Communications and PNAS, with well-documented code pipelines, and has authored multiple open-source packages in ML, statistics, and genomics. Previously a Research Data Scientist at The Alan Turing Institute and a Postdoctoral Fellow at the University of Edinburgh, he earned a PhD in Evolutionary Genetics and Biostatistics from Bielefeld University. He is currently operating as an Independent Researcher/AI Engineer (Selbstständig) since 2025, applying rigorous research to real-world AI challenges. A prolific open-source contributor, his work spans Python and R packages (in statistics, genomics, and chemical ecology) and he has built tools such as rptR, inbreedR, and GCalignR. Based in the UK, he combines cross-disciplinary expertise to translate ML research into practical pipelines that illuminate biological and social systems.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MSc, Behaviour: From Neural Mechanisms to Evolution, Master of Science - MSc, Behaviour: From Neural Mechanisms to Evolution at Bielefeld University
Bachelor of Science - BSc, Psychology, Bachelor of Science - BSc, Psychology at University of Koblenz and Landau