Martin Stoffel
Machine Learning Engineer at Danu Insights
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolMartin Stoffel is a Machine Learning Engineer and evolutionary geneticist with 11 years of experience bridging cutting-edge research and production AI. He has authored 24 publications (including Nature Communications and PNAS), built multiple open-source packages used in genetics and ecology, and delivered large-scale genomics pipelines—processing 6,000+ Thoroughbred genomes that led to a publication and patent. At The Alan Turing Institute he created AutoEmulate to dramatically speed physics simulations, and more recently has built production AI agents and researched ML safety for biosecurity. Based in Edinburgh, he mixes deep quantitative biology expertise with practical deployment skills (AWS, FastAPI, Claude) and a track record of turning academic ideas into scalable, reproducible software.
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 UniversityBachelor of Science - BSc Psychology, Bachelor of Science - BSc Psychology at University of Koblenz and Landau
Github Skills (47)
r-package10
prepare10
gaussian10
preprocessing9
modeling8
visuals8
feature-engineering8
mental-health7
uncertainty-quantification7
consent-management7
data-preprocessing7
python7
alan7
prediction7
machine-learning6
Programming languages (9)
Github contributions (5)
mastoffel/pinniped_bottlenecks
May 2016 - Aug 2021
Contributions:82 commits, 75 pushes, 1 branch in 5 years 4 months
mastoffel/pinniped_bottlenecks_CoalSimABC
Jun 2016 - Jul 2018
Contributions:52 commits, 42 pushes, 1 branch in 2 years
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