Max Heikenfeld is a Data Scientist at Deutsche Bahn with nine years of experience applying physics-rooted research to mobility and transport analytics. Trained as a physicist (BSc, MSc) and DPhil researcher in atmospheric sciences at the University of Oxford, he translated deep expertise in cloud–aerosol interactions and numerical modelling into practical data-driven solutions for sustainable transport. His background spans collaborative international modelling projects and field expeditions—experience that gives him a rare combination of hands-on experimental work, large-scale simulation know-how, and applied machine-learning/data-analysis skills. At DB Analytics he leverages this interdisciplinary toolkit to improve mobility systems with environmental and operational impacts in mind. Notably, his trajectory from permafrost fieldwork and model development to storm microphysics studies reveals a consistent focus on bridging complex physical processes and actionable modelling for real-world systems.
10 years of coding experience
8 years of employment as a software developer
DPhil in Physics, Atmospheric Sciences and Meteorology, DPhil in Physics, Atmospheric Sciences and Meteorology at University of Oxford
B.Sc. in Physics, Physics, B.Sc. in Physics, Physics at TU Dortmund University
M.Sc. in Physics, Physics, M.Sc. in Physics, Physics at Heidelberg University
Contributions:6 releases, 6 PRs, 42 pushes in 2 years 7 months
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