Frank Schlosser is a Senior Data Scientist based in Berlin with 10 years of experience applying physics-grade mathematical modeling and Python-first data engineering to real-world problems. Trained as a physicist (PhD summa cum laude) with a strong computer science streak, he blends complex systems research—published in journals like PNAS—with product-focused analytics at Spotify. He led the Covid-19 Mobility Project at the Robert Koch Institute, managing a team and turning large-scale mobile-phone, geospatial and public-health data into actionable insights for policymakers. Frank builds end-to-end ML systems too, exemplified by NovaAI, a conversational language-learning app using transformer models, and he refreshed his applied toolset at the intensive Data Science Retreat. Comfortable communicating to both scientific and non-technical audiences, he bridges rigorous simulation, causal time-series work, and production analytics to improve user-facing products. A not-so-obvious strength is his ability to translate high-dimensional research methods into pragmatic, maintainable code for stakeholders across academia, government and industry.
10 years of coding experience
6 years of employment as a software developer
Doktor (Ph.D.), Theoretical and Mathematical Physics, summa cum laude, Doktor (Ph.D.), Theoretical and Mathematical Physics, summa cum laude at Humboldt-Universität zu Berlin
Master of Science (M.Sc.), Physics (Biophysics), Master of Science (M.Sc.), Physics (Biophysics) at Technische Universität München
Bachelor of Science (B.Sc.), Physik, Bachelor of Science (B.Sc.), Physik at Universität Augsburg
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