Summary
David Selby is a senior researcher at the German Research Centre for Artificial Intelligence (DFKI) with 11 years’ experience at the intersection of statistics, machine learning and health data science. He holds a PhD in Statistics from the University of Warwick and has combined academic roles at Manchester, Kaiserslautern (RPTU), TCD and UCL with industry experience including a quantitative analytics internship at Google France. His work focuses on reproducible ML for healthcare and epidemiology, translating rigorous statistical methods into practical, auditable research pipelines. Beyond research, he founded and runs a high-traffic photography lighting site since 2010, demonstrating an unusual blend of technical scholarship and long-term digital product stewardship. He is based in Kaiserslautern and known for bridging theoretical rigor with reproducible, real-world health-data applications.
11 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Mathematics and Statistics, First Class, Bachelor’s Degree, Mathematics and Statistics, First Class at The University of Edinburgh
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of Warwick