Summary
Jake Robertson is an AI scientist and PhD candidate with eight years of research and engineering experience focused on the legal, ethical, and philosophical intersections of AI and society. Located in Freiburg and affiliated with ELLIS Institute Tübingen and the University of Freiburg under Dr. Frank Hutter, he works on causal perspectives in machine learning, fairness, and prior-fitted networks (PFNs). His work has been published at ICML and AIES, and his master's projects produced FairPFN and fairness-aware MOHPO tools while contributing to NASLib for reproducible neural architecture search. Currently at Prior Labs as an AI Scientist and research intern, he bridges rigorous academic research with applied industry problems. Jake combines a strong academic pedigree (Queen’s, Helsinki, Freiburg) with practical software engineering experience from internships at BNY Mellon and open-source development. He’s notable for integrating causal inference into socio-technical ML solutions—bringing philosophical scrutiny to concrete model and systems design.
8 years of coding experience
5 years of employment as a software developer
Master of Science (MSc) Computer Science Specialization in Artificial Intelligence, Master of Science (MSc) Computer Science Specialization in Artificial Intelligence at The University of Freiburg
Academic Exchange Department of Computer Science, Academic Exchange Department of Computer Science at University of Helsinki
Bachelor of Computing (BCPH) Computer Science, Bachelor of Computing (BCPH) Computer Science at Queen's University
German