Summary
Marek Rei is an Associate Professor in Machine Learning at Imperial College London with 14 years of experience bridging cutting-edge research and real-world AI applications. His work focuses on planning and reasoning with large language models, explainability and uncertainty estimation, and information extraction—especially in medical and educational domains such as essay scoring and grammatical error detection. He combines a strong academic foundation from a Cambridge PhD with industry-facing roles as a consultant and advisor, helping translate generative-model advances into deployable solutions. As a visiting researcher at Cambridge and an associated investigator in generative-model hubs, Marek routinely blends theoretical rigor with practical evaluation on high-stakes tasks, a perspective shaped by early industry experience at SwiftKey. Notably, he steers interdisciplinary projects that quantify model uncertainty in clinical contexts, an often-overlooked but crucial component for safe AI deployment.
14 years of coding experience
15 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of Cambridge
BSc Informatics, BSc Informatics at TalTech – Tallinn University of Technology
Estonian, English