Marek Rei
Associate Professor In Machine Learning
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMarek 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.
15 years of coding experience
15 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of CambridgeBSc Informatics, BSc Informatics at TalTech – Tallinn University of Technology
Estonian, English
Github Skills (9)
sequence-labeling10
word2vec9
machine-learning8
neural-network8
natural-language-processing8
theano7
oauth5
python4
data-science3
Programming languages (5)
Github contributions (5)
marekrei/ml_nlp_paper_data
Feb 2020 - Aug 2022
Dataset of ML and NLP papers
Contributions:5 commits, 4 pushes, 1 branch in 2 years 6 months
machine-learningnatural-language-processing
marekrei/sequence-labeler
Dec 2016 - Nov 2018
Neural network sequence labeling model
Contributions:30 commits, 2 PRs, 26 pushes in 1 year 10 months
neural-networksequence-labeling
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