Scholar
Carl Henrik Ek
Google Scholar ID: 9yQ1tQoAAAAJ
University of Cambridge
Citations & Impact
Citations
986
H-index
18
i10-index
28
Publications
20
Co-authors
68
list available
Publications
Resume (English only)
Academic Achievements
- Promoted to Professor of Statistical Learning, University of Cambridge (Oct 2024)
- Awarded the Pilkington Prize for Teaching Excellence (Mar 2024)
- Appointed Visiting Professor in Machine Learning at Karolinska Institute (Nov 2023)
- Awarded Docent in Machine Learning at KTH (Feb 2016)
- Teacher of the Year in Computer Science, University of Bristol (2016)
- Teacher of the Year, KTH Royal Institute of Technology (Nov 2015)
- Teacher of the Year from Student Chapter in Industrial Econ (Oct 2015)
- Gave TEDx talk titled 'Why I do not fear Artificial Intelligence' (Dec 2015)
Research Experience
- Professor of Statistical Learning, University of Cambridge (since Oct 2024)
- Senior Lecturer in Machine Learning, University of Cambridge (since Jun 2020)
- Previously Senior Lecturer at University of Bristol
- Former Assistant Professor in Machine Learning at KTH Royal Institute of Technology
- Postdoctoral researcher at UC Berkeley, working with Prof. Trevor Darrell and Prof. Raquel Urtasun
Background
- Professor of Statistical Learning at the Computer Laboratory, University of Cambridge
- Member of the ml@cl research group; Fellow and Director of Studies at Pembroke College
- Visiting Professor at Karolinska Institute, Stockholm
- Docent in Machine Learning at KTH Royal Institute of Technology, Stockholm
- Co-Director of the UKRI AI Centre for Doctoral Training in Decision Making for Complex Systems (a collaboration between University of Cambridge and University of Manchester)
- Involved with the Accelerate Program at the Computer Lab, Cambridge
- Research focuses on modeling and inference in machine learning, particularly on formulating data-efficient and interpretable assumptions for learning from small datasets
- Primary research area: Bayesian non-parametric methods, especially Gaussian processes
