Dr. Carl Ek

Biography

Carl Henrik Ek is a Professor of Statistical Learning at the University of Cambridge, where he directs the Computer Lab. Previously, he served as a Senior Lecturer at the University of Bristol and as an Assistant Professor at the Royal Institute of Technology (KTH) in Stockholm. Ek has a strong background in Machine Learning, with research focused on developing methods capable of learning from data, particularly through Bayesian non-parametric methods and Gaussian processes. He completed his PhD at Oxford Brookes University and has extensive postdoctoral experience, including work at the University of California at Berkeley. His academic journey included being a research assistant in the Machine Learning and Optimization group at the University of Manchester and a visitor in the Machine Learning group at the University of Sheffield. Ek has been recognized for his teaching excellence, receiving multiple Teacher of the Year awards at various institutions, including KTH and the University of Bristol. He is actively involved in doctoral training initiatives in collaboration with the University of Manchester and co-directs the UKRI AI Centre for Doctoral Training. Ek's research and collaborative efforts contribute significantly to the field of machine learning, particularly in contexts requiring efficient data interpretation and learning from limited datasets.

Research Interests

Experience

Awards