معرفی
Carl Henrik Ek is a Visiting Professor of Machine Learning at the Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet (KI), appointed as of November 1, 2023. He concurrently holds the position of Professor of Statistical Learning at the University of Cambridge, UK. His research focuses on applying machine learning to medical data to translate clinical insights into practical applications.
Education:
- Bachelor's degree in Vehicle Engineering from the Royal Institute of Technology (KTH), Stockholm
- PhD in Data Science from Oxford Brookes University, UK
Research Interests:
- Development of statistical models for medical applications
- Integration of machine learning with clinical research questions
- Analysis of large-scale healthcare datasets
Professional Background: Carl Henrik Ek has over 20 years of experience in machine learning, including a postdoctoral fellowship at UC Berkeley and roles as a Senior Lecturer at KTH Royal Institute of Technology and Bristol University. He leads a research group at the University of Cambridge focused on theoretical advancements in statistical modeling.
Affiliations:
- Center for Heart Failure and Arrhythmia – Gianluigi Savarese
- Department of Clinical Science and Education, Södersjukhuset
