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Samir Bhatt is a Professor of Health Data Science at the University of Copenhagen and also holds a professorship in Statistics and Public Health at Imperial College London. His research focuses on the application of mathematical and statistical tools alongside computer science techniques to address questions pertinent to human health. His primary fields of research encompass Statistics, Machine Learning, Public Health, Infectious Diseases, Bayesian Inference, and Kernels. Bhatt's work is recognized for its contribution to understanding and resolving complex health-related questions through innovative statistical methodologies and collaborations across various interdisciplinary projects.
University of Copenhagen • Copenhagen, DK
Leading research in Health Data Science and collaboration on public health initiatives.
Imperial College London • London, UK
Involvement in statistical public health research and education.
Focuses on clinical, social, and cognitive psychology.