Samir Bhatt

Samir Bhatt

Professor of Machine Learning, Statistics and Public Health

University of Copenhagen

Imperial College London

Dr. Samir Bhatt is a Professor at the University of Copenhagen and Imperial College London, where his research team works at the interface of mathematics, biology and computer science. While undertaking a MPhil at the University of Cambridge and a DPhil at the University of Oxford, he developed methods to estimate the rate of molecular adaptation in viruses, and conducted the first study investigating the origins of the 2009 Swine Flu pandemic. Subsequent research explored spatial epidemiology, including the first study to quantify the global distribution and burden of Dengue disease and a study measuring the effect of interventions (such as bednets) on malaria prevalence and incidence across Sub-Saharan Africa. At Imperial College London, Dr. Bhatt expanded his research to include studying housing quality in sub-Saharan Africa, developing network infection models for malaria, mapping travel accessibility, large scale geostatistical methods, and outbreak methodology. Recently, Dr. Bhatt has been involved in research and advising on the COVID-19 pandemic. His group now focuses on mathematical, statistical and computer science tools to answer questions on human health and biology in general.

Interests
  • Health data science
  • Machine learning and Deeplearning
  • Infectious disease modelling
  • Malaria
  • Gaussian processes
  • Branching processes and stochastic processes
  • Phylogenetics
  • Health care trajectories
Education
  • DPhil in Statistical Genetics, 2010

    University of Oxford

  • MPhil1 in Computational Biology, 2006

    University of Cambridge

  • BEng in Chemical and Bioprocess Engineering, 2005

    University of Bath

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