Elizaveta Semenova

Elizaveta Semenova

Lecturer in Biostatistics, Computational Epidemiology and Machine Learning

Imperial College London

My background is in Bayesian modelling of spatiotemporal disease surveillance and environmental data, including point pattern data analysis and detection of hotspots on gridded surfaces. Currently, I am interested in using deep generative modelling to power MCMC inference in classical spatial statistics, as well as adaptive survey design.

  • Spatial statistics
  • Gaussian Processes
  • Deep Generative Modelling
  • Bayesian survey design
  • Epidemiological applications
  • Bayesian workflow
  • PhD (summa cum laude) in Epidemiology, 2019

     Swiss Tropical and Public Health Institute (TPH), University of Basel, Switzerland

  • Diploma (first class honours) in Mathematics, 2008

    Moscow State University, Russia