Elizaveta Semenova

Elizaveta Semenova

Postdoctoral Research Associate

University of Oxford


I am a Postdoctoral researcher at the University of Oxford in the Department of Computer Science working on scalable and flexible methods for spatiotemporal statistics and Bayesian machine learning with applications in epidemiology. I work with Seth Flaxman, as well as the wider Machine Learning & Global Health Network. Currently, my focus is on using deep generative modelling to power MCMC inference in classical spatial statistics, as well as adaptive survey design.

Previously, I was at Imperial College London, Department of Mathematics, Statistics section (2021-2022) and did a postdoc in Bayesian Machine Learning at AstraZeneca R&D (2019-2021) where I also collaborated with Prioris.ai. My research at AstraZeneca was dedicated to toxicity prediction and concentration-response curve fitting of large molecules.

In 2019 I completed a PhD in Epidemiology at the Swiss TPH, where I worked on modelling of point patterns using Log-Gaussian Cox Process and detection of hotspots on gridded surfaces.

I am also passionate about community building, diversity and inclusion. I have initiated and participated in a number of outreach activities, creating equitable access and opportunities in education, research and technology.

Download my resumé.

For more about my work, see the list of my recent publications and talks.

  • Spatiotemporal statistics
  • Gaussian processes
  • Deep generative models
  • Bayesian survey design
  • Epidemiological applications
  • 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