DrElizaveta Semenova

Assistant Professor in Biostatistics, Comp\. Epi\. and ML

School of Public Health - Faculty of Medicine

RESEARCH

  • Bayesian statistics and probabilistic machine learning
    including Bayesian inference, hierarchical models, simulation-based inference and uncertainty quantification.

  • Spatiotemporal modelling
    including spatial and spatiotemporal Gaussian Processes, graph-based priors and scalable spatial statistics.

  • Deep generative models for scientific inference
    including variational autoencoders, diffusion models and generative surrogates for accelerating MCMC and likelihood-free inference.

  • Adaptive data collection and survey design
    including active learning, adaptive sampling and resource-efficient study design for public-health surveillance.

  • Probabilistic programming and scalable computation
    including Stan, PyMC, NumPyro, JAX-based modelling, approximate inference, and high-performance computing for large-scale statistical models.

  • Applications in epidemiology and public health
    including infectious-disease modelling, environmental and toxicological exposures, and data-driven policy decision support.