Scholar
Elizaveta Semenova
Google Scholar ID: jqGIgFEAAAAJ
Assistant Professor, Imperial College London
Citations & Impact
Citations
2,107
H-index
16
i10-index
21
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers such as “PriorVAE: encoding spatial priors with variational autoencoders for small-area estimation”, “Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya”, “PriorCVAE: scalable MCMC parameter inference with Bayesian deep generative modelling”; recipient of Schmidt Sciences AI2050 Early Career Fellowship.
Research Experience
- Lecturer at Imperial College London in Biostatistics, Computational Epidemiology and Machine Learning; previously worked at the University of Oxford, Computer Science (2022-2024) and Imperial College London, Department of Mathematics, Statistics section (2021-2022) with Seth Flaxman and MLGH network; postdoc in Bayesian Machine Learning at AstraZeneca R&D (2019-2021), collaborating with Prioris.ai.
Education
- 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.
Background
- Lecturer in Biostatistics, Computational Epidemiology and Machine Learning, with research interests in spatiotemporal statistics, Gaussian processes, deep generative models, Bayesian survey design, and epidemiological applications.
Miscellany
- Interested in organizational activities like StanCon 2024, ICLR'23 “First workshop on Machine Learning & Global Health”, NeurIPS'22 “Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems”, Gaussian Processes seminar series; Data Science Theme Ambassador at Imperial College London.
