Elizaveta Semenova

Lecturer (Assistant Professor) In Biostatistics, Computational Epidemiology And Machine Learning

Oxford, England, United Kingdom
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Summary

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Elizaveta Semenova is a Lecturer in Biostatistics, Computational Epidemiology and Machine Learning with a PhD in epidemiology and over a decade of experience applying Bayesian inference, spatial statistics and probabilistic ML to public health and drug discovery problems. She has held research and teaching roles at Imperial College and the University of Oxford, contributed to Gaussian Process seminars and ML-for-global-health workshops, and translated complex spatiotemporal models into practical surveillance and toxicity-prediction tools. Comfortable with tools from R/Stan to JAX/Numpyro, she blends theoretical mathematics with large-scale applied modelling—having worked on log-Gaussian Cox processes, adaptive survey design and deep generative models. Notably, her background spans industry and academia, from AstraZeneca drug-safety projects to organizing inclusive tech education initiatives, reflecting a rare mix of domain impact, outreach and methodological depth.
code10 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Epidemiology/Biostatistics (summa cum laude i.e. with distinction, Doctor of Philosophy (Ph.D.) Epidemiology/Biostatistics (summa cum laude i.e. with distinction at Swiss Tropical and Public Health Institute
bookLomonosov Moscow State University
languagesRussian, English, German, Italian, French
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Github Skills (71)

stan10
julia10
probabilistic-graphical-models10
turinglang9
probabilistic-programming9
mcmc9
bayesian-inference9
uncertainty9
compilation9
bayesian-statistics9
agent-based-modeling9
probabilistic9
gaussian-processes9
probabilistic-models9
bayesian9

Programming languages (9)

JuliaTypeScriptRCSSOCamlTeXHTMLJupyter Notebook

Github contributions (5)

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Contributions:547 pushes, 1 branch in 5 years 8 months
elizavetasemenova/PriorVAE

May 2022 - Nov 2022

Code of PriorVAE: encoding spatial priors with variational autoencoders
Contributions:4 reviews, 28 commits, 3 PRs in 6 months
autoencoderautoencodersspatialencodingvariational-autoencoder
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