Lecturer (Assistant Professor) In Biostatistics, Computational Epidemiology And Machine Learning
Oxford, England, United Kingdom
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Summary
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Senior
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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.
10 years of coding experience
5 years of employment as a software developer
Doctor 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
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