Before joining the HDRUK-Turing-Wellcome PhD Programme in Health Data Science, Natalia studied BSc Actuarial Science at the London School of Economics followed by a MSc Statistical Science at the University of Oxford.

Natalia’s master’s dissertation with the Oxford Protein Informatics Group was on the parameterisation of models for protein folding using machine learning. After her masters, she worked as a research assistant in the Biostatistics department at Imperial College London, where she developed statistical methodology to support research in lung cancer risk prediction.

Natalia is broadly interested in developing Bayesian methods and machine learning approaches with applications in healthcare.

Outside work, she enjoys travelling, meeting people, and cooking.