Kat is an MPhil student in Sociology and Demography and a Research Assistant at LCDS, where she is deeply engaged in exploring the nuances of population health through advanced computational methods. Her current work under the guidance of Prof. Jennifer Dowd focuses on unraveling the intricate patterns of excess cause-specific mortality in the US during the COVID-19 pandemic. With a keen eye for detail and a robust methodological approach, Kat leads efforts in data management, modeling, and visualisation, contributing significantly to research that aims to provide clearer insights into the pandemic's impacts on different populations.

Before her current role at LCDS, Kat's academic journey began with a BSc in Sociology from the Higher School of Economics in Moscow, where she cultivated a strong foundation in quantitative methods and statistics. Her commitment to understanding and addressing health inequalities propelled her to Oxford, where she enhanced her skills in computational social science. Kat's MPhil dissertation supervised by Dr. José Manuel Aburto employed sophisticated statistical models to dissect COVID-19-related excess mortality in Russia, offering new perspectives on population health measurement challenges.