I am primarily interested in the application of machine learning methods.

My recent project involved derivation of a risk score using machine learning, for early identification of patients at high risk of pancreatic cancer using their primary care electronic health records.

My current work focuses on quantitative analyses of data on health status and multidimensional aspects of quality of life (physical, mental, social) of cancer patients treated with immunotherapy. Specifically, the aim is to understand the causal determinants of quality of life following immunotherapy treatment, identify patterns of immunotherapy related adverse events and investigate how it impacts the different components of quality of life.