Biography
Tin joined the Inouye Lab at the CEU (at the University of Cambridge) and the Mexico City Prospective Study team at Oxford Population Health in late 2024. As part of Health Data Research UK’s Molecules to Health Records Driver Programme, he works mainly on projects investigating the relations between 'omic traits and risk factors and diseases. More generally, he is interested in applications of causal inference and machine learning methods in epidemiology and health policy research. Tin completed his PhD (DPhil) at the University of Oxford, supported by the Oxford Population Health and Ad futura scholarships. The aims of his PhD project were to assess the possible causal relations between body composition traits and a wide range of diseases, and to identify potential novel drug targets for fat mass reduction using proteomic data. Before beginning his PhD, he worked as a data scientist at IBM’s Chief Analytics Office in New York, as a researcher at IBM Research, and as co-lead of a Data Science for Social Good project aiming to improve MMR vaccination rates in Croatia, among other roles. In addition to his PhD, he served as lead analyst on other research projects, including, for instance, a pragmatic non-inferiority trial of smoking cessation therapies. He received an MSc in data science from Columbia University and BAs in philosophy and economics from Brown University. Before moving to the USA, and then the UK, Tin lived in Croatia.
