Tin is an HDR UK Fellow working as a member of the Mexico City Prospective Study team at the Population Health Department of the University of Oxford and the Inouye Lab at the Cardiovascular Epidemiology Unit of the University of Cambridge. As part of HDR UK’s Molecules to Health Records Driver Programme, he works mainly on projects involving the application of machine learning and causal inference methods to multi-omic data (in relation to complex phenotypes). 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.
