BA, BA, MSc
Tin Oreskovic joined Oxford Population Health and the Big Data Institute in October 2021 as a PhD candidate supervised by Ben Lacey, Sarah Lewington, Sofia Massa, and Derrick Bennett. Tin’s PhD is supported by scholarships from Oxford Population Health and the Ad Futura Foundation. He aims to employ non-experimental causal inference, statistical genomics, and machine learning methods to assess the possible causal relations between body composition and a wide range of diseases, using data from the UK Biobank. Tin received his MSc in data science from Columbia University and his BAs in economics and philosophy from Brown University.
Tin previously worked as a data scientist at IBM’s Chief Analytics Office in New York, as a researcher at an IBM-MIT AI Lab group studying the opioid epidemic in the USA, and as a co-lead of a Data Science for Social Good project focused on improving MMR Vaccination rates in Croatia. He continues to contribute to other research projects: investigating attitudes towards vaccines and public health interventions with a team at LSE Health Policy; studying smoking cessation therapies in a multicentre non-inferiority trial led by teams at MGH - Harvard Medical School and the Andrija Štampar School of Public Health; and examining the mechanisms and effects of political news selection and framing, at Microsoft Research.
Tin has received several prizes: the Cognitive (AI) Excellence Award from IBM, the Data Science for Social Good Champion award from the DSSG Europe Foundation, and the Ducasse Prize for Excellence in Philosophy from Brown University.