BA, BA, MSc
Tin Oreskovic joined Oxford Population Health and the Big Data Institute in October 2021. He is co-supervised by Ben Lacey, Sarah Lewington and Sofia Massa. Tin aims to employ methods for non-experimental causal inference at scale and statistical genomics to assess the possible impact of adiposity on a range of health outcomes, using data from the UK Biobank. He received his MSc in Data Science from Columbia University and his BAs in Economics and Philosophy from Brown University.
Prior to joining Oxford Population Health and the Big Data Institute, Tin 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 US, and co-led a Data Science for Social Good project focused on improving MMR Vaccination rates in Croatia. He continues to contribute to other research projects: investigating variation in COVID-19 vaccine hesitancy 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; modelling adverse outcomes of COVID-19 at the Croatian Institute of Public Health; and examining the mechanisms 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 Europe Champion award from the DSSG Foundation, and the Ducasse Prize for Excellence in Philosophy from Brown University.