Data Scientist at IBM Chief Analytics Office, Researcher at IBM Research
Tin Oreskovic is a Data Scientist at IBM’s Chief Analytics Office, and a Researcher at an IBM Research group studying the opioid epidemic in the US. He is also involved with several other research groups, on projects including a study quantitatively examining mechanisms of political news framing in the most widely read US publications, and modeling adverse COVID-19 outcomes in Croatia.
Before joining IBM, he worked on a Microsoft Research project in partnership with Columbia's Data Science Institute, using multilevel modeling and poststratification to forecast US congressional elections with severely non-representative online pollings. He is a Brown University graduate in Econometrics and Quantitative Economics as well as in Philosophy, and a Columbia University graduate in Data Science.
Tin's acedemic work has been published by The Lancet Global Health, IEEE, Columbia University's Data Science Institute, and The European Journal of Public Health, among others. Tin has also written for popular publications such as Huffington Post and TimeOut Croatia.
Tin has received several prizes, including the Ducasse Prize for Excellence in Philosophy from Brown University, the Data Science for Social Good Europe Champion award from the DSSG Foundation, and the Cognitive (AI) Excellence Award from IBM.