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Bin Han is a researcher at the University of Gothenburg, focusing on spatiotemporal statistical analysis and machine learning-based approaches to understanding preterm delivery in Sweden. His recent projects involve spatiotemporal statistical analysis related to COVID-19 in Sweden, collaborating with notable researchers such as Mia Söderberg and Ottmar Cronie. Bin has a postdoctoral fellowship experience at KTH, where he was supervised by Liam Solus, and has also held a postdoctoral position at Bar-Ilan University under the guidance of Ron Adin and Yuval Roichman. He earned his PhD in Mathematics from the University of Lyon 1 in February 2020, with supervision from Jiang Zeng. His research interests encompass statistics, machine learning, algebraic geometric combinatorics, and enumerative combinatorics.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).