Jonathan Huggins

Dr. Jonathan Huggins is an Assistant Professor of Mathematics & Statistics and of Computing & Data Sciences at Boston University. His group's research focuses on the development of trustworthy, scalable methods for inference and uncertainty quantification that balance the need for computational efficiency and the desire for statistical optimality with the inherent imperfections that come from real-world problems, large datasets, and complex models. Their current applied work is focused on developing software tools and computational methods for (1) accelerating and improving large-scale forecasting of ecological systems and (2) enabling more effective scientific discovery from high-throughput and multi-modal genomic data.

Jonathan is also a Data Science Faculty Fellow and an affiliated faculty member of the Department of Computer Science, the BU URBAN Program, and the BU Program in Bioinformatics. He is a recipient of an NSF CAREER award (2024) and a Blackwell–Rosenbluth Award (2023), which recognizes outstanding junior Bayesian researchers based on their overall contribution to the field and to the community. His research has been supported by the National Institutes of Health, the National Science Foundation, and the Department of Defense.

Prior to joining BU, Jonathan was a Postdoctoral Research Fellow in the Department of Biostatistics at Harvard. He completed his Ph.D. in Computer Science at the Massachusetts Institute of Technology in 2018. Previously, he received a B.A. in Mathematics from Columbia University and an S.M. in Computer Science from the Massachusetts Institute of Technology.

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