Jonathan Huggins

Jonathan Huggins is an Assistant Professor in the Department of Mathematics & Statistics and the Faculty of Computing & Data Sciences at Boston University. He is also a Data Science Faculty Fellow and an affiliated faculty member of the Department of Computer Science and the BU Program in Bioinformatics. Prior to joining BU, he 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. His research centers on the development of fast, trustworthy machine learning and AI methods 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. His current applied work is focused on methods to enable more effective scientific discovery from high-throughput and multi-modal genomic data.

Research interests: Large-scale learning, Bayesian computation, Robust Inference, Statistical genetics

Website

Google Scholar Profile