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Jonathan Huggins is an Assistant Professor in the Department of Mathematics & Statistics at Boston University and an affiliated faculty member of the Computer Science department. He is a Data Science Faculty Fellow and a founding member of the Faculty of Computing & Data Sciences. Previously, he served as a Postdoctoral Research Fellow in the Department of Biostatistics at Harvard. Jonathan completed his Ph.D. in Computer Science at the Massachusetts Institute of Technology in 2018. He also holds a B.A. in Mathematics from Columbia University and an S.M. in Computer Science from MIT. His research interests are centered on the development of fast and trustworthy machine learning methods, focusing on balancing computational efficiency with statistical optimality to address the inherent imperfections in real-world problems. His current applied work emphasizes developing methods that enable effective scientific discovery from high-throughput multi-modal genomic data.
Boston University • Boston, MA
Currently serving as an Assistant Professor in the Department of Mathematics & Statistics and affiliated with Computer Science.
Harvard University • Cambridge, MA
Worked in the Department of Biostatistics focusing on statistical methodologies.
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