Dr. Jonathan Huggins

Biography

Jonathan Huggins is an Assistant Professor in the Faculty of Computing & Data Sciences at Boston University. His research focuses on the development of fast and trustworthy machine learning methods that balance computational efficiency with the statistical optimality needed to address the inherent imperfections of real-world problems. Professor Huggins specializes in working with large datasets and complex models, with a current emphasis on applying algorithms for efficient calibration and uncertainty quantification in large-scale ecological models. His methods enable effective scientific discoveries, particularly in the analysis of high-throughput multi-modal genomic data. For more information about his research and publications, please visit his personal webpage.

Research Interests