Jonathan Huggins
Jonathan Huggins (MA214 project lead) is an Assistant Professor of Mathematics & Statistics and Computing & Data Sciences. His research interests are broadly in large-scale, statistically robust uncertainty quantification, with applications to ecological modeling and scientific discovery using high-throughput and multi-modal genomic data. He regularly teaches MA214 Applied Statistics and MA586 Stochastic Methods for Algorithms. He is excited about introducing […]