The Department of Surgery is pleased to welcome Jocelyn Chi, PhD, as an Assistant Professor in Computational Health Sciences at the University of Minnesota.

Dr. Chi completed her PhD in Statistics with a concentration in Mathematics at North Carolina State University, where Ilse Ipsen advised her. She was also awarded the NSF Mathematical Sciences Graduate Internship, where she worked with the Scalable Solvers Group at Lawrence Berkeley National Laboratory. She went on to receive the NSF Mathematical Sciences Postdoctoral Research Fellowship at UCLA, where Deanna Needell mentored her.

Before joining the University of Minnesota, Dr. Chi was an Assistant Professor in the Department of Applied Mathematics at the University of Colorado Boulder.

Her research focuses on scalable statistical data analysis and computing, using tools from randomized algorithms, machine learning, matrix and tensor factorizations, and stochastic optimization. She develops provable randomized algorithms to scale statistical machine learning methods for analyzing large and complex data, with applications including biobank data, hyperspectral imaging, and survey data containing free-form text responses.

Please join us in welcoming Dr. Chi to the University of Minnesota!