Hi, I'm Jocelyn and I'm an assistant professor in the Department of Applied Mathematics at the University of Colorado Boulder.
- I was a recipient of the NSF Mathematical Sciences Postdoctoral Research Fellowship, where I was mentored by Deanna Needell in the Department of Mathematics at UCLA.
- I completed my PhD studies in statistics with a concentration in mathematics at NC State, where I was advised by Ilse Ipsen.
- During my PhD studies, I was a recipient of the NSF Mathematical Sciences Graduate Internship and worked with Sherry Xiaoye Li in the Scalable Solvers Group at Lawrence Berkeley National Laboratory.
Research
My research interests are in scalable statistical data analysis and computing using tools from randomized algorithms, machine learning, low rank matrix and tensor factorizations, stochastic optimization, and numerical analysis. My work focuses on developing provable randomized algorithms to scale statistical machine learning methods for the analyses of modern massive, complex, and structured data. My computational projects have included applications to biobank data, hyperspectral imaging, and survey data containing free-form text responses. Please find my publications here and on Google Scholar.
My work has been supported by
- NSF DMS-2103093: "Provable Randomized Algorithms for Scaling Multivariate Statistical Methods for Analyses of Massive, Complex, and Structured Data." (PI)
Keywords: Scalable statistical computing, randomized algorithms, statistical machine learning, stochastic optimization, numerical analysis, nonnegative matrix factorization, tensors
Contact
Email: jocelyn [dot] chi [at] colorado [dot] edu
Mail:
Univ of Colorado Boulder
Department of Applied Mathematics
Campus Box 526
Boulder, CO 80309-0526
Office: Engineering Center ECOT 324