Jocelyn Chi, a former SEAS Fellow in the Department of Statistics, has been awarded an NSF Mathematical Sciences Postdoctoral Research Fellowship to pursue her professional training in the Department of Mathematics at the University of California, Los Angeles. She will be collaborating on a project titled, “Provable Randomized Algorithms for Scaling Multivariate Statistical Methods for Analyses of Massive, Complex and Structured Data,” with mentor Deanna Needell, Professor and Dunn Family Endowed Chair in Data Theory.
As a SEAS Fellow, Jocelyn was an active participant by presenting her research during our internal and external advisory board meetings and at professional conferences. In 2018, she placed 3rd in the best poster competition with her poster entitled, “Randomized Least Squares Regression: Combining Model- and Algorithm-Induced Uncertainties” at the 4th International Conference on Big Data and Information Analytics (BigDIA) conference in Houston, Texas. In 2019, she participated in the Oak Ridge Institute Science and Education (ORISE) National Science Foundation (NSF) Mathematical Sciences Graduate Internship (MSGI) program at Lawrence Berkeley National Laboratory, and interned with Dr. Xiaoye Sherry Li in the Scalable Solvers Group of the Computational Research Division. Her intellectual contributions and development of the data science tutorial has helped to advance the SEAS traineeship since its inception. Jocelyn is also a program coordinator of the Data Scientists in Training in the statistics department.
Jocelyn has successfully defended her dissertation under the guidance of Ilse Ispen, and will receive her PhD in August.
Her feature by the College of Science can be read here.