Current Graduate Students
Current PhD Students (Advanced to Candidacy)
Yuxuan Liu, UCLA, works on mathematical machine learning, applied analysis, and optimization.
Tracy Yu, UCLA, works on randomized methods for operator and PDE approximation.
Jacob Murri, UCLA, works on data assimilation for fluid dynamics and nonlocal PDE.
Current PhD Students (Completed Qualifying Exams)
If you are a current PhD student and interested in joining, please feel free to reach out.
Current Postdoctoral Researchers
Current Postdoctoral Scholars
Daniel Gurevich, PIC Hedrick Assistant Adjunct Prof., 2025-2028
Elisa Negrini, CAM Assistant Adjunct Prof., 2023-2026
Co-mentored Postdoctoral Scholars
Liyao Lyu, PIC Hedrick Assistant Adjunct Prof., 2025-2028, co-mentored with A. Bertozzi
Minxin Zhang, PIC Hedrick Assistant Adjunct Prof., 2023-2026, co-mentored with D. Needell
Chunyang Liao, PIC Hedrick Assistant Adjunct Prof., 2023-2026, co-mentored with D. Needell
Former Students and Postdocs
Former Graduate Students
Jingmin Sun, CMU, PhD 2025
Dissertation: "Architecture, Analysis and Applications of Multi-Operator Learning"
Current: Postdoctoral Fellow, Department of Applied Mathematics and Statistics at John Hopkins University
Zhijun Chen, CMU, PhD 2023
Dissertation: "Conditioning of Random Feature Matrices and Sparse Recovery"
Current: Researcher at the National Cancer Institute, NIH
Yifan Sun, CMU, PhD 2023
Dissertation: "Topics on modeling high dimensional time series data"
Current: Algo Quant, Barclays Capital, NYC
Kayla Bollinger, CMU, PhD 2022
Dissertation: "Reduced Order Models and Regression for Applications to Structural Modeling"
Current: Research Analyst at Education Analytics
Linan Zhang, CMU, PhD, 2019
Dissertation: "Sparse Recovery and Deep Learning For Extracting Time-Dependent Models From Data"
See also my mathematics genealogy page
Former Postdoctoral Scholars
Zecheng Zhang, CMU 2022-2024, Current: Assistant Professor at University of Notre Dame