Research Group

Current graduate students & postdocs

   














• Joyce Chew, UCLA, PhD student, stochastic iterative methods, tensor numerical methods, manifold- and graph-based methods
• Willem Diepeveen, UCLA, Hedrick CAM Postdoc, inverse problems, optimization and differential geometry
• Guilio Farolfi, UCLA, CAM Postdoc, Financial Math
• Xue Feng, UCLA, Hedrick PIC Postdoc, Mathematical Data Science
• Erin George, UCLA, PhD student, stochastic iterative methods, fairness in ML, deep learning theory
• Alex Hue, UCLA, PhD student, stochastic iterative methods
• Nicholas Hu, UCLA, PhD student, large-scale linear solvers
• Lara Kassab, UCLA, CAM Postdoc, matrix and tensor factorizations for learning, dimensionality reduction techniques, topological and geometric data analysis
• Chunyang Liao, UCLA PIC Postdoc, Mathematical Data Science, Approximation Theory, (Deep) Learning Theory
• Alex Sietsema, UCLA, PhD student, Mathematical Data Science, Stochastic Optimization
• Zerrin Vural, UCLA, PhD student, Mathematical Data Science
• Minxin Zhang, UCLA, Hedrick CAM Postdoc, optimization, machine learning