Research Group

Current graduate students & postdocs

   














• Joyce Chew, UCLA, PhD student, stochastic iterative methods, tensor numerical methods, manifold- and graph-based methods
• Jocelyn Chi, UCLA, NSF Postdoc, numerical linear algebra, statistical learning
• Guilio Farolfi, UCLA, CAM Postdoc, Financial Math
• Erin George, UCLA, PhD student, stochastic iterative methods, bias in NLP, deep learning theory
• Halyun Jeong, UCLA, CAM Postdoc, signal processing, machine learning, nonlinear signal recovery
• 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
• Michael Murray, UCLA, PIC Postdoc, machine learning, mathematical inference
• Yotam Yaniv, UCLA, PhD student, stochastic iterative methods, matrix sketching, deep learning theory
• Minxin Zhang, UCLA, Hedrick CAM Postdoc, optimization, machine learning