Deanna Needell

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
  • Mark Kong, UCLA, PhD student, stochastic iterative solvers
  • 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