Deanna Needell

Current Students and Alumni

♦ Request letter of recommendation

    Graduate Students & Postdocs

  • Chris Strohmeier, UCLA, PhD student, Data completion and learning
  • Jacob Moorman, UCLA, PhD student, Stochastic optimization
  • Denali Molitor, UCLA, PhD student, Data analysis and learning
  • Jamie Haddock, UCLA, CAM Postdoc, optimization and learning
  • Hanbaek Lyu, UCLA, CAM Postdoc, dynamical systems, distributed algorithms, network data analysis
  • Liza Rebrova, UCLA, Postdoc, non-asymptotic random matrix theory
  • Palina Salanevich, UCLA, Postdoc, phase retrieval and learning

    Past graduate students and postdocs


  • Dr. Anna Ma (2018), Claremont Graduate University, Topic modeling & compressed sensing (now UC Chancellors postdoc fellow at UC San Diego)
  • Dr. Tina Woolf (2017), Claremont Graduate University, Practical Compressed Sensing (now at JPL)
  • Prof. Guangliang Chen (2015), postdoctoral researcher (now Asst. Professor at San Jose State)
  • Ran Zhao (2015), Claremont Graduate University, Stochastic optimization (now at AIG)

    Past thesis students



  • Matthew Aven, Claremont McKenna College (2017), Daily Traffic Flow Pattern Recognition by Spectral Clustering
  • Wei Wu, Scripps College (2017), Paving the Randomized Gauss-Seidel Method
  • Dejun Wan, Claremont McKenna College (2016), The Randomized Kaczmarz Method with Application on Making Macroeconomic Predictions
  • Phillip North, Claremont McKenna College (2015), One-bit compressed sensing with prior information [Best Thesis Award 2015]
  • Jonathon Briskman, Claremont McKenna College, Block Kaczmarz Method with Inequalities
  • Evan Casey, Claremont McKenna College, Scalable Collaborative Filtering Recommendation Algorithms on Apache Spark [Outstanding Thesis Award 2014]
  • Nathan Falk, Claremont McKenna College, Policy Uncertainty and Irreversible Investment in the United States
  • Aparna Sarkar, Pomona College, Compressed Sensing and Human Vision
  • Zachary Siegel, Pomona College, Generative Models and Sparse Coding
  • Nathan Lenssen, Claremont McKenna College (2013), Audio Signal Processing and Forecasting [Best Thesis Award 2013]
  • Morgan Mayer-Jochimsen, Scripps College (2013), Public Healthcare Evaluation Techniques
  • Jing Wen, Pomona College (2013), Spectral Clustering Methods in Finance

    Summer Research

  • 2018 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Patterns of Lyme Disease [ Papers ]

    • Data Completion Team
      • Matthew Patterson, Pomona College
      • Sneha Sambandam, UCLA
      • Joy Song, Tsinghua Univ.
      • Yuanxun Sun, Peking Univ.

    • Deep Models Team
      • Mengdi Gao, UC Irvine
      • Eli Sadovnik, UCLA
      • Tyler Will, Michigan State
      • Runyu Zhang, Peking Univ.

    • Classification Team
      • Eric Chen, UCLA
      • Rong Huang, UCLA
      • Diyi Liu, Shanhai Jiao Tong Univ.
      • Cathy Wahlenmayer, Gannon Univ.
      • Jiewen Wang, UCLA

    • Co-mentors
      • Jamie Haddock, UCLA
      • Denali Molitor, UCLA
      • Anna Ma, UC San Diego

  • 2017 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Data Science meets Lyme Disease Data
    • Allyson Cruz, Claremont McKenna College
    • Anna Ma (co-mentor), Claremont Graduate University
    • Kevin Stangl, UCLA

  • 2015 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Practical Compressive Signal Processing [ Papers ]

    • Mindy Case, UCLA
    • Xiaoyi Gu (NSF RA), UCLA
    • Hao-Jun Michael Shi, UCLA
    • Shenyingying Tu (NSF RA), UCLA

  • 2015 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Longitudonal MRI and compressed sensing [ Papers ]

    • Samuel Birns, UCLA
    • Bohyun Kim, UC Irvine
    • Stephanie Ku, UCLA
    • Kevin Stangl, UCLA

  • 2014 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Practical Compressive Signal Processing [ Papers ]

    • Christopher Garnatz, Pomona College
    • Xiaoyi Gu (NSF RA), UCLA
    • Alison Kingman, Harvey Mudd College
    • James LaManna, Pitzer College
    • Shenyingying Tu (NSF RA), UCLA

  • 2014 Research Experience for Undergraduates (REU), Applied Mathematics, UCLA
    Analysis of Neuroscience Data [ Paper ]

    • Arpineh Asadoorian, UCLA
    • Christian Ayala, Claremont McKenna College
    • Jessica Nadalin, UC Berkeley
    • Ryan McCarthy (RA), UCLA
    • Susannah Shoemaker, Pomona College

  • 2014 Summer Graduate Research Program, Claremont McKenna College
    Practical Compressive Signal Processing
    • Flora Xu Shu Jing (NSF RA), Claremont Graduate University
    • Tina Woolf (NSF RA), Claremont Graduate University
    • Ran Zhao (NSF RA), Claremont Graduate University

  • 2012 Research in Industrial Projects for Students (RIPS), Institute of Pure and Applied Mathematics, UCLA
    Spectral Clustering and the Attrition Problem [ Papers ]

    • Bianca Cung, UCLA
    • Tony Jin, Stanford
    • Juan Carlos Ramirez, Univ. of Mexico
    • Aubrey Thompson (project manager), Univ. of Nebraska

  • 2010 VIGRE VPUE Undergraduate Summer Workshop, Stanford
    Robust Principal Component Analysis[ Papers ]
    • Michael Hornstein, Stanford