David Donoho is a mathematician who has made fundamental contributions to theoretical and computational statistics, as well as to signal processing and harmonic analysis. His algorithms have contributed significantly to our understanding of the maximum entropy principle, of the structure of robust procedures, and of sparse data description.

Research Statement:
My theoretical research interests have focused on the mathematics of statistical inference and on theoretical questions arising in applying harmonic analysis to various applied problems. My applied research interests have ranged from data visualization to various problems in scientific signal processing, image processing, and inverse problems.

Stanford Advisees

  • Doctoral Dissertation Reader (AC)
    Michael Celentano
  • Orals Chair
    Seo Jin Park
  • Postdoctoral Faculty Sponsor
    Mahsa Lotfi, Vardan Papyan
  • Doctoral Dissertation Advisor (AC)
    Michael Feldman, Behrooz Ghorbani, Qingyun Sun
  • Postdoctoral Research Mentor
    Alon Kipnis, Vardan Papyan