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    Maurice Diesendruck

    Data Scientist (Speech and Vision)

    Maurice Diesendruck is a data scientist with expertise in statistics and machine learning. He completed his Ph.D. in Statistics and Data Sciences at the University of Texas at Austin, defending his dissertation in May 2019.12 His doctoral research focused on "Distribution Distance Measures in Generative and Privacy Models," and he was co-supervised by Dr. Sinead Williamson and Dr. Mingyuan Zhou.24

    After graduating, Diesendruck joined Ojo Labs as a Data Scientist.12 As of January 2025, he has transitioned to a role as a Senior Applied Scientist at Microsoft Research.1 His research interests appear to include distribution shifts, latent space representations, and their applications in machine learning models.3

    Diesendruck has also contributed to academic publications, including work on detecting distribution shifts using latent space representations.3 This research focuses on developing methods to assess model generalizability and detect distribution shifts, which can impact model performance on new datasets.

    Highlights

    Jan 16 · arxiv.org
    Computer Vision and Pattern Recognition - arXiv
    Jan 1 · stat.utexas.edu
    Ph.D. and Postdoctoral Alumni | Department of Statistics and Data ...
    Ph.D. and Postdoctoral Alumni | Department of Statistics and Data ...
    Research Group - Mingyuan Zhou
    Research Group - Mingyuan Zhou
    Adaptive Weighted Discriminator for Training Generative Adversarial ...
    Mar 6 · proceedings.com
    [PDF] PITTCON Conference and Expo 2014 (Table of Contents)

    Related Questions

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    Maurice Diesendruck
    Maurice Diesendruck, photo 1
    Maurice Diesendruck, photo 2
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    Location

    San Francisco Bay Area