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    Elan Rosenfeld

    PhD Student at Carnegie Mellon University

    Elan Rosenfeld is a former Software Engineer at Google who worked in New York, NY from 2016 to 2018.1 During his time at Google, he designed, engineered, and launched features to enhance Google Search by supplementing Knowledge Graph with User-Generated Content (UGC).1 He also designed and constructed processing pipelines to manipulate UGC and share resulting aggregate data with users.1

    Elan Rosenfeld holds a Ph.D. in Machine Learning from Carnegie Mellon University, which he completed from 2018 to 2024.1 His thesis was titled "Understanding, Formally Characterizing, and Robustly Handling Real-World Distribution Shift".1 Prior to his Ph.D., he earned a B.S. in Computer Science with an additional major in Statistics & Machine Learning from Carnegie Mellon University from 2012 to 2016.1

    Currently, Elan Rosenfeld is a Research Scientist at Google Research, focusing on machine learning, robustness, trustworthy ML, and representation learning.3 He has published numerous papers in top-tier conferences such as ICML, NeurIPS, and ICLR, with his work on certified adversarial robustness via randomized smoothing being highly cited.3

    Throughout his career, Elan has also held internships at Apple ML Research, J.P. Morgan Research, Pinterest, and Microsoft.1 His research interests include understanding, quantifying, and improving the robustness and trustworthiness of machine learning systems.2

    Highlights

    “Building a Foundation for Trustworthy Machine Learning” (Elan ...
    Mar 6 · ece.utexas.edu
    Building a Foundation for Trustworthy Machine Learning | Texas ECE
    ‪Elan Rosenfeld‬ - ‪Google Scholar‬
    Bingbin Liu - CMU

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    Elan Rosenfeld
    Elan Rosenfeld, photo 1
    Elan Rosenfeld, photo 2
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    Location

    Pittsburgh, Pennsylvania