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    Tom Eady

    Passionate about applying computing to clinical and research problems in hearing health

    Tom Eady is a Senior Policy Advisor at the U.S. Securities and Exchange Commission (SEC).1 He has extensive experience in the securities industry, particularly in institutional fixed-income and derivatives.1

    While specific details about Tom Eady's background and career are limited in the provided search results, we can infer a few key points about his professional profile:

    1. Current Role: He currently serves as a Senior Policy Advisor at the SEC, which suggests he plays an important role in shaping policies and regulations related to securities and financial markets.1

    2. Industry Expertise: Eady has significant experience in the securities industry, with a focus on institutional fixed-income and derivatives markets.1 This background likely provides valuable insights for his policy advisory role at the SEC.

    3. LinkedIn Presence: His LinkedIn profile can be found under the username "tom-eady-5b4086a".1

    Given his position at the SEC and his extensive industry experience, it's likely that Tom Eady is involved in high-level decision-making processes and policy formulation related to securities regulation and market oversight. However, without more specific information from his profile or other sources, it's not possible to provide more detailed insights into his career history, educational background, or specific responsibilities at the SEC.

    Related Questions

    What are Tom Eady's main responsibilities at the U.S. Securities and Exchange Commission?
    How long has Tom Eady been working at the U.S. Securities and Exchange Commission?
    What is Tom Eady's educational background?
    Has Tom Eady published any notable research or papers?
    What are some of Tom Eady's notable achievements in his career?
    Tom Eady
    Tom Eady, photo 1
    Tom Eady, photo 2
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    Experience

    Founder at TranscribeGlass since August 2022
    Research Associate at Genentech, Research Assistant at Stanford University School of Medicine, PM Intern at Microsoft, Machine Learning Intern at Intuitive, Biocomputation Research Assistant at Michael Levitt Lab

    Education

    Bachelor's degree in Biocomputation, Junior at Stanford University (2016 - 2020); Master's degree in Biomedical informatics at Stanford University School of Medicine (2020)

    Location

    Washington, District of Columbia, United States