Michael Serrano

Michael Serrano

Algorithmic Game Theory Researcher

location of Michael SerranoCambridge, Massachusetts, United States

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  • Timeline

  • About me

    CS, Data Science, Econ, and Physics @ MIT

  • Education

    • Rockwood Summit Sr. High School

      2018 - 2022
      High School Diploma
    • Massachusetts Institute of Technology

      2022 -
      Bachelor's degree Computer Science, Data Science, and Economics, Physics 4.9/5.0

      Activities and Societies: Beta Theta Pi Fraternity, Sloan Business Club, SHPE, Associate Advisor, Resident Peer Mentor

  • Experience

    • MIT Sloan School of Management

      Jan 2023 - May 2023
      Algorithmic Game Theory Researcher

      Worked on design of Deep Q-Networks and Self-Play algorithms to study effects of programmed biases in pricing algorithms on collusion.

    • MIT Sloan Business Club

      Jan 2023 - now

      Allocates spending for club ventures and overlooks revenue streams and expenses. Prepared weekly classes in consulting, finance, and entrepreneurship for new members. Analyzed company 10-Ks, built DCF models, and wrote business analyses with models such as Economic Moat and Porter's Five Forces.

      • Treasurer

        Jan 2024 - now
      • Board Education Program Director

        Jan 2023 - Jan 2024
    • Instituto Politécnico Nacional

      Jun 2023 - Aug 2023
      Post-Quantum Cryptography Researcher

      Formulated web protocols that are resistant to quantum computer attacks according to NIST standards.

    • Jane Street

      Jan 2024 - Jan 2024
      In Focus Fellowship Participant

      Gained exposure to best practices with quantitative trading on different financial markets, and completed probability and logic competitions with traders.

    • MIT Schwarzman College of Computing

      Feb 2024 - May 2024
      Undergraduate Course Assistant

      Modeling with Machine Learning, Spring 2024.

    • Better Off: IRL Social Experiences

      Jun 2024 - now
      Machine Learning Intern

      • Built and trained a GCN model to partition event attendees into compatible groups• Repurposed pre-existing algorithms to generate synthetic data for model training• Refactored matching algorithm codebase and documentation, yielding a 54x speed-up• Yielded a 99.2% group satisfaction rating from users with the ML matching algorithm

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Michael Serrano
      IMC Prosperity - Top 1% IMC Trading May 2024
    • Awarded to Michael Serrano
      RCM Level 9 Pianist Certificate Royal Conservatory of Music May 2021