Emily Lee

AVP @ Tradeweb

United States

About

Hi! I am a Computer Science student with a diverse technical background, experienced in mainly back-end program development. I am passionate about leveraging machine learning and mathematical models to analyze big data and drive insights, with a recent focus on financial program development. I am looking to channel my expertise and passion into real-world applications, where I can actively contribute to creating impactful solutions.

Experience

  • Tradeweb (Full-time · 2 yrs)
    • Assistant Vice President, Technology Development and Support
      Jan 2026 - Present · 7 mos

    • Associate, Technology Data Strategy
      Aug 2024 - Dec 2025 · 1 yr 5 mos

  • Harvey Mudd College (Claremont, California, United States)
    • Research Investigator
      May 2022 - May 2024 · 2 yrs 1 mo

      Evaluate and improve computer vision saliency models on their ability to predict eye fixation data. Create guidelines in improving the accessibility of scientific figures based on automated systems

    • Computer Science Tutor
      Jul 2021 - May 2024 · 2 yrs 11 mos

    • Research Investigator
      Feb 2022 - May 2022 · 4 mos

      Create automated feature labelling in cinematic eye tracking dataset. Develop an automated system to detect hard cuts in film

  • Claremont McKenna College (Claremont, California, United States)
    • Resident Technical Assistant
      Jul 2021 - May 2024 · 2 yrs 11 mos

    • Office Technical Assistant
      Jul 2021 - May 2024 · 2 yrs 11 mos

  • C++ Developer Intern at Tradeweb
    Jun 2023 - Aug 2023 · 3 mos

    Developed a C++ based quality assurance application to ensure error-free market data exchange between the server and client application for the Technology Data Strategy Team. Designed and implemented a validation library for testing market data feeds, enhancing support for various financial instruments.

  • Research Assistant at Pomona College and Scripps College
    Jun 2021 - Aug 2023 · 2 yrs 3 mos

    Researched and created a mathematical model of the impact of COVID-19 in a closed community environment to advise Claremont Colleges Consortium’s COVID response. Published in the CODEE (Community of Differential Equation Educators) journal. Presented at Claremont Center for the Mathematical Sciences in Fall 2021 on spread of COVID in college campuses as predicted by self-developed mathematical model.