Education

• Ph.D. in Business Economics, Harvard University, 2026–Present
• B.S. in Applied Mathematics and in Economics, Yale University, 2026

Awards

• Arthur Twining Hadley Prize (2026)
  • Awarded to the senior in Yale College majoring in the social sciences who ranks highest in scholarship.
• Yale Science & Engineering Association Award for Outstanding Undergraduate Achievement (2026)
  • Based on faculty recommendations, this recognition honors seniors who have distinguished themselves through academic achievement, research, service, and leadership.
• Phi Beta Kappa, First Election (2025)
• Columbia University Science Honors Program (2020-2022)
• Coolidge Senator (2021)

Work experience

• Yale Department of Economics: Research Assistant (August 2024–June 2026)
  • Collaboration between Yale Economics and MIT Sloan investigating 401(k) & 403(b) retirement saving behavior and equity. Research assistantship funded by a Tobin Undergraduate Research Assistantship and a Herb Scarf Summer Research Assistantship.
  • Supervisor: Cormac O’Dea
  • Collaborators: Taha Choukhmane, Lawrence D.W. Schmidt
• Ellington Management Group, NYC: Research Intern (June 2025–August 2025)
  • Multi-strategy structured credit hedge fund with $15+B AUM.
• Yale Department of Applied Physics: Research Group Member (June 2023–December 2024)
  • Independent special project in the Yale Energy Sciences Institute’s Miller Group to design an all-angle color sorting optical device for application in photovoltaics.
  • Awarded the Yale College Dean’s Research Fellowship in the Sciences, fully-funding original research leveraging a novel optimization framework for photonic design, with implications for the design of optical computing devices.
  • Supervisor: Owen D. Miller

Publications

Using Large Language Models to Measure U.S. Retirement Plan Design at Scale: Methods and Evidence

Taha Choukhmane, John M. Dedyo, Cormac O'Dea, Lawrence D.W. Schmidt. (2026). 'Using Large Language Models to Measure U.S. Retirement Plan Design at Scale: Methods and Evidence' Forthcoming.

Talks

Using Large Language Models to Measure U.S. Retirement Plan Design at Scale: Methods and Evidence

May 07, 2026

Talk at NBER AI and Economic Measurement, Stanford University, Palo Alto, CA, USA