Research
Publications and selected research experience in market design, industrial organization, and computational social choice.
My research interests are in industrial organization and empirical market design. My experience spans digital assets, transportation, electricity, shipping, and generative AI. My published work studies collective decision-making and voting rules.
Conference publication
Published work
2024
Stanford Graduate School of Business · 2024–2026
Selected research experience
Projects I contributed to as a Predoctoral Research Fellow.
FIFA Ticketing
Sep 2025 – Jun 30, 2026
Research focus: Demand and trading activity in FIFA NFT and ticketing markets.
My contribution
- Scraped and analyzed 1M+ observations from FIFA Collectibles, World Cup 2026 tickets, and Fifachain transactions.
- Combined marketplace and blockchain data to study demand and trading in FIFA NFT and ticketing markets.
Supervisor: Prof. Paulo Somaini
Congestion Pricing and Carpooling
Jul 2025 – Jun 30, 2026
Research focus: How congestion charges affect travel and carpooling decisions.
My contribution
- Built 1M+ Manhattan trip observations from Replica and Google Maps API to study congestion-pricing responses.
- Built a Manhattan car-count dataset from 25,000+ hours of unstructured video footage.
- Reviewed research on how congestion pricing and parking fees affect carpooling.
Supervisor: Prof. Michael Ostrovsky
Read the paper →Power Plants, Transmission Lines, and Data Centers
Jul 2025 – Sep 2025
Research focus: Electricity generation under market bids and transmission-network constraints.
My contribution
- Developed a PowerModels.jl model to predict electricity generation from bid data and transmission-network constraints.
- Compared ERCOT-SCED bids with realized generation and diagnosed inconsistencies in the energy-market data.
Supervisors: Prof. Ali Yurukoglu; Prof. Omer Karaduman
Port Substitution and Congestion in the Container Shipping Industry
Sep 2024 – Jun 2025
Research focus: Port substitution and congestion in container shipping.
My contribution
- Resolved vessel identities across 150M+ maritime AIS and Panjiva observations using a ship-matching algorithm.
- Built reproducible customs and product-data pipelines and estimated trucking costs from fuel prices and wages.
Supervisors: Prof. Shoshana Vasserman; Prof. Stephen Redding
Generative AI and Creative Goods
Sep 2024 – Jun 2025
Research focus: The effects of generative AI on markets for creative goods.
My contribution
- Created image-title and tag embeddings and used them to predict image sales with a tuned random-forest model.
- Estimated generative-AI treatment effects using propensity-score matching and difference-in-differences.
Supervisor: Prof. Samuel Goldberg
Read the paper →