CV

A concise web version of my CV. Use the PDF icon to download the full version.

Profile

Name Amirreza Bagheridelouee
Label Researcher at The Wharton School
Email amirbd@wharton.upenn.edu
Phone +1 (650) 444-4155
Website https://ambadal.github.io/
Summary Researcher at The Wharton School with a background in computer engineering and economics, and interests in industrial organization and empirical market design. My research experience combines large-scale data analysis, econometrics, machine learning, and computational modeling to study markets and the effects of technology.

Research & Professional Experience

  • 2026.07 - Present

    Philadelphia, PA

    Researcher
    The Wharton School, University of Pennsylvania

    Working with faculty in the Marketing Department at The Wharton School.

  • 2024.09 - 2026.06

    Stanford, CA

    Predoctoral Research Fellow
    Stanford Graduate School of Business

    Selected research projects

    FIFA Ticketing

    Sep 2025 – Jun 30, 2026

    • 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

    • 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. Paper

    Power Plants, Transmission Lines, and Data Centers

    Jul 2025 – Sep 2025

    • 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 and Prof. Omer Karaduman.

    Port Substitution and Congestion in the Container Shipping Industry

    Sep 2024 – Jun 2025

    • 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 and Prof. Stephen Redding.

    Generative AI and Creative Goods

    Sep 2024 – Jun 2025

    • 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. Paper

  • 2023.08 - 2024.08

    Tehran, Iran

    Research Assistant
    Tehran Institute for Advanced Studies

    Established upper and lower distortion bounds for voting rules under public-spirited preferences with Prof. Masoud Seddighin.

  • 2023.02 - 2023.05

    Remote

    Research Assistant
    National University of Singapore

    Studied Medicaid expansion and household stock-market participation and risky-asset holdings using survey data with Prof. Poorya Kabir.

  • 2022.06 - 2022.09

    Tehran, Iran

    Algorithmic Trading Intern
    Danesh Co.

    Developed sentiment-based trading signals from social-media discussions of the stock market.

Education

  • 2024.09 - 2026.06

    Stanford, CA

    Stanford Graduate School of Business
    Predoctoral Research Fellow (Non-matriculated Student)
    Economics
    • Coursework: Microeconomic Analysis I (MGTECON 600); Intermediate Econometrics I–III (ECON 270–272); Game Theory, Data Science & AI (MS&E 233); Reinforcement Learning (CS 234); Convex Optimization I (EE 364A).

    Transcript

  • 2019.09 - 2024.07

    Tehran, Iran

    Sharif University of Technology
    Bachelor of Science
    Computer Engineering, with a minor in Economics; GPA: 3.90/4.00
    • Thesis: Metric Distortion Under Public-Spirited Voting
    • Selected coursework: Differential Equations; Linear Algebra; Numerical Computation; Artificial Intelligence; Game Theory; Machine Learning; Social and Economic Networks; Advanced Information Retrieval; Design of Algorithms; Financial Machine Learning; Financial Engineering; Theory of Languages and Automata; Computer Simulation.

    Transcript

  • 2023.07 - 2023.08

    London, UK

    London School of Economics and Political Science
    Summer School
    Analysis and Management of Financial Risk; Advanced Corporate Finance

    Transcript

Publications

Projects

Awards

Teaching Experience

  • 2021 - 2024
    Teaching Assistant
    Sharif University of Technology
    • Led TA problem-solving sessions, designed assignments and lectures, and graded homework.
    • Courses: Game Theory; Financial Economics; Econometrics; Principles of Economics; Microeconomics; Data Structures and Algorithms.
  • 2018 - 2022
    Chemistry Olympiad Teacher
    Sampad High Schools

    Part-time instructor

Skills

Programming
Python
Julia
R
C/C++
Java
Stata
Data and machine learning
pandas
NumPy
scikit-learn
statsmodels
TensorFlow
PyTorch
GeoPandas
Tools
Git
LaTeX
Slurm
SQL
Redivis
Google Cloud APIs

Languages

Persian
Native
English
Fluent
Arabic
Limited
French
Elementary