CV
A concise web version of my CV. Use the PDF icon to download the full version.
Basics
| Name | Amirreza Bagheridelouee |
| Label | Researcher at The Wharton School |
| amirbd@wharton.upenn.edu | |
| Phone | +1 (650) 444-4155 |
| Url | https://ambadal.github.io/ |
| Summary | Economics researcher working at the intersection of industrial organization, empirical market design, finance, and computational methods. |
Work
-
2026.07 - Present Philadelphia, PA
Researcher
The Wharton School, University of Pennsylvania
Research in economics, industrial organization, and market design.
-
2024.09 - 2026.06 Stanford, CA
Predoctoral Research Fellow
Stanford Graduate School of Business
Research projects on FIFA ticketing, congestion pricing and carpooling, electricity markets and data centers, port substitution, and generative AI in creative-goods markets.
-
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
Analyzed household survey data to study how Medicaid expansion affected stock-market participation and risky-asset holdings 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
Predoctoral Research Fellow (Non-matriculated Student)
Stanford Graduate School of Business
Economics
- Microeconomic Analysis I; Econometrics I-III; Game Theory, Data Science & AI; Reinforcement Learning; Convex Optimization I
-
2023.07 - 2023.08 London, UK
Summer School
London School of Economics and Political Science
Financial Risk Analysis and Advanced Corporate Finance
-
2019.09 - 2024.07 Tehran, Iran
Bachelor of Science
Sharif University of Technology
Computer Engineering, with a minor in Economics; GPA: 3.90/4.00
- Thesis: Metric Distortion Under Public-Spirited Voting
- Machine Learning; Social and Economic Networks; Econometrics; Industrial Organization; Financial Machine Learning; Financial Engineering
Publications
-
2024 Metric Distortion Under Public-Spirited Voting
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
With Marzieh Nilipour, Masoud Seddighin, and Maziar Shamsipour.
Projects
-
Financial Text Modeling in Julia
A dependency-light Julia suite for sentiment analysis, classification, topic modeling, word embeddings, and SEC-document preprocessing.
-
Crash Course Content Analysis
A reproducible NLP pipeline for corpus statistics, part-of-speech analysis, and keyphrase extraction across educational-video transcripts.
-
Online Food Delivery Simulation
A discrete-event simulation of priority queues, service capacity, timeouts, and utilization, with reproducible scenarios and automated tests.
-
Narratives and Herding: A Neuroeconomics Essay
A testable hypothesis linking narrative processing and herding behavior through shared neural mechanisms.
Awards
- 2019.07.30
Silver Medal, 51st International Chemistry Olympiad
International Chemistry Olympiad, Paris, France
- 2018.09.30
Gold Medal, 28th Iran National Chemistry Olympiad
Iran National Chemistry Olympiad, Tehran, Iran
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 |