I am an Economics PhD student at Columbia University in New York where I am advised by Yeon-Koo Che. I am originally from Tel Aviv, but have lived in the Northeast most of my life.

My research interests primarily lie in industrial organization and applied microeconomic theory, with a particular focus on topics relevant to digital economics. Additionally, my work is motivated by and uses many tools from computer science. Sometimes I work on small projects contributing to fields in computer science relevant to my research interests in economics.

Publications

• The Perils of Exploration under Competition: A Computational Modeling Approach (w/ Kevin Liu, Alex Slivkins, Steven Wu)
  Proceedings of the 20th ACM conference on Economics and Computation (EC'19)

Work In Progress

• Predictive Model Performance and Data Privacy Regulation: Empirical Evidence from GDPR (w/ Yeon-Koo Che, Tobias Salz)
• Recommenders' Originals: Integrated Recommender Systems and Vertical Foreclosure (w/ Duarte Goncalves)

Short Computer Science Projects

• Training Data Poisoning in Imperfect Information Games (w/ Natania Wolansky, Jisha Jacob, Iddo Drori)
  Poster Presentation at the New York Academy of Sciences 13th Annual Machine Learning Symposium, 2019

At Columbia University, I was a teaching assistant for:

• Introduction to Econometrics for Simon Lee (Spring 2019)
• "Data TA" - help seminar and honors thesis students with programming and econometrics (Spring 2018)
• Economic Growth and Development for Xavier Sala-i-martin (Fall 2017)

Open Source Software

• PlanOut.js - A JavaScript port of Facebook's PlanOut Experimentation Framework
• react-experiments - React components for implementing UI experiments
• Scientist4J - A port of Github's Refactoring tool Scientist in Java
• Bandits.jl - Multi-armed bandit simulations in Julia

Industry Projects

• RequestNow, Press: Boston Globe
• Eureqa
• Sidekick by HubSpot
• HubSpot Workflows

• g.aridor___at___columbia.edu
• Department of Economics, 420 West 118th St., New York, NY 10027