Research
Three recurring threads in my work: algorithmic collusion, competition in two-sided markets with network externalities, and dynamic pricing.
01
Algorithmic collusion
When learning agents stop competing
Conditions under which Q-learning algorithms drift from competitive pricing into a tacit, supracompetitive equilibrium, and which equilibrium concepts support that behavior.
02
Two-sided markets
Two-sided markets with network externalities
How to model multi-homing and collusion in two-sided markets, and how network externalities affect pricing and consumer welfare.
03
Dynamic Pricing
The strategy underneath
When do firms offer long-term memberships versus short-term memberships, and how these tariffs affect consumer welfare and firm profits.
Research assistance
As a research assistant at Harvard Business School (2018–2021), I contributed to the following projects with Jorge Tamayo and coauthors (credited in the acknowledgments).