Cristian Camilo Chica Castaño
Mathematician working where game theory meets machine learning.
I lead a 9-person data and AI engineering team at Dapper, building regulatory-intelligence infrastructure across 10+ markets in Latin America and the Middle East. My research studies how learning algorithms end up colluding on prices.
- PhD Mathematics, University of Minnesota
- Previously Quantitative Strategist, Morgan Stanley
- Research Assistant, Harvard Business School
Trajectory
Now
Dapper
Leading a 9-person team building RAG, agentic ETL and data-quality systems for regulatory data in 10+ markets.
Previously
Morgan Stanley
Quantitative Strategist: entity resolution, LLM-driven automation, firm strategy.
Research assistant
Harvard Business School
Research Assistant (2018–2021) to Jorge Tamayo and coauthors.
Foundation
PhD, Mathematics, University of Minnesota
Multi-agent reinforcement learning & algorithmic collusion.
Explore
My papers, CV and code.
Research
Papers on algorithmic collusion, two-sided markets, and dynamic pricing.
Projects
Product space & country space
Python notebooks to build product and country spaces from trade data. The code behind "Analysis of the Offshoring Network" and my master's thesis.
Regulatory data infrastructure
RAG, agentic ETL and data-quality systems for regulatory data across 10+ markets, built with the data and AI team at Dapper.
Work with me
Advising & collaborations
Open to advisory work, research collaborations and tutoring on:
- Algorithmic pricing and collusion risk
- Game-theoretic and IO modeling
- Data and LLM infrastructure for regulatory data
- Math tutoring (PhD level)