Open to opportunities

Daniel Cao

@danielcao

Message

Econometrics and game theory instructor who turns data into actionable insights and fair solutions.

United States

Message

What I'm looking for

I’m looking for a role where I can apply econometrics, game theory, and statistical modeling to solve real problems, collaborate with a strong team, and communicate results clearly through data and models.

I’m an econometrics and quantitative economics Ph.D. candidate and instructor at The University of Kansas, with a research focus on game theory. I’ve taught Microeconomics, Macroeconomics, Game Theory, and Algebra across multiple semesters.

Previously, I worked as a Statistician with the Xuyenmoc District People’s Committee, where I led a team of 30 to collect and analyze data from 15,000+ individuals. I used SQL, Python, Excel, Tableau, and PowerPoint to redesign survey forms and improve data reporting for government agencies.

My research develops methods for integrating fragmented matching markets under regional balance constraints, aiming to improve welfare and fairness using a Pareto-improving cycle algorithm. I bring a disciplined, data-driven approach to modeling, analysis, and clear communication of quantitative results.

Experience

Work history, roles, and key accomplishments

Instructor

The University of Kansas

Jan 2020 - Jan 2025 (5 years)

Instructed economics courses including Game Theory (Spring 2023, Fall 2023, Spring 2024, Spring 2025), Microeconomics (Fall 2020, Fall 2021, Spring 2022, Fall 2022), and Macroeconomics (Fall 2020, Fall 2021, Spring 2022). Also taught Algebra (Fall 2025).

Game Theory Microeconomics Macroeconomics Algebra Economics Instruction

Statistician

Xuyenmoc District People's Committee

Jul 2014 - Mar 2018 (3 years 8 months)

Led a team of 30 to collect and analyze economic data from 15,000+ individuals, using SQL, Python, Excel, Tableau, and PowerPoint to generate insights for government agencies. Analyzed large financial/economic datasets to identify predictive signals and presented quantitative analyses and model performance metrics to support data-driven decisions.