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Personal profile
Qualifications
PhD, Courant Institute of Mathematical Sciences, New York University
Research Interests
I am looking for motivated PhD students to conduct interdisciplinary research that bridges the fields of computer science, mathematics and economics. See details below.
I taught "Algorithmic Game Theory And Economics" in the summer school of Australian Mathematical Sciences Institute (AMSI) 2024. I am gradually updating the course materials and make them public in my webpage.
https://comp-math-econ.academy/amfgte/index.html
My general research interests span Algorithm Design & Analysis, Game Theory, General Equilibrium (Market) Theory and Discrete Mathematics. My current research foci are Computational Economics, Algorithmic Game Theory and Learning-in-Games. We employ algorithmic and mathematical techniques, coupled with economic theories, to study the dynamics in economic systems regarding their outcome qualities in terms of stability, efficiency and fairness. The application domains include both the classical Fisher and exchange economies, and the modern economies of attention markets (e.g., economic impact of recommender systems), gig economies (e.g., ride-sharing, food-delivery) and prediction markets.
Students who have excelled in advanced courses of one or more areas below are encouraged to contact me about PhD opportunities.
- Computer Science - Algorithms, Optimization, Theory of Computation, Machine Learning
- Mathematics - Dynamical Systems, Chaos Theory, Graph Theory, Combinatorics, Convex Analysis, Stochastic Analysis
- Economics - Game Theory, General Equilibrium Theory, Social Choice Theory
Research student supervision
- Registered to supervise
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Projects
- 1 Active
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Interactions of Human and Machine Intelligence in Modern Economic Systems
Xie, L. & Cheung, Y. K.
1/01/24 → 31/12/26
Project: Research