🎓 Education
New York University — New York, U.S.A. Master in Quantitative Economics | Sep 2025 – Dec 2026
- Courses: Stochastic Calculus and Asset Pricing, Financial Computing (C++), Machine Learning
Central University of Finance and Economics — Beijing, China Master of Mathematics and Economics | Sep 2021 – Jun 2024
- Honors: Academic Scholarships, Best Graduation Thesis
- Courses: Advanced Econometrics, Advanced Financial Theory, Optimization Theory
💼 Work Experience
QED Trading — Florida, U.S.A. Quantitative Research Associate Intern | May 2026 – Present
- Owned engineering improvements to quantitative research pipelines, including asset-history handling, missing-data handling, strategy configuration updates, and test expansion for reliable backtests.
- Developed modular Python components for a daily crypto ML signal framework, integrating boosting models, cross-asset features, diagnostics, and signal-accuracy evaluation.
- Established an AI-assisted development workflow using structured prompts, iterative code review, failure-mode analysis, and test refinement to ship maintainable research-engineering changes.
Kronos Research — Remote Quantitative Researcher Intern | Dec 2025 – Feb 2026
- Researched and validated alpha signals in prediction markets, combining market microstructure analysis with systematic performance diagnostics.
- Developed a high-frequency trading system in Rust/Python, supporting data recording, replay, backtesting, and paper/live trading.
- Integrated on-chain and alternative data pipelines to enhance signal generation and risk monitoring.
Algobeats — Chengdu, China Quantitative Researcher (Full-time) | May 2024 – Aug 2025
- Modeled and priced Polymarket products using binary-option pricing frameworks; developed and monitored trading strategies based on valuation and risk signals.
- Built a systematic signal-testing and strategy-research framework on the firm’s high-frequency trading system, supporting tick-level analysis and execution diagnostics.
- Contributed to backtesting and paper-trading frameworks for medium-frequency cross-sectional and time-series strategies, enabling iterative strategy validation.
Renmin University of China — Beijing, China Research Assistant | Jul 2023 – Mar 2024
- Led literature review on blockchain and data factor markets, synthesizing macroeconomic and mechanism-design models for research stakeholders.
- Proposed a Bayesian game framework to analyze data-property-right allocation and evaluate welfare effects under heterogeneous growth assumptions.
🏆 Selected Honors & Awards
Best Graduation Thesis Award — Central University of Finance and Economics, May 2024
- Verifier’s Dilemma: A Game-Theoretic Analysis of Blockchain Layer-2 Scaling Solutions
- Incorporated game-theoretic modeling to analyze the incentives and challenges of blockchain layer-2 solutions.
Outstanding Paper in the Conference of Evolutionary Game Theory and AI — Beihang University, Jul 2023
- Reported on the “Public Welfare Analysis Based on Multiplied Dictator Game and Ultimatum Game”.
🛠 Skills & Languages
Languages
Programming
🎵 Interests
Swimming · Reading Non-fiction · Jazz Music