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 – Aug 2026

  • Owned engineering improvements to quantitative research pipelines, fixing asset-history and missing-data handling, updating strategy configurations, and expanding tests 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 for research engineering, using structured prompts, iterative code review, failure-mode analysis, and test refinement to ship maintainable 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
  • Applied game-theoretic modeling to analyze validator incentive structures in blockchain layer-2 scaling 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

Chinese (Native) English (GRE 328) Japanese (Jtest 698)

Programming

Python C++ SQL R AWS Docker Git LLM-assisted Development

Interests

Swimming · Reading Non-fiction · Jazz Music


Download CV (PDF)