Research · Industry · Teaching

Experience

A detailed record of my work across embodied intelligence, quantitative research, financial data science, and teaching.

Research

Embodied intelligence

Jun. 2026 - Sep. 2026

Nanjing, China

Research Intern

Nanjing University · R&L Research Group

  • Contribute to embodied agent loops that connect task reasoning, visual feedback, skill selection, execution, and structured memory.
  • Work with AdaClearGrasp and EmbodiedClaw on robotic-arm manipulation, closed-loop tabletop tasks, and agent execution workflows.
  • Explore algorithmic questions in dexterous-hand control and the relationship between high-level planning and low-level robotic behavior.

Industry

Data science & finance

Jul. 2025 – Dec. 2025

Shanghai, China

Financial Engineering Intern

Soochow Securities Research Center

  • Constructed event-window stock pools and fund-performance factors using analyst upgrades and major restructuring events.
  • Built a forward-looking active-management metric from portfolio weights and performance factors, incorporating incomplete holdings with half-life weighting.
  • Backtested decile portfolios and a Top-50 strategy; also developed an ETF index-enhancement workflow using clustering and rolling tracking-error optimization.

Dec. 2024 – Jan. 2025

Nanjing, China

Data Management Intern

China Construction Bank, Jiangsu Branch

  • Contributed to risk-control work involving anomaly detection, fraud prevention, and real-time data processing.
  • Built customer default-risk models for the CCB AI Competition using 24,000 customer profiles and six months of repayment data; the AdaBoost model reached 0.99 AUC and 0.95 F1.
  • Developed a multiclass model for fund-investment preferences across approximately 500,000 potential clients, using down-sampled LightGBM data.

Teaching

Peer learning

Sept. 2025 – Present

New York, NY

Peer Tutor · Data Structures

New York University

  • Mentored more than ten students in recursion, abstract data types, complexity analysis, algorithms, and their implementation in Java.
  • Led weekly online and in-person sessions combining conceptual review with hands-on coding practice.