Experience
Research, teaching, and industry roles.
Research
- Collected, cleaned, and analyzed diverse large-scale datasets across multiple projects using Python, MATLAB, and Stata, including historical bilateral trade records (1925–1955), firm-level return-to-office policy data, geolocation and Wi-Fi traffic data tracking consumer behavior, housing transaction records, and drug utilization datasets.
- Applied causal inference methods to identify program effects on firms, labor, health, and economic outcomes; built fully reproducible pipelines with publication-quality visualizations, robustness checks, and placebo tests.
- Merged and harmonized data from heterogeneous sources—survey microdata, administrative records, web-scraped behavioral data—to construct analysis-ready datasets.
Teaching
- Sole instructor of record; independently designed syllabus, lectures, assignments, and exams for undergraduate students. Held weekly office hours and provided individualized feedback throughout the semester.
- Led MATLAB lab sessions on time-series modeling, OLS, and Monte Carlo simulation for graduate students.
- Supported instruction across Intermediate Microeconomics, Macroeconomics, Health Economics, and Real Estate Fundamentals; graded assignments and held office hours and review sections.
Industry
- Managed investment strategies and risk assessments for about ¥100M AUM across private clients portfolio; developed customized financial plans using quantitative analysis (OLS modeling, VaR) and qualitative risk profiling.
- Prepared and presented portfolio performance reports and market outlook analyses to senior advisors and high-net-worth clients.
- Supported corporate clients with compliance filings (trademark registration, tax filing, business registration) and liaised with regulatory agencies to resolve documentation issues.
- Summarized compliance findings and filing status updates for client-facing teams, enabling timely resolution of outstanding regulatory requirements.
Conferences & talks
- SEA Conference — November 2025
- National Tax Association Annual Conference — November 2025
- ASHEcon Conference — June 2023
- Organizer, Labor Lunch, Economics Department, Purdue University — 2024 (coordinated weekly research seminars)
Professional development
- IBM Data Science Professional Certificate, July 2026
- Stanford — Machine Learning Specialization, April 2026
- Workshop on Mechanism Design, Social Choice, and AI — April 2026
Awards & recognition
- Economics Research Micro-Grant, 2025
- Distinguished Teaching Award, Purdue University, 2025
- State Outstanding Graduates Award (top 3 of 200), 2020
- First Prize, Product Design and Company Operations, Paris 2020
- First-class Scholarship, Shandong University of Finance and Economics, 2017 & 2019
- National Third Place, Graduate Risk Management Scheme Design Competition, 9th Risk Management & Actuarial Forum, 2018
- First Prize, Ergo-life Health Insurance Products Design Contest, 2018