
Applied Economist
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Combine rigorous economic frameworks with practical data infrastructure to translate econometric models, forecasts, and insights from financial, survey, and text-based data into clear, decision-ready recommendations. Approachable, consultative style, building strong relationships with technical and non-technical partners.
Instructor at CARLETON UNIVERSITY (2026 – Present)
Teach master's-level course in financial econometrics, covering financial returns and time-series modeling, return predictability, CAPM, ARCH/GARCH and stochastic volatility, and risk management using Value-at-Risk. Integrate econometric theory with empirical applications in financial markets, including model estimation, hypothesis testing, forecasting, and evaluation of asset-pricing and risk models.
Principal Researcher at BANK OF CANADA (2024 – 2026)
Led advanced economic research, forecasting, and policy analysis on macroeconomic conditions, financial markets, and monetary policy using econometric and machine-learning methods to support senior-level decision-making. Provided technical leadership for cross-functional projects involving economists, data scientists, and policy stakeholders, and contributed to departmental projections and policy briefings for senior management.
Senior Economist at BANK OF CANADA (2020 – 2024)
Built and maintained econometric models, monitoring frameworks, reproducible data pipelines, and analytical tools in Python, R, Stata, and MATLAB. Monitored macroeconomic and financial developments, prepared briefing materials and analytical responses, and collaborated with internal teams and external stakeholders on research, projections, and policy-related analysis.
Teaching Assistant at UNIVERSITY OF CALIFORNIA SAN DIEGO (2014 – 2019)
Teaching Assistant at PEKING UNIVERSITY (2012 – 2012)
Doctor of Philosophy (PhD) in Economics – University of California, San Diego
Master of Arts (MA) in Economics – Peking University
Bachelor of Arts (BA) in Economics – Central University of Finance and Economics