Applied Mathematics Instructor
, University of Washington, Department of Applied Mathematics, 1900
University of Washington, Department of Applied Mathematics: Computational Finance and Risk Management (CFRM) Program
- CFRM 405: Mathematical Methods for Quantitative Finance (Fall 2025; Fall 2026 scheduled)
- Lectured on analytical and computational methods used in financial modeling, with emphasis on problem solving and applications to quantitative finance; 90 students
- CFRM 521: Machine Learning for Finance (Spring 2026)
- Lectured on financial data processing, model training and evaluation, and reproducible implementation; 85 students
- Guided student projects on machine learning for financial data analysis
- CFRM 425: R Programming for Quantitative Finance (Winter 2026)
- Taught data manipulation, statistical computing, visualization, simulation, and reproducible workflows for financial applications; 25 students
- CFRM 590: Multiscale Financial Signal Processing (Fall 2025)
- Co-taught a special topics course with Prof. Tim Leung on multiscale methods for financial signal analysis; 25 students
- Seminar topics originating from research work on high-frequency financial data, intraday and overnight returns, market microstructure, time-series modeling, and signal extraction.