معرفی
Meng-Chen Hsieh serves as Associate Professor of Management Sciences in the Department of Information Systems, Analytics and Supply Chain Management at Rider University's Norm Brodsky College of Business, where she teaches statistics and business analytics courses for undergraduate and graduate programs.
Her educational background includes a Ph.D. in Statistics from New York University's Stern School of Business, preceded by over eight years of applied research experience at IBM Research, Morgan Stanley, Credit Suisse, and Activision.
Dr. Hsieh's research program integrates financial econometrics with supply chain analytics, focusing on high-frequency data modeling and machine learning applications for business optimization.
- High Frequency Financial Econometrics
- Applied Time Series Models
- Time Series Models in Supply Chain Management
- Data-Driven Analytics for Business Decisions
Her publication record reveals consistent contributions to volatility modeling, portfolio optimization, and demand forecasting through advanced time series techniques, with recent work emphasizing machine learning integration in financial decision systems.
Research funding and recognition include:
- Davis Fellowship (Norm Brodsky College of Business, 2020-2022)
- Davis Fellowship (College of Business Administration, 2017-2019)
- Summer Research Fellowship (Rider University, 2017)
- Summer Research Fellowship (Rider University, 2016)
She has secured continuous research support through institutional fellowships at Rider University, enabling sustained investigation into financial time series and supply chain analytics applications.
