Qianru (Cheryl) Qi is an Assistant Professor of Finance in the Telfer School of Business at the University of Ottawa. Prior to joining Telfer, Professor Qi has conducted research and taught in the Stern School of Business at New York University, the Pratt School of Engineering at Duke University, and Fudan University, Shanghai, China. She has also served as a consultant for Morgan Stanley, New York and Citigroup, Shanghai.
Professor Qi is a financial economist who primarily studies financial and insurance technology. In addition, she studies the role technology plays in eliminating the inefficiencies in highly regulated industries such as banking, healthcare, and education. Her work has appeared in leading academic journals including Management Science and the Journal of Financial and Quantitative Analysis. Her research has been supported by the National Science Foundation in the US and the Chinese National Science Foundation as well as eight other national-level grants.
Professor Qi received her PhD in Financial Economics from Purdue University, her MS in Applied Mathematics from the University of Kaiserslautern, Germany, and her BS in Management Science from Beijing Normal University, China.
Professor Qi’s current research spans four areas: AI-powered business decision-making, the value of risk management and economic resilience, new business models to bring down drug prices, and field experiments of personalized education for soft skills development.
Financial/Insurance Technology, Healthcare Finance, Financial Intermediation, Risk Management, Mergers and Acquisitions, Data science
|2015-2016||Accelerating Translational Research and Commercialization in Scientific Parks||R||PI||$ 65,000|
|2014-2016||National Science Foundation of China||Trust Repair in Corporations: Experimental Approaches||F||PI||$ 36,000|
|2013-2015||Social Science Project of Fudan University||The micro-foundation of the real estate bubble||R||F||PI||$ 17,000|
|2011-2014||Social Science Foundation of Ministry of Education of China||The Impact of Information Disclosure on Top Managers' Incentives||R||F||PI||$ 10,000|
|NSF Small Business Innovation Research (SBIR) Program Phase 0||R||PI||$ 50,000|
|Machine learning for Network analysis: Evidence from Corporate Production Network||PI||$ 15,000|
C: Contract (R and D) | E: Equipment Grant | R: Research Grant | S: Support Award | P: Pedagogical Grant | O: Other, U: Unknown
C: Granting Councils | G: Government | F: Foundations | I: UO Internal Funding | O: Other | U: Unknown
PI = Principal Investigator | Co-I = Co-Investigator | Co-PI = Co-Principal Investigator