Visiting Research Fellow
Sponsored by the Jeanne and Dan Valente Center and Math Sciences
Victor Lo
Victor S.Y. Lo is a visiting research fellow in the Valente Center for Arts and Sciences at Bentley University. He is expected to organize and attend virtual analytics seminars jointly with Professor Dominique Haughton. He is open to any research collaboration opportunities with faculty members and students at Bentley. While his educational background is in statistics and operations research, his industrial experience includes applying analytics to Marketing, Human Resources, Finance and Risk Management.
Victor is also vice president at Fidelity Investments in Boston, where he has been responsible for financial econometrics, risk management, marketing analytics and customer data mining. Previously, he was vice president and manager of modeling and analysis at FleetBoston Financial, and senior associate at Mercer Management Consulting. Victor has managed quantitative analysts in multiple organizations. In addition to analytics, his work includes bridging the gap between data miners, business analysts, financial and marketing executives by recommending and applying novel techniques and state-of-the-art tools to improve business strategies and risk management.
Victor has a master degree in Operational Research from University of Lancaster, UK, and a PhD in Statistics from the University of Hong Kong. He also received postdoctoral training in Management Science from University of British Columbia. His academic research included applications of probability, statistical, and optimization models in gambling, sports, marketing and quality engineering. Further, he co-authored a graduate level econometric book on horse-racing and published articles in marketing, data mining, statistics, and management science literature. Additionally, he is on the steering committe of the Boston Chapter for INFORMS (the Institute for Operations Research and the Management Sciences) and on the editorial board for two academic journals. He is a member of INFORMS, ASA (American Statistical Association), AFA (American Finance Association), and RSS (Royal Statistical Society).
