معرفی
Dr. Robert Kissell serves as a Clinical Assistant Professor and Finance and Business Economics area Coordinator at Fordham University's Gabelli School of Business, where he has held full-time faculty status since joining as an Adjunct Professor in Fall 2015. He teaches Algorithmic Trading, Fintech, and Investment Analysis courses while leveraging extensive industry experience from roles at UBS Securities, JP Morgan, Citigroup, and Instinet.
His academic credentials include a Ph.D. in Economics from Fordham University, an M.S. in Applied Mathematics from Hofstra University, and dual degrees from Stony Brook University: an M.S. in Business Management and a B.S. in Applied Mathematics & Statistics.
Dr. Kissell's research spans Quantitative Finance and Sports Analytics, with emphasis on practical applications of algorithmic trading strategies and predictive modeling. His work bridges theoretical economics with real-world financial and sports industry challenges, particularly in developing transparent trading frameworks and outcome prediction systems.
His publication record features two major award-winning papers that demonstrate cross-disciplinary innovation: the 2019 NBEA best paper on sports analytics and the 2012 Institutional Investor paper of the year on pre-trade modeling, establishing him as a thought leader in quantitative methodology.
Professional recognition includes:
- Institutional Investor’s paper of the year award (2012) for "Dynamic Pre-Trade Models: Beyond the Black Box"
- Northeast Business & Economics Association (NBEA) best paper award (2019) for "Predictive Sports Analytics"
Prior academic appointments include teaching positions at Cornell University, Molloy University, and Baruch College. The source material does not specify graduate student advising relationships, research grants, or dedicated research laboratories.
