معرفی
Dr. Ionut Florescu is a Research Professor in Financial Engineering at Stevens Institute of Technology, School of Business. He leads the Hanlon Financial Systems Lab and directs the Financial Technology and Analytics program. His expertise spans stochastic processes, high-frequency finance, reinforcement learning, and mathematical finance. Florescu holds a Ph.D. in Statistics from Purdue University (2004), and academic roles at Stevens since 2005 include Assistant Professor, Research Associate Professor, and current Research Professor. He advises numerous PhD students in Financial Engineering and Mathematical Sciences, focusing on topics like deep learning in finance and algorithmic trading.
Education:
- Bachelor's in Mathematics, University of Bucharest (1996)
- Master's in Stochastic Processes, University of Bucharest (1997)
- Master's in Computational Finance, Purdue University (2001)
- Ph.D. in Statistics, Purdue University (2004)
Research Interests: Stochastic processes in finance, high-frequency trading, volatility modeling, reinforcement learning applications, and interdisciplinary projects in geophysics and biomedical engineering. His work emphasizes mathematical modeling across diverse domains like cryptography and ocean studies.
Recent Articles Trends: Focus on algorithmic trading, liquidity analysis, and applications of machine learning in finance. Key areas include counterfactual explanations for credit ratings, batch auction market behavior, and multidimensional risk modeling.
Awards:
- I.W. Burr Award for Thesis Excellence (2005)
- Nvidia GPU Infrastructure Grant (2017)
- CME Foundation Grants (Totaling $185K)
- ERASMUS+ Mobility Award (2022)
Advising & Grants: Supervised over 30 PhD/Masters students. Secured NSF, CME, and industry grants totaling over $1M, including leadership in the NSF-CRAFT Center for financial technologies. Active in organizing conferences on high-frequency data modeling.
Labs & Teams: Director of the Hanlon Financial Systems Lab, a hub for fintech innovation. Collaborates with industry partners like UBS and CAPCO on projects like corporate credit rating systems and market simulation platforms (e.g., SHIFT).
