معرفی
Dan Ren is an Associate Professor in the Department of Mathematics at the University of Dayton, College of Arts and Sciences. She joined the university in 2013 as a full-time faculty member and has since been actively contributing to research in financial mathematics and stochastic analysis.
Education:
- Ph.D. in Mathematics, Boston University, 2013
- M.S. in Mathematics, New Mexico State University, 2008
- B.S. in Mathematics, Beijing Normal University, 2004
Her research focuses on Financial Mathematics, Stochastic Control and Analysis, and Optimal Stopping. These areas involve modeling uncertainty in financial markets, optimizing investment strategies under risk, and determining optimal decision times in dynamic environments. Her work often employs regime-switching models, stochastic volatility, and transaction cost frameworks to reflect real-world market complexities.
The recent publications (2012–2025) demonstrate a strong focus on portfolio optimization, consumption-investment problems, shortfall aversion, and optimal stopping under stochastic models. These works frequently apply advanced techniques from stochastic differential equations, Markov processes, and dynamic programming, indicating a deep integration of theoretical mathematics with financial applications.
Scientific Awards:
Dan Ren advises students and contributes to academic mentoring, though specific names of advisees are not listed. She has not received any externally mentioned grants in the provided text. Her academic service includes active research and teaching within the mathematics department, contributing to both graduate and undergraduate education in quantitative finance and applied probability.
There is no mention of specific labs or research teams led by Dr. Ren in the provided information. However, her publication record suggests collaboration within mathematical finance circles and possible affiliation with research groups focused on stochastic modeling and financial engineering at the University of Dayton.
