Students
Former PhD students, graduation year,
dissertation title, placement:
- Ruilong Yue, 2024. Global active subspace method. Wells Fargo, Charlotte.
- Alyssa Duan, 2023. Computational methods for estimating global sensitivity indices and
Shapley values. Wells Fargo, Charlotte.
- Yiran Chen, 2022. Simulation and goodness-of-fit tests of copulas. Citi, Tampa.
- Arun Polala, 2020. Multilevel Monte Carlo and debiased Monte Carlo Methods in Financial Engineering. Wells Fargo, NYC.
- Jamie Fox, 2020. Applications of Polynomial Chaos to Monte Carlo Simulation. Wells Fargo, Charlotte.
- Nima Salehy, 2019. Belief Function
Theory: Monte Carlo Methods and Applications to Stock Markets. Goldman Sachs, Dallas.
- Serdar Cellat, 2018. Metric Learning for
Shape Classification: A Fast and Efficient Approach with Monte
Carlo Methods. Amazon, Boston. (co-directed with Dr.
Washington Mio)
- Jian Wang, 2017. Ensemble Methods for
Capturing Dynamics of Limit Order Books. Byton, Santa Clara.
(co-directed with Dr. Jinfeng Zhang)
- Yu-Ying Tzeng, 2017. Quasi-Monte Carlo
and Markov Chain Quasi-Monte Carlo Methods in Estimation and
Prediction of Time Series Models. Assistant Professor,
Department of Risk Management and Insurance, National
Cheng-Chi University, Taiwan. (co-directed with Dr. Paul
Beaumont)
- David Mandel, 2017. Random Sobol'
Sensitivity Analysis and Model Robustness. J.P. Morgan,
NYC. (co-directed with Dr. Yousuff Hussaini)
- Linlin Xu, 2015. GPU Computing in Financial
Engineering. Barclays, NYC.
- Wei Yuan, 2015. Estimating Sensitivities
of Exotic Options Using Monte Carlo Methods. Wells Fargo,
Charlotte. (co-directed with Dr.
Kyounghee Kim)
- Nguyen Nguyet, 2014. Probabilistic
methods in estimation and prediction of financial models.
Assistant Professor of Mathematics, Youngstown State
University.
- Yaning Liu, 2013. Nonintrusive Methods
for Probabilistic Uncertainty Quantification and Global
Sensitivity Analysis in Nonlinear Stochastic Phenomena.
Postdoc, Lawrence Berkeley National Laboratory. (co-directed
with Dr. Yousuff Hussaini)
- Wanwan Huang, 2013. Stochastic Modeling
of Financial Derivatives. Assistant Professor of Mathematics,
Roosevelt University. (co-directed with Dr. Brian Ewald)
- Ibukun Amusan, 2013. Parameter Estimation
for a Stochastic Volatility Model with Coupled Additive and
Multiplicative Noise. Assistant Professor of Mathematics, Kentucky
State University. (co-directed
with Dr. Brian Ewald)
- Ahmet Göncü, 2009. Monte Carlo and
Quasi-Monte Carlo Methods in Financial Derivative Pricing.
Assistant Professor of Mathematics, Xi’an Jiaotong - Liverpool
University, China.
- Emmanuel Salta, 2008. Variance Reduction
Techniques in Pricing Financial Derivatives. Wilshire
Associates, Los Angeles.
- Manan Shah, 2008.
Quasi-Monte Carlo and Genetic Algorithms with Applications
to Endogenous Mortgage Rate Computation. Gaming
Laboratories, New Jersey. (co-directed
with Dr. Yevgeny Goncharov)
Honor's Student:
- Connor Jonston, 2023. Honors thesis: A Novel Monte Carlo Algorithm
for Pricing Barier Options. PhD student in industrial engineering at UF.
- Chace Gordon, 2016. Honors thesis:
Efficient Monte Carlo Simulation of Barrier Option Prices
under the Jump-Diffusion Framework. MS student in finance at
MIT.