Recent dissertations are here. Most, maybe all, of the older dissertations are available from
Katelyn Gao, 2017, Ph.D.
Scalable Estimation and Inference for Massive Linear Mixed Models with Crossed Random Effects
Going to Intel, deep learning
Minyong Lee, 2017, Ph.D.
Prediction and Dimension Reduction Methods in Computer Experiments
Going to AirBnB, data science
Jingshu Wang, 2016, Ph.D.
Factor Analysis for High-Dimensional Data
Went to Wharton, for a postdoc with Nancy Zhang.
Hera He, 2016, Ph.D.
Efficient Permutation-Based P-Value Estimation for Gene Set Tests
Went to Two Sigma.
Kinjal Basu, 2016, Ph.D.
Quasi-Monte Carlo Methods in Non-Cubical Spaces
Went to LinkedIn.
Yunting Sun, 2011, Ph.D.
On latent systemic effects in multiple hypotheses
Went to Knight Capital Group. Now at Google NYC.
Su Chen, 2011, Ph.D.
Consistency and convergence rate of Markov chain quasi-Monte Carlo with examples
Went to Two Sigma
Justin Dyer, 2010, Ph.D.
Visualizing and modeling joint behavior
of categorical variables with a large number of levels
Went to Waterfront International limited in Toronto.
Now at Google MTV.
Semi-supervised learning on graphs -- a statistical approach
Went to Microsoft to work on Bing. Now at LinkedIn.
Sarah Emerson, 2009, Ph.D
Small sample performance and calibration of the empirical likelihood method
Went to R. Betensky's lab at Harvard School of Public Health, for postdoc.
Now at Oregon State U in Corvallis.
Patrick Perry, 2009, Ph.D
Cross-validation for unsupervised learning
Went to P. Wolfe's lab at Harvard EE, for postdoc. Now at NYU.
Yiyuan She, 2008, Ph.D
"Sparse regression with exact clustering"
Went to Florida State University, Dept of Statistics
Seth Tribble, 2007, Ph.D
"Markov chain Monte Carlo algorithms using completely uniformly distributed driving sequences"
Went to Morgan-Stanley
Ruixue Liu, 2005, Ph.D
"New findings of functional anova with applications to computational finance and statistics" |
ACM digital library
Went to Goldman-Sachs
Xiaohu (Tom) Zhang 2005, Ph.D
"Stochastic sampling for antialiasing in computer graphics"
Went to Google
Tao Jiang, 2003, Ph.D
"Data driven shrinkage strategies for quasi-regression".
Went to Yahoo!
now at Google
Kristofer Jennings 2002, Ph.D
"On bias reduction using the bootstrap"
Went to Purdue University, now at
University of Texas
Jorge Picazo 2002, Ph.D
"Machine learning characterization of decision
boundaries in multi-dimensional American options".
Went to Capital One
then Credit-Suisse First Boston
now at Citadel.
Lingyu Chen, 2001, Ph.D
"Extensions of stochastic approximation for
high dimensional optimization, with applications to
investment allocation and experimental design"
Went to Intel
Christiane Lemieux, Post doc 2000
Yi Zhou, 1998, Ph.D
"Adaptive importance sampling for integration"
Went to Goldman-Sachs
Weidong Wang, 1997, Ph.D
"Adaptive metrology and mask inspection"
Went to Yield dynamics
Rong-Xian Yue, Post doc 1997
Now at Shanghai Normal University
Jing Qin, Post doc 1993
Now at NIAID
Jim Koehler, 1990, Ph.D
"Design and estimation issues in computer experiments"
Went to University
of Colorado at Denver Now at Google.