Students
Recent dissertations are here. Most, maybe all, of the older dissertations are available from
Proquest

Evan Rosenman, 2020, Ph.D.
Making Causal Conclusions from Heterogeneous data sources
Went to Biden 2020 campaign, then Harvard data science postdoc

Katelyn Gao, 2017, Ph.D.
Scalable Estimation and Inference for Massive Linear Mixed Models with Crossed Random Effects
Went to Intel, deep learning

Minyong Lee, 2017, Ph.D.
Prediction and Dimension Reduction Methods in Computer Experiments
Went to AirBnB, data science, now

Jingshu Wang, 2016, Ph.D.
Factor Analysis for HighDimensional Data
Went to Wharton, for a postdoc with Nancy Zhang.

Hera He, 2016, Ph.D.
Efficient PermutationBased PValue Estimation for Gene Set Tests
Went to Two Sigma.

Kinjal Basu, 2016, Ph.D.
QuasiMonte Carlo Methods in NonCubical 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 quasiMonte 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.

Ya Xu
2010, Ph.D.
Semisupervised 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
Crossvalidation for unsupervised learning
Went to P. Wolfe's lab at Harvard EE, for postdoc. Now at NYU.
Web page

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 MorganStanley

Ruixue Liu, 2005, Ph.D
"New findings of functional anova with applications to computational finance and statistics" 
ACM digital library
Went to GoldmanSachs

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 quasiregression".
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 multidimensional American options".
Went to Capital One
then CreditSuisse 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 GoldmanSachs

Weidong Wang, 1997, Ph.D
"Adaptive metrology and mask inspection"
Went to Yield dynamics

RongXian 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.