Current PhD students

• Valerie N P Ho

Graduated PhDs and Postdocs

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

• Dan Kluger
• Sifan Liu
• Zexin Pan
• Harrison Li
• Tim Morrison
• Ben Seiler 2023, Ph.D.
  Applications of cooperative game theory to interpretable machine learning
• Christopher Hoyt 2023, Ph.D.
  Statistical explorations of deterministic functions
• Swarnadip Ghosh 2022, Ph.D.
  Scalable inference for crossed random effects models
• 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 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.
• Ya Xu 2010, Ph.D.
  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. 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 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.