PhD Alumni


Advisor: David Aldous
Dissertation: Inference on Graphs: From Probability Methods to Deep Neural Networks
Advisor: Jim Pitman
Dissertation: Continuous paths in Brownian motion and related problems
Advisor: Yun S. Song
Dissertation: Demographic Inference from Large Samples: Theory and Methods


Advisor: Bin Yu
Dissertation: Leveraging latent structure in high-dimensional data: causality, neuroscience, and nonparametrics
Advisor: Allan Sly
Dissertation: Maximal Inequalities and Mixing Times
Advisor: Haiyan Huang, Elizabeth Purdom
Dissertation: Statistical Modeling and Analysis for Biomedical Applications
Advisor: Jon McAuliffe
Dissertation: Topics in large-scale statistical inference
Advisor: Benjamin Recht
Dissertation: Sparse Inverse Problems: The Mathematics of Precision Measurement
Advisor: Cari Kaufman and Deborah Nolan
Dissertation: Forecasting high-dimensional state-spaces in the presence of model error
Advisor: Bin Yu
Dissertation: Dictionary learning: analysis of spatial gene expression data and local identifiability theory


Advisor: Allan Sly
Dissertation: Lipschitz Embeddings of Random Objects and Related Topics
Advisor: Yun Song
Dissertation: One and Two Locus Likelihoods Under Complex Demography
Advisor: Bin Yu
Dissertation: Theoretical Analysis and Efficient Algorithms for Crowdsourcing
Advisor: Peter J. Bickel
Dissertation: Some Inference Problems in High-Dimensional Linear Models
Advisor: Elchanan Mossel
Dissertation: Influences in Voting and Growing Networks
Advisor: Haiyan Huang, Peter Bickel
Dissertation: Problems in Network Modeling: Estimating Edges and Community Detection


Advisor: Bickel and El Karoui
Dissertation: Topics in high dimensional statistics
Advisor: Michael I. Jordan
Dissertation: Clusters and Features from Combinatorial Stochastic Processes
Advisor: Martin Wainwright
Dissertation: High-dimensional statistics with systematic corruptions
Advisor: Elizabeth Purdom
Dissertation: Shrinkage of dispersion parameters in the double exponential family of distributions, with applications to genomic sequencing
Advisor: Mark van der Laan
Dissertation: Subsemble: A Flexible Subset Ensemble Prediction Method


Advisor: Bin Yu and Terry Speed
Dissertation: Predicitive models in neuroscience and bioinformatics
Advisor: Peter Bickel
Dissertation: Study on statistical theory of clustering and statistical inference on networks
Advisor: Peter Bickel
Dissertation: Covariance matrix estimation and variable selection in high dimension
Advisor: Nicholas Jewell
Dissertation: Longitudinal Cluster Analysis with Applications to Growth Trajectories
Advisor: Deborah Nolan and Jasjeet Sekhon
Dissertation: Applications of Integer Programming Methods to Solve Statistical Problems
Advisor: Cari Kaufman
Dissertation: Sensitivity Analysis of Stochastic Simulators with Information Theory
Advisor: Cari Kaufman
Dissertation: Bayesian Analysis in Problems with High Dimensional Data and Complex Dependence Structure
Advisor: Jasjeet Sekhon, Terry Speed
Dissertation: Essays on causal inference in randomized experiments
Advisor: Noureddine El Karoui and John Rice
Dissertation: Prediction Methods for Astronomical Data Observed with Measurement Error
Advisor: Elchanan Mossel
Dissertation: Isoperimetry and noise sensitivity in Gaussian space
Advisor: Bernd Sturmfels
Dissertation: Topics in Tropical Linear Algebra and Applied Probability


Advisor: Evans
Dissertation: Some Minorants and Majorants of Random Walks and Lévy Processes
Advisor: Speed and Stark
Dissertation: Removing Unwanted Variation from Microarray Data with Negative Controls
Advisor: Yu and Sekhon
Dissertation: Three Statistical Methods for the Social Sciences
Advisor: Yu
Dissertation: Sparse Models for Sparse Data: Methods, Limitations, Visualizations, and Ensembles
Advisor: Wainwright and Yu
Dissertation: Large-scale sparse regression models under weak assumptions
Advisor: Jordan
Dissertation: Graphs and Combinatorial Representations of Stochastic Processes
Advisor: Yu
Dissertation: Aerosol Retrieval Using Remote-sensed Observations