PhD Alumni
2017
Advisor: Bin Yu & Jasjeet Sekhon
Dissertation: Predictive and Interpretable Text Machine Learning Models with Applications in Political Science |
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: Allan Sly
Dissertation: Phase Transitions of Random Constraints Satisfaction Problem |
2016
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 |
2015
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 |
2014
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 |
2013
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 |