Skip to content Skip to navigation


Dissertations are held in the collections of
Stanford University Libraries.

Cohort: 2017-2018
Cohort Student Advisor Name Committee Names Dissertation
2017-2018 Joseph Arthur Wong Owen, Tang Detection and validation of genomic structural variation from DNA sequencing data
2017-2018 Cyrus DiCiccio Romano Taylor, Tibshirani Hypothesis Testing Using Multiple Data Splitting
2017-2018 Zhou Fan Montanari/Johnstone Candes Eigenvalues in multivariate random effects models
2017-2018 Kelvin Guu Liang (CS) Wong, Mackey, Manning (CS) Learning to generate text, programs (and beyond) from weak supervision
2017-2018 Ya Le Hastie Efron, Taylor Topics in statistical learning with a focus on large-scale data
2017-2018 Snigdha Panigrahi Taylor Tibshirani, Sabatti An approximation-based framework for post-selective inference
2017-2018 Kris Sankaran Holmes Switzer, Efron Discovery and Visualization of Latent Structure with Applications to the Microbiome
2017-2018 David Walsh Johari (MS&E) Efron, Owen How to design and analyze online A/B tests within decentralized organizations
Cohort: 2016-2017
Cohort Student Advisor Name Committee Names Dissertation
2016-2017 Edgar Dobriban Donoho Owen, Johnstone Topics in High-Dimensional Asymptotics
2016-2017 Murat Anil Erdogdu Montanari/Bayati Candes Stein's Lemma and Subsampling in Large-Scale Optimization
2016-2017 Julia Fukuyama Holmes Wong, Relman (Med) Multivariate Methods for the Analysis of Structured Data
2016-2017 Katelyn Xiang Gao Owen Tibshirani, Mackey Scalable Estimation and Inference for Massive Linear Mixed Models with Crossed Random Effects
2016-2017 Jack Gorham Mackey/Candes Owen Measuring Sample Quality with Stein's Method
2016-2017 Ruojun Huang Dembo Chatterjee, Diaconis Monotone interactions of random walks and graphs
2016-2017 Lucas Janson Candes Mackey, Hastie A model-free approach to high-dimensional inference
2016-2017 Bai Jiang Wong Lai, Diaconis Two Parameter Inference Methods in Likelihood-free Models: Approximate Bayesian Computation and Contrastive Divergence
2016-2017 Jiyao Kou Walther Lai, Siegmund Large-scale inference with block structure
2016-2017 Minyong Lee Owen Switzer, Taylor Prediction and dimension reduction methods in computer experiments
2016-2017 Haben Michael Tian Holmes, Siegmund Evaluating Diagnostics under Dependency
2016-2017 Scott Powers Tibshirani Friedman, Hastie Leveraging similarity in statistical learning