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Dissertations are held in the collections of
Stanford University Libraries.

Cohort: 2019-2020
Cohort Student Advisor Name Committee Names Dissertation
2019-2020 Mona Azadkia Chatterjee Taylor, Bayati (GSB) A Nonparametric Measure of Conditional Dependence
2019-2020 Stephen Bates Candes Tibshirani, Wager Causal Inference in Genetic Trio Studies
2019-2020 Claire Donnat Holmes Friedman, Leskovec (CS) Statistics and Uncertainty Quantification in Graphs and Networks with Biomedical Applications
2019-2020 Rina Friedberg Athey (Econ) Owen, Hastie Topics in Machine Learning for Causal Inference with Applications in Social Science
2019-2020 Jelena Markovic Taylor Tibshirani, Romano Statistical methods for adaptive data analysis
2019-2020 Evan Patterson Candes Hastie, Chambers, Musen (Med/BDS) The Algebra and Machine Representation of Statistical Models
2019-2020 Junyang Qian Hastie Tibshirani, Rivas (BDS) Large-scale and High-dimensional Statistical Learning: Methods and Algorithms
2019-2020 Evan Rosenman Owen/Baiocchi Palacios Making Causal Conclusions from Heterogeneous Data Sources
2019-2020 Matteo Sesia Candes Sabatti, Tibshirani New Methods for Variable Importance Testing with Applications to Genetic Studies
2019-2020 Andy Tsao Diaconis Chatterjee, Charikar (CS) Sampling Methods for Perfect Bipartite Matchings
2019-2020 Jun Yan Dembo Chatterjee, Montanari Asymptotic Theory for Large Random Matrices and its Applications
Cohort: 2018-2019
Cohort Student Advisor Name Committee Names Dissertation
2018-2019 Rakesh Achanta Hastie Taylor, Tibshirani Boosting Like Path Algorithms for L1 Regularized Infinite Dimensional Convex Neural Networks
2018-2019 Yu Bai Duchi Montanari, Candes When do gradient methods work well in non-convex learning problems?
2018-2019 Nan Bi Taylor Tibshirani, Lai Topics in Selective Inference and its Application to Instrumental Variables
2018-2019 Alex Chin Ugander (MSE) Walther, Palacios Modern Statistical Approaches for Randomized Experiments Under Interference
2018-2019 Wenfei Du Tibshirani Taylor, Imbens (GSB) Some hierarchical and group regularization methods and applications
2018-2019 Leying Guan Tibshirani/Wong Efron Classification and testing under robust model assumptions
2018-2019 Eugene Katsevich Sabatti Candes, Montanari Multiple Testing with Structure and Exploration
2018-2019 Keli Liu Tibshirani Owen, Wager (GSB) A Computationally Conscious Search for Interactions
2018-2019 Jing Miao Lai Walther, Lu (BDS) Health and loan default risk analytics: Prediction models and their evaluation