PhD Exams

June 2026
Exam Type Speaker Title Time
General Simon Nguyen Improvements in Active Learning with Adaptive Weighting and Structural Diversity
May 2026
Exam Type Speaker Title Time
General Leon Tran Topics in fast and flexible statistical inference
General Qijia He Causal inference with post-randomization events
Final Shreya Prakash Statistical Advancements in Causal Discovery for Real-World Applications
General Ethan Ancell Contributions to selective inference: post selection inference with a single realization of a network, and a unified perspective for tests of differences in means after clustering matrix-variate Gaussian data
February 2026
Exam Type Speaker Title Time
General Alana Mcgovern Bayesian small area estimation methods for unplanned domains using complex survey data
January 2026
Exam Type Speaker Title Time
General Lars Van Der Laan Improved Debiased Machine Learning through Optimization and Calibration
November 2025
Exam Type Speaker Title Time
General Medha Agarwal Learning and Inference with Limited Data: Applications in Ecology and Causal Inference
Final James Buenfil Integrative Analysis of Non-Euclidean Data
General Lars Van Der Laan Improved Debiased Machine Learning through Optimization and Calibration
October 2025
Exam Type Speaker Title Time
General Alex March Kokot Coreset selection for the Sinkhorn divergence and generic smooth divergences
Final Jillian Fisher Statistical Methods towards Trustworthy AI: From Diagnosis to Control and Societal Implications
August 2025
Exam Type Speaker Title Time
Final Daniel Suen Topics in Estimation and Inference with Multivariate Missing Data
July 2025
Exam Type Speaker Title Time
Final Alex Ziyu Jiang Bayesian Nonparametric Methods for Complex Datasets
Final Sara Laplante Causal Effect Identification via Equivalence Classes of Acyclic Graphs and Data-Driven Adjustment
June 2025
Exam Type Speaker Title Time
Final Trinity Shuxian Fan Survey-Based Methodologies for Enhanced Assessment of Cause of Death
Final Jess Kunke Leveraging network information to improve population size estimation in social and environmental applications
Final Ronak Mehta Statistical Foundations of Foundation Modeling
Final Kenny Zhang Bounds and Prediction Intervals for Individual Treatment Effect
General Ronan Perry Topics in Selective Inference