Graduated 2015
Thesis
Sparseness in functional data analysis
Starting Position
Assistant Professor of Statistics, London School of Economics
Graduated 2016
Thesis
Model selection principles and false discovery rate control
Starting Position
Assistant Professor of Operations Management, Indian School of Business
Graduated 2016
Thesis
Optimizing penalized and constrained loss functions with applications to large-scale internet media selection
Starting Position
Assistant Professor of Business Analytics, University of Maryland School of Business
Graduated 2018
Thesis
Nonparametric empirical Bayes methods for large-scale inference
Starting Position
Assistant Professor of Mathematics, San Francisco State University
Graduated 2019
Thesis
Large-scale multiple hypothesis testing and simultaneous inference: compound decision theory and data driven procedures
Starting Position
Research Scientist, Snap Inc.
Graduated 2020
Thesis
Shrinkage methods for big and complex data analysis
Starting Position
Assistant Professor of Analytics, University of Kansas School of Business
Graduated 2021
Thesis
Estimation and Inference with Modern Panel Data Sets
Starting Position
Data Scientist, Universal Music Group
Graduated 2022
Thesis
Communicating uncertainty in the implementation and creation of fair machine learning algorithms
Starting Position
Assistant Professor of Business Analytics, Sydney Business School
Graduated 2022
Thesis
Statistical Learning in High Dimensions: Interpretability, Inference and Applications
Starting Position
Amazon.com Inc.
Graduated 2022
Thesis
Nonparametric Ensemble Learning and Inference
Starting Position
Postdoctoral Researcher, Stanford University
Graduated 2023
Thesis
Leveraging Sparsity in Theoretical and Applied Machine Learning and Causal Inference
Starting Position
Data Scientist, VideoAmp
Graduated 2023
Thesis
Reliability and Robustness in Modern Statistical Learning
Starting Position
Postdoctoral Researcher, Stanford University
Graduated 2025
Thesis
Advances in High Dimensional Statistics and Probability: Robust Linear Regression and Matrix Concentration Inequalities
Starting Position
Data Scientist, ZipRecruiter
Graduated 2025
Thesis
Unit-Level Inference and the Path to Personalization: New Age Statistical Shrinkage Methods for Customized Analysis
Starting Position
Data Scientist, Microsoft