Dropbox Paper

Alumni

​​Xinghao Qiao

​​Graduated in 2015

​​Thesis: Sparseness in functional data analysis

​​Starting Position: Assistant Professor of Statistics, London School of Economics

​​Pallavi Basu

​​Graduated in 2016

​​Thesis: Model selection principles and false discovery rate control

​​Starting Position: Assistant Professor of Operations Management, Indian School of Business

​​Courtney Paulson

​​Graduated in 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.

​​Luella Fu

​​Graduated in 2018

​​Thesis: Nonparametric empirical Bayes methods for large-scale inference

​​Starting Position: Assistant Professor of Mathematics, San Francisco State University

​​Weinan Wang

​​Graduated in 2019

​​Thesis: Large-scale multiple hypothesis testing and simultaneous inference: compound decision theory and data driven procedures

​​Starting Position: Research Scientist, Snap Inc.

​​Trambak Banerjee

​​Graduated in 2020

​​Thesis: Shrinkage methods for big and complex data analysis

​​Starting Position: Assistant Professor of Analytics, University of Kansas School of Business

​​Joshua Derenski

​​Graduated in 2021

​​Thesis: Estimation and Inference with Modern Panel Data Sets

​​Starting Position: Data Scientist, Universal Music Group

​​Bradley Rava

​​Thesis: Communicating uncertainty in the implementation and creation of fair machine learning algorithms

​​Graduated in 2022

​​Starting Position: Assistant Professor of Business Analytics, Sydney Business School

​​Simeng Shao

​​Graduated in 2022

​​Thesis: Statistical Leaning in High Dimensions: Interpretability, Inference and Applications

​​Starting Position: Amazon.com Inc.

​​Patrick Vossler

​​Graduated in 2022

​​Thesis: Nonparametric Ensemble Learning and Inference

​​Starting Position: Post doctoral researcher at Stanford University

​​Greg Faletto

​​Graduated in 2023

​​Thesis: Leveraging Sparsity in Theoretical and Applied Machine Learning and Causal Inference

​​Starting Position: Data Scientist at VideoAmp

​​Mohammad Mehrabi

​​Graduated in 2023

​​Thesis: Reliability and Robustness in Modern Statistical Learning

​​Starting Position: Post doctoral researcher at Stanford University

Xinghao Qiao

Graduated in 2015

Thesis: Sparseness in functional data analysis

Starting Position: Assistant Professor of Statistics, London School of Economics

Pallavi Basu

Graduated in 2016

Thesis: Model selection principles and false discovery rate control

Starting Position: Assistant Professor of Operations Management, Indian School of Business

Courtney Paulson

Graduated in 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.

Luella Fu

Graduated in 2018

Thesis: Nonparametric empirical Bayes methods for large-scale inference

Starting Position: Assistant Professor of Mathematics, San Francisco State University

Weinan Wang

Graduated in 2019

Thesis: Large-scale multiple hypothesis testing and simultaneous inference: compound decision theory and data driven procedures

Starting Position: Research Scientist, Snap Inc.

Trambak Banerjee

Graduated in 2020

Thesis: Shrinkage methods for big and complex data analysis

Starting Position: Assistant Professor of Analytics, University of Kansas School of Business

Joshua Derenski

Graduated in 2021

Thesis: Estimation and Inference with Modern Panel Data Sets

Starting Position: Data Scientist, Universal Music Group

Bradley Rava

Thesis: Communicating uncertainty in the implementation and creation of fair machine learning algorithms

Graduated in 2022

Starting Position: Assistant Professor of Business Analytics, Sydney Business School

Simeng Shao

Graduated in 2022

Thesis: Statistical Leaning in High Dimensions: Interpretability, Inference and Applications

Starting Position: Amazon.com Inc.

Patrick Vossler

Graduated in 2022

Thesis: Nonparametric Ensemble Learning and Inference

Starting Position: Post doctoral researcher at Stanford University

Greg Faletto

Graduated in 2023

Thesis: Leveraging Sparsity in Theoretical and Applied Machine Learning and Causal Inference

Starting Position: Data Scientist at VideoAmp

Mohammad Mehrabi

Graduated in 2023

Thesis: Reliability and Robustness in Modern Statistical Learning

Starting Position: Post doctoral researcher at Stanford University