Li Zhu (2012)

Dissertation title: Some Optimal and Sequential Experimental Designs with Potential Applications to nanostructure Synthesis and Beyond.

Current position: Quantitative Researcher at Marshall Wace, London, United Kingdom.

Valeria Espinosa (2014) Co-advisor: Donald B. Rubin.

Dissertation title: A Bayesian Perspective on Factorial Experiments Using Potential Outcomes.

Current position: Quantitative Analyst at Google.

Arman Sabbaghi (2014) Co-advisor: Donald B. Rubin.

Dissertation title: Dilemmas in design: from Neyman and Fisher to 3D Printing.

Current position: Assistant Professor of Statistics, Purdue University.

 

Jonathan Hennessy (2014) Co-advisor: Mark Glickman.

Dissertation title: Topics in experimental and tournament design.

Current position: Quantitative Analyst, Google.

Peng Ding (2015) Co-advisors: Donald B. Rubin and Luke Miratrix

Dissertation title: Exploring the Role of Randomization in Causal Inference.

Current position: Assistant Professor of Statistics, University of California, Berkeley.

 

 

Jiannan Lu (2015) Co-advisor: Joseph Blitzstein.

Dissertation title: On Causal Inference for Ordinal Outcomes.

Current position: Senior Data Scientist at Microsoft.

 

 

Sobambo Sosina (2016) Co-advisor: Joseph Blitzstein.

Dissertation title: Analysis, Modeling, and Optimal Experimental Design under Uncertainty: From Carbon Nano-Structures to 3D Printing.

Current position: Data Scientist at Google.

 

 

Anqi Zhao (2016) Co-advisor: Joseph Blitzstein.

Dissertation title: Time for a new angle! Unravel the mystery of split-plot designs via the potential outcomes prism.

Current position: Assistant Professor of Statistics, National University of Singapore (starting Fall 2019).

 

Zach Branson (2019) Co-advisors: Luke Miratrix and Jose Zubizarreta.

Dissertation title: Innovations in Randomization Inference for the Design and Analysis of Experiments and Observational Studies.

Current position: Assistant Professor of Statistics, Carnegie Melon University (starting Fall 2019)