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.
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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.
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Arman Sabbaghi (2014) Co-advisor: Donald B. Rubin.
Dissertation title: Dilemmas in design: from Neyman and Fisher to 3D Printing.
Current position: Associate Professor of Statistics, Purdue University.
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Jonathan Hennessy (2014) Co-advisor: Mark Glickman.
Dissertation title: Topics in experimental and tournament design.
Current position: Quantitative Analyst, Google.
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Peng Ding (2015) Co-advisors: Donald B. Rubin and Luke Miratrix
Dissertation title: Exploring the Role of Randomization in Causal Inference.
Current position: Associate Professor of Statistics, University of California, Berkeley.
Jiannan Lu (2015) Co-advisor: Joseph Blitzstein.
Dissertation title: On Causal Inference for Ordinal Outcomes.
Current position: Data Scientist at Apple
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).
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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)
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Xiaokang Luo (current)
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Arun Ravichandran (current)
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