Our most recent graduates will now embark on new careers, continue research, or continue their education pursuing advanced degrees.  Here is a sample of their exceptional work in the program and their future plans. 

Pinyan Liu, MS

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• Program: MS Capstone
• Future Plans: Currently working as a Research Assistant, School of Public Health, China University of Hong Kong and will be applying to PhD programs in the future
• Project: “Developing Proxy Measures for Functional Limitations Due to Back Pain to Improve Treatment Outcomes”
• Advisor: Adam Szpiro

Yichen Lu, MS

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• Program: MS Capstone
• Future Plans: Senior Quantitative Data Analyst, Flatiron Health
• Project: “Using Administrative Data to Identify Cancer Cases for Research” 
• Advisor: Adam Szpiro

Yunbi Nam, MS

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• Program: MS Capstone
• Future Plans: Research Scientist, Collaborative Health Studies Coordinating Center (CHSSC)
• Project: “Using Hyper-local Air Pollution Data to Advance Environmental Justice” 
• Advisor: Adam Szpiro

Yitao Wu, MS

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• Program: MS Capstone
• Future Plans: Data Scientist, Travelers Insurance Company, MN
• Project: “Developing Proxy Measures for Functional Limitations Due to Back Pain to Improve Treatment Outcomes” a to Identify Cancer Cases for Research” 
• Advisor: Adam Szpiro

Yuhan Wang, MS 

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• Program: MS Capstone
• Future Plans: Healthcare Analyst, Analysis Group
• Project: “Using Hyper-local Air Pollution Data to Advance Environmental Justice”
• Advisor: Adam Szpiro

Ziyuan Wang, MS

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• Program: MS Capstone
• Future Plans: Pursuing a PhD in Epidemiology, University of Pittsburgh
• Project: “Using Administrative Data to Identify Cancer Cases for Research” 
• Advisor: Adam Szpiro

Joanna Xiao, MS 

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• Program: MS Capstone
• Future Plans: Biostatistician, Cytel Corporation
• Project: “Developing Proxy Measures for Functional Limitations Due to Back Pain to Improve Treatment Outcomes” 
• Advisor: Adam Szpiro

Wenbo Zhang, MS 

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• Program: MS Capstone
• Future Plans: Pursuing a PhD in Statististics, University of California Irvine
• Project: “Using Hyper-local Air Pollution Data to Advance Environmental Justice” 
• Advisor: Adam Szpiro

Jacob Alfieri, MS

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• Program: MS Thesis
• Future plans: Data Scientist, JPMorgan Chase and Co
• Thesis: “New Applications of a Genetic Record Linkage Method”
• Advisor: Bruce Weir

Iris Emerman, MS

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• Program: MS Thesis
• Future plans: Biostatistician, Seattle Children’s
• Thesis:  “Addressing Unmeasured Confounding in a Vaccine Safety Surveillance Study Through the Use of Negative Control Variables”
• Advisor: Jennifer Nelson

Ningxin Ma, MS

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• Program: MS Thesis
• Future plans: Statistical Research Associate, Fred Hutchinson Cancer Research Institute
• Thesis: “Effects of HAART and Time on the Beta Diversity of Breast Milk Microbiome in HIV-infected Postpartum Women”
• Advisor: Barbra Richardson

 Natalie Gasca, PhD

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• Program: PhD
• Future plans: Fellow, California Council on Science and Technology
• Thesis: “Sparse Partial Least Squares Methods and Extensions for Modeling Heart-Healthy Diets”
• Advisor: Robyn McClelland

Aaron Hudson, PhD

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• Program: PhD
• Future Plans: Postdoc, University of California Berkeley, developing methods for clinical trials with adaptive designs
• Thesis: “Statistical Inference for Interactions and Infinite-Dimensional Estimands”
• Advisor: Ali Shojaie

Chloe Krakauer, PhD

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• Program: PhD
• Future Plans: Collaborative Biostatistician at Kaiser Permanente Washington Health Research Institute
• Dissertation: “Leveraging Decision Theory to Address Statistical Challenges and Regression Under Additive Nonignorable Missingness”
• Advisor: Ken Rice and Mauricio Sadinle

Kendrick Li, PhD

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• Program: PhD
• Future plans: Postdoc, Department of Biostatistics, University of Michigan, working on negative control in HIV/AIDS studies 
• Dissertation: “Methods for Agnostic Statistical Inference”
• Advisor: Ken Rice

Hongxiang David Qui, PhD

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• Program: PhD
• Future plans: Post-doc, Department of Statistics, University of Pennsylvania
• Dissertation: “In Pursuit of Automated Statistical Inference Under Minimal Assumptions Using Machine Learning Tools”
• Advisors: Marco Carone and Alex Luedtke

Jiacheng Wu, PhD

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• Program: PhD
• Future plans: Data scientist, Facebook (Seattle)
• Dissertation: “Statistical Methods for Surrogacy and Hypothesis Testing in HIV Research”
• Advisor: Ying Qing Chen

Yunhua Xiang, PhD

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• Program: PhD
• Future plans: Research Scientist, Google
• Dissertation: “Methods and Theory for Nonparametric Inference in High-dimensional Settings”
• Advisors: Noah Simon

Qian Sophia Zhang, PhD

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• Program: PhD
• Future plans: Residency, Internal Medicine, University of Pittsburgh
• Dissertation: “Statistical Genetic Methods and Applications for Population Structure”
• Advisor: Bruce Weir