2019-2020 PhD ALUMNI

 

NAME:

Benjamin Ackerman

THESIS TITLE:

Statistical Methods for Transportability: Addressing External Validity and Measurement Error Concerns in Randomized Trials

ADVISOR:

Elizabeth Stuart

POSITION:

Janssen Pharmaceutical

 

 

NAME:

Stephen Cristiano

THESIS TITLE:

Modeling Cancer Risk from Genomic Data

ADVISOR:

Robert Scharpf

POSITION:

Oncology Center, Johns Hopkins School of Medicine

 

 

NAME:

Jacob Fiksel

THESIS TITLE:

Quantification Learning with Applications to Mortality Surveillance

ADVISOR:

Abhirup Datta

POSITION:

Vertex Pharmaceuticals

 

 

NAME:

Zhicheng (Jason) Ji

THESIS TITLE:

Statistical Methods for Decoding Gene Regulation in Single Cells

ADVISOR:

Hongkai Ji

POSITION:

Department of Biostatistics & Bioinformatics, Duke University

 

 

NAME:

Jordan Johns

THESIS TITLE:

Statistical Methods in Applications with Complex Data Structures

ADVISOR:

Ciprian Crainiceanu

POSITION:

Eli Lilly

 

 

NAME:

Prosenjit Kundu

THESIS TITLE:

Statistical Methods for Integrating Disparate Data Sources

ADVISOR:

Nilanjan Chatterjee

POSITION:

Pfizer

 

 

NAME:

Guanghao Qi

THESIS TITLE:

Statistical Methods for Analysis of Genome-Wide Association Studies across Multiple Traits

ADVISOR:

Nilanjan Chatterjee

POSITION:

Department of Biomedical Engineering, Johns Hopkins Whiting School of Engineering

 

 

NAME:

Zeyi Wang

THESIS TITLE:

Statistical Analysis of Functional Connectivity in Brain Imaging: Measurement Reliability and Clinical Applications

ADVISOR:

Brian Caffo

POSITION:

Division of Epidemiology & Biostatistics, UC Berkeley School of Public Health

 

 

NAME:

Yuchen Yang

THESIS TITLE:

Analyzing Benefit-Risk Data in the Presence of a Primary Endpoint and Secondary Measurements

ADVISOR:

Mei-Cheng Wang

CO-ADVISOR:

Michael Rosenblum

POSITION:

Department of Epidemiology & Biostatistics, University of Pennsylvania Perelman School of Medicine

 

 

 

 

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