2017-2018 PhD ALUMNI

 

 

NAME:

Detian Deng

THESIS TITLE:

Scalable Semi-Parametric Methods in Biostatistics

ADVISOR:

Scott Zeger

POSITION:

ByteDance

 

 

NAME:

Yu Du

THESIS TITLE:

Statistical Methods in Clinical Trial Design

ADVISOR:

Michael Rosenblum

CO-ADVISOR:

Ravi Varadhan

CO-ADVISOR:

Vadim Zipunnikov

POSITION:

Eli Lilly

 

 

NAME:

Jack Fu

THESIS TITLE:

Statistical and Computational Methods for Investigating Human Genetic Variation via Sequencing Data

ADVISOR:

Ingo Ruczinski

CO-ADVISOR:

Jeffrey Leek

POSITION:

Harvard Medical School-Massachusetts General Hospital

 

 

NAME:

Emily Huang

THESIS TITLE:

Statistical Methods for the Fraction Who Benefit Using a Randomized Trial

ADVISOR:

Michael Rosenblum

POSITION:

Department of Mathematics & Statistics, Wake Forest University

 

 

NAME:

Dan Jiang

THESIS TITLE:

Adjustment Procedure to Permutation Tests in Epigenomic Differential Analysis

ADVISOR:

Hongkai Ji

POSITION:

LinkedIn

 

 

NAME:

David Lenis

THESIS TITLE:

Estimating Causal Effects with Non-Experimental Data

ADVISOR:

Elizabeth Stuart

POSITION:

Aetion

 

 

NAME:

Leslie Myint

THESIS TITLE:

Evidence-Based Methods in Studies of Biology and Data Analysis

ADVISOR:

Kasper Hansen

POSITION:

Department of Mathematics, Statistics & Computer Science, Macalester College

 

 

NAME:

Thomas Prior

THESIS TITLE:

Novel Statistical Methods in Conjoint Analysis and Pade Approximation of the Profile Likelihood

ADVISOR:

Charles Rohde

POSITION:

Johnson & Johnson

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Return to PhD Alumni List | Return to Home Page