PAST POSTDOCTORAL FELLOWS

 

NAME:

G. Brooke Anderson

RESEARCH PROJECT:

Statistical Methods for Complex Environmental Health Data

ADVISOR:

Roger Peng

TRAINING PERIOD:

2011-2014

POSITION:

Department of Environmental and Radiological Health Sciences, Colorado State University

 

 

NAME:

Christopher Barr

RESEARCH PROJECT:

Preprocessing & Analysis Tools for Contemporary Microarray Application

ADVISOR:

Rafael Irizarry

TRAINING PERIOD:

2008-2009

POSITION:

Varadero Capital

 

NAME:

Kiros Berhane

RESEARCH PROJECT:

Particle Epidemiology Evaluation Project

ADVISOR:

Scott Zeger

TRAINING PERIOD:

1994-1995

POSITION:

Department of Biostatistics, Columbia University Mailman School of Public Health

 

 

 

NAME:

Leandros Boukas

RESEARCH ROJECT:

Bioconductor for Analysis and Comprehention of the Human Cell Atlas Resources

ADVISOR:

Kasper Hansen

TRAINING PERIOD:

2020-2022

POSITION:

Children's National Hospital

 

 

NAME:

Yen-Feng Chiu

RESEARCH PROJECT:

Statistical Methods for Genetic Epidemiology

ADVISOR:

Kung-Yee Liang

TRAINING PERIOD:

1999-2000

POSITION:

National Health Research Institutes Division of Biostatistics and Bioinformatics, Taipei, Taiwan

 

NAME:

Carlo Colantuoni

RESEARCH PROJECT:

Use of Protein-Protein Interactions in the Analysis of Gene-Expression Data

ADVISOR:

Scott Zeger

TRAINING PERIOD:

2001-2003

POSITION:

Department of Neurology, Johns Hopkins School of Medicine

 

NAME:

Rebecca (Yates) Coley

RESEARCH PROJECT:

inHealth

ADVISOR:

Scott Zeger

TRAINING PERIOD:

2014-2016

POSITION:

Kaiser Permanente Washington Health Research Institute

 

NAME:

Hector Corrada Bravo

RESEARCH PROJECT:

Preprocessing & Analysis Tools for Contemporary Microarray Application

ADVISOR:

Rafael Irizarry

TRAINING PERIOD:

2008-2010

POSITION:

Genentech

 

NAME:

Julia Crook (Kelsall)

RESEARCH PROJECT:

Particle Epidemiology Evaluation Project

ADVISOR:

Scott Zeger

TRAINING PERIOD:

1995-1996

POSITION:

Mayo Clinic Jacksonville, Jacksonville, Florida

 

NAME:

Frank Curriero

RESEARCH PROJECT:

Health Effects of Climate Change for the US Integrated Assessment of the Public

ADVISOR:

Subhash Lele

TRAINING PERIOD:

1997-1999

POSITION:

 

Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health

 

NAME:

Ivan Diaz

RESEARCH PROJECT:

iHealth; Causal Inference

ADVISOR:

Michael Rosenblum

TRAINING PERIOD:

2013-2015

POSITION:

NYU Grossman School of Medicine

 

NAME:

Fang Du

ADVISOR:

Hongkai Ji

TRAINING PERIOD:

2013-2014

POSITION

Covance

 

 

NAME:

Diptavo Dutta

RESEARCH PROJECT:

Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk Prediction

ADVISOR:

Nilanjan Chatterjee

TRAINING PERIOD:

2019-2022

POSITION:

Division of Cancer Epidemiology & Genetics, NCI

 

NAME:

Shannon Ellis

RESEARCH PROJECT:

Statistical Models for Biological and Technical Variation in RNA Sequencing

ADVISOR:

Jeffrey Leek

TRAINING PERIOD:

2016-2018

POSITION:

Department of Cognitive Science, UCSD

 

NAME:

Ani Eloyan

RESEARCH PROJECT:

Statistical Methods for Large N and P Problems

ADVISOR:

Brian Caffo

TRAINING PERIOD:

2010-2013

POSITION:

Department of Biostatistics, Brown School of Public Health

 

NAME:

Felicity Boyd Enders

RESEARCH PROJECT:

Biostatistics Mental Health/Psychiatry Training Program

ADVISOR:

Marie Diener-West

TRAINING PERIOD:

2002-2004

POSITION:

Division of Biostatistics, Department of Health Sciences Research, Mayo Clinic

 

 

 

 

NAME:

Michal Engelman

RESEARCH PROJECT:

Epidemiology and Biostatistics of Aging Training Program

ADVISOR:

Karen Bandeen-Roche

TRAINING PERIOD:

2010-2011

POSITION:

Department of Sociology, University of Wisconsin

 

NAME:

Farzad Farahani

RESEARCH PROJECT:

Personalized Spatiotemporal Hemodynamic Response Models for Functional Magnetic Resonance Imaging

ADVISOR:

Martin Lindquist

TRAINING PERIOD:

2020-2023

POSITION:

Johnson & Johnson

 

 

NAME:

Stephan Geuter

RESEARCH PROJECT:

Causal Inference for Neuroimaging

ADVISOR:

Martin Lindquist

TRAINING PERIOD:

2016-2018

POSITION:

Vorwerk Digital

 

 

NAME:

Rahul Ghosal

RESEARCH PROJECT:

Identification of Clinically Relevent Characteristic Patterns of Physical Activity Measured via Contagious Actigraphy in Subjects with and without Mild Alzheimer's

ADVISOR:

Vadim Zipunnikov

TRAINING PERIOD:

2021-2022

POSITION:

Department of Biostatistics, University of South Carolina Arnold School of Public Health

 

 

NAME:

Sonja Greven

RESEARCH PROJECT:

Environmental Biostatistics and Epidemiology

ADVISOR:

Francesca Dominici

TRAINING PERIOD:

2008-2010

POSITION:

Department of Statistics, Ludwig-Maximilians-Universitaet

 

 

NAME:

Amber Hackstadt

RESEARCH PROJECT:

Postdoctoral Training in Environmental Biostatistics

ADVISOR:

Thomas Louis

TRAINING PERIOD:

2011-2014

POSITION:

Department of Biostatistics, Vanderbilt University

 

 

NAME:

Aboozar Hadavand

RESEARCH PROJECT:

A Massive Study of Data Science to Address the Scientific Reproducibility Crisis

ADVISOR:

Jeffrey Leek

TRAINING PERIOD:

2017-2020

POSITION:

Computational Sciences, Minerva University

 

 

NAME:

Kasper Hansen

RESEARCH PROJECT:

Some Analyses of High-Throughput Expression Data

ADVISOR:

Rafael Irizarry

TRAINING PERIOD:

2009-2012

POSITION:

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 

 

NAME:

Peter Hickey

RESEARCH PROJECT:

Cancer Genomics: Integrative and Scalable Solutions in R/Bioconductor

ADVISOR:

Kasper Hansen

TRAINING PERIOD:

2015-2018

POSITION:

Walter & Eliza Hall Institute of Medical Research

 

 

NAME:

Wenpin Hou

RESEARCH PROJECTS:

Computational Tools for Regulome Mapping Using Single-Cell Genomic Data
Statistical Methods for the Normalization and Quantification of Single-Cell RNA Sequencing Data
Bioconductor for Analysis and Comprehension of the Human Cell Atlas

ADVISOR:

Stephanie Hicks

CO-ADVISOR:

Hongkai Ji

TRAINING PERIOD:

2019-2022

POSITION:

Department of Biostatistics, Columbia University Mailman School of Public Health

 

 

NAME:

Philippe Huber

RESEARCH PROJECT:

Latent Variable Models for Multivariate Discrete and Continuous Responses

ADVISOR:

Scott Zeger

TRAINING PERIOD:

2005

POSITION:

RAM Active Investments

 

 

NAME:

Elizabeth Humphries

RESEARCH PROJECT:

Implementing the Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL)

ADVISOR:

Jeffrey Leek

TRAINING PERIOD:

2022

POSITION:

Fred Hutchinson Cancer Research Center

 

 

NAME:

Heide Jackson

RESEARCH PROJECT:

Epidemiology and Biostatistics of Aging Training Program

ADVISOR:

Karen Bandeen-Roche

TRAINING PERIOD:

2015-2016

POSITION:

University of Maryland Population Research Center

 

 

NAME:

Holly Janes

RESEARCH PROJECT:

Environmental Biostatistics and Epidemiology

ADVISOR:

Francesca Dominici

TRAINING PERIOD:

2005-2007

POSITION:

Biostatistician, Fred Hutchinson Cancer Research Center, Seattle, Washington

 

 

NAME:

Jin Jin

RESEARCH PROJECTS:

Robust Methods for Polygenic Analysis to Inform Disease Etiology and Enhance Risk Prediction/Multi-Ethnic Risk Prediction for Complex Human Diseases Integrating Multi-Source Genetic and Non-Genetic Information

ADVISOR:

Nilanjan Chatterjee

TRAINING PERIOD:

2019-2023

POSITION:

Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine

 

 

NAME:

Kai Kammers

RESEARCH PROJECT:

Statistical Methods and Computational Tools for Analyzing Data from Next Generation RNA Sequencing

ADVISOR:

Jeffrey Leek

TRAINING PERIOD:

2013-2016

POSITION:

Department of Oncology, Johns Hopkins School of Medicine

 

 

NAME:

Joshua Keller

RESEARCH PROJECTS:

SEARCH: Solutions for Energy, Air, Climate, and Health; Integrated Air Pollution and Childhood Pneumonia

ADVISOR:

Roger Peng

TRAINING PERIOD:

2016-2018

POSITION:

Department of Statistics, Colorado State University

 

 

NAME:

Ji Soo Kim

RESEARCH PROJECT:

Scleroderma Research Foundation, Trajectory Modeling

TRAINING PERIOD:

2020-2022

ADVISOR:

Scott Zeger

POSITION:

Department of Medicine, Johns Hopkins School of Medicine

 

 

NAME:

Hyunwook (Bob) Koh

RESEARCH PROJECTS:

ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center); Integrative Analysis of Microbiome Data in HIV - From Statistical Methodology to Scientific Discovery

ADVISOR:

Ni Zhao

TRAINING PERIOD:

2018-2020

POSITION:

Department of Applied Mathematics & Statistics, SUNY Korea

 

 

NAME:

Jacob Konikoff

RESEARCH PROJECT:

National Evaluation Platforms

ADVISOR:

Scott Zeger

TRAINING PERIOD:

2015-2016

POSITION:

Boston Consulting Group

 

 

NAME:

Rumen Kostadinov

RESEARCH PROJECT:

Improving Outcome for Childhood Leukemia with Targeted Epigenetic Therapy

ADVISOR:

Rafael Irizarry

TRAINING PERIOD:

2012-2014

POSITION:

Department of Oncology, Johns Hopkins School of Medicine

 

 

NAME:

Prosenjit Kundu

RESEARCH PROJECT:

Multifactoral Breast Cancer Risk Prediction Accounting for Ethnic and Tumor Diversity

ADVISOR:

Nilanjan Chatterjee

TRAINING PERIOD:

2020-2022

POSITION:

Pfizer

 

NAME:

Fan Li

RESEARCH PROJECT:

Statistical Designs and Analyses for Partially Controlled Studies

ADVISOR:

Constantine Frangakis

TRAINING PERIOD:

2006

POSITION:

Department of Statistical Science, Duke University

 

 

NAME:

Mo Li

RESEARCH PROJECTS:

Environmental Influences on Child Health Outcomes Data Analysis Center / Statistical Methods for Integrative Analysis of Multiple Microbiome Datasets

ADVISOR:

Ni Zhao

TRAINING PERIOD:

2021-2023

POSITION:

Department of Mathematics, University of Louisiana at Lafayette

 

 

NAME:

Guanghan Liu

RESEARCH PROJECT:

Biostatistics Mental Health/Psychiatry Training Program

ADVISOR:

Kung-Yee Liang

TRAINING PERIOD:

1994-1995

POSITION:

Merck Research Laboratories

 

 

 

 

NAME:

Jia (Coco) Liu

RESEARCH PROJECT:

SEARCH: Solutions for Energy, Air, Climate, and Health

ADVISOR:

Roger Peng

TRAINING PERIOD:

2016-2018

POSITION:

Facebook

 

 

NAME:

Howard Mackey

RESEARCH PROJECT:

Developing a New Statistical Method for the Analysis of Longitudinal Clinical Trial Data

ADVISOR:

Kung-Yee Liang

TRAINING PERIOD:

2000-2002

POSITION:

Genentech, Inc.

 

 

NAME:

Guy Mahiane

RESEARCH PROJECT:

Mathematical Modeling for the Interaction between HIV and HSV-2 from Experimental Data

ADVISOR:

Lawrence Moulton

TRAINING PERIOD:

2013-2015

POSITION:

Avenir Health

 

 

NAME:

Lucy McGowan

RESEARCH PROJECTS:

Developing Statistical Methods and Collecting Data to Compare Clinical Trials to Observational Studies / Developing Methods and Code for Analyzing the Way People Use R / Developing Massive Online Open Courses for Medical Professionals

ADVISOR

Jeffrey Leek

TRAINING PERIOD:

2018-2019

POSITION:

Department of Mathematics & Statistics, Wake Forest University

 

 

NAME:

Allison Meisner

RESEARCH PROJECT:

Statistical Methods for Development, Validation and Implementation of Absolute Risk Models

ADVISOR:

Nilanjan Chatterjee

TRAINING PERIOD:

2017-2020

POSITION:

Fred Hutchinson Cancer Research Center

 

 

NAME:

Tanmay Nath

RESEARCH PROJECTS:

Causal Inferencer for Neuroimaging / Data Center for Acute to Chronic Pain Biosignatures

ADVISOR:

Martin Lindquist

TRAINING PERIOD:

2019-2022

POSITION:

Integrate

 

 

NAME:

Abhinav Nellore

RESEARCH PROJECT:

Statistical Models for Biological and Technical Variation in RNA Sequencing

ADVISOR:

Jeffrey Leek

TRAINING PERIOD:

2013-2016

POSITION:

Department of Biomedical Engineering, Oregon Health & Science University

 

 

NAME:

Julius Ngwa

RESEARCH PROJECTS:

Environmental Influences on Child Health Outcomes Data Analysis Center/Genetic Epidemiology of COPD

ADVISOR:

Ingo Ruczinski

TRAINING PERIOD:

2015-2023

POSITION:

Children's National Hospital

 

 

NAME:

Parichoy Pal Choudhury

RESEARCH PROJECT:

PCORI - Statistical Methods for Development, Validation and Implementation

ADVISOR:

Nilanjan Chatterjee

TRAINING PERIOD:

2016-2019

POSITION:

Division of Cancer Epidemiology & Genetics, NCI

 

 

NAME:

Roger Peng

RESEARCH PROJECT:

Environmental Biostatistics and Epidemiology

ADVISOR:

Francesca Dominici

TRAINING PERIOD:

2003-2005

POSITION:

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 

 

NAME:

Helen Powell

RESEARCH PROJECT:

Statistical Methods for Complex Environmental Health Data

ADVISOR:

Roger Peng

TRAINING PERIOD:

2012-2015

POSITION:

Center for Vaccine Development, University of Maryland, Baltimore

 

 

NAME:

Kevin Psoter

RESEARCH PROJECT:

Causal Modeling

ADVISOR:

Daniel Scharfstein

TRAINING PERIOD:

2013-2015

POSITION:

Department of Pediatrics, Johns Hopkins School of Medicine

 

 

NAME:

Sherri Rose

RESEARCH PROJECT:

Methodology for Causal and Statistical Inference in
Longitudinal Data

ADVISOR:

Michael Rosenblum

TRAINING PERIOD:

2011-2013

POSITION:

Center for Health Policy/Center for Primary Care and Outcomes Research, Stanford University

 

 

NAME:

Patrick Sadil

RESEARCH PROJECT:

Data Center for Acute to Chronic Pain Biosignatures

ADVISOR:

Brian Caffo

TRAINING PERIOD:

2021-2022

POSITION:

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 

 

NAME:

Robert Scharpf

RESEARCH PROJECT:

Cardiovascular Epidemiology Institutional Training

ADVISOR:

Ingo Ruczinski

TRAINING PERIOD:

2007-2010

POSITION:

Department of Oncology, Johns Hopkins School of Medicine

 

 

NAME:

Holger Schwender

RESEARCH PROJECT:

Methods and Software for the Improved Analysis of Data Arising in the Context of Genome-Wide Association Studies

ADVISOR:

Ingo Ruczinski

TRAINING PERIOD:

2009-2010

POSITION:

Department of Mathematics, Heinrich Heine University

 

 

NAME:

Heather Shappell

RESEARCH PROJECTS:

Causal Inference for Neuroimaging; Resources for Quantitative Functional FMRI

ADVISOR:

Martin Lindquist

CO-ADVISOR:

Brian Caffo

POSITION:

Department of Biostatistics & Data Science, Wake Forest School of Medicine

TRAINING PERIOD:

2017-2020

 

 

NAME:

Ben Sherwood

RESEARCH PROJECT:

Statistical and Computational Tools for Next-Generation ChIP-seq Applications

ADVISOR:

Hongkai Ji

TRAINING PERIOD:

2014-2016

POSITION:

University of Kansas School of Business

 

 

NAME:

Jon Steingrimsson

RESEARCH PROJECT:

Methodology for Causal and Statistical Inference in Longitudinal Data

ADVISOR:

Michael Rosenblum

TRAINING PERIOD:

2015-2017

POSITION:

Department of Biostatistics, Brown School of Public Health

 

 

NAME:

Yifei Sun

RESEARCH PROJECTS:

Statistical Methods of Reduced-Cost Designs for Studying Disease Incidence and Fatality Risks; Statistical Methods of Survival and Recurrent Event Data in Clinical Research

ADVISOR:

Mei-Cheng Wang

TRAINING PERIOD:

2015-2017

POSITION:

Department of Biostatistics, Mailman School of Public Health, Columbia University

 

 

NAME:

Bruce Swihart

RESEARCH PROJECT:

Statistical Methods for Multilevel Multivariate Functional Studies

ADVISOR:

Ciprian Crainiceanu

TRAINING PERIOD:

2011-2014

POSITION:

Biostatistics Research Branch, NIAID

 

 

NAME:

Runlong Tang

RESEARCH PROJECT:

Statistical Methods for Development, Validation and Implementation of Absolute Risk Models

ADVISOR:

Nilanjan Chatterjee

TRAINING PERIOD:

2016-2017

POSITION:

Fred Hutchinson Cancer Research Center

 

 

NAME:

Margaret Taub

RESEARCH PROJECT:

Analysis of High-Throughput Biological Data: Some Statistical Problems in RNA-seq and Mouse Genotyping

ADVISOR:

Rafael Irizarry

TRAINING PERIOD:

2009-2012

POSITION:

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 

 

 

 

NAME:

John Tillinghast

RESEARCH PROJECT:

Epidemiology and Biostatistics of Aging Training Program

ADVISOR:

Karen Bandeen-Roche

TRAINING PERIOD:

2007-2010

POSITION:

maxlikelihood.org

 

 

NAME:

Jacek Urbanek

RESEARCH PROJECT:

Biosignals

ADVISOR:

Ciprian Crainiceanu

TRAINING PERIOD:

2014-2017

POSITION:

Regeneron

 

 

NAME:

Dane Van Domelen

RESEARCH PROJECT:

Epidemiology and Biostatistics of Aging Training Program

ADVISOR:

Karen Bandeen-Roche

TRAINING PERIOD:

2018-2019

POSITION:

Karyopharm Therapeutics

 

 

NAME:

Kelly Van Lancker

RESEARCH PROJECT:

Statistical Methods and Open-Source, Validated Software for Improving the Efficiency of Randomized Trials

ADVISOR:

Michael Rosenblum

TRAINING PERIOD:

2021-2022

POSITION:

Ghent University

 

 

NAME:

Lukas Weber

RESEARCH PROJECT:

Unsupervised Statistical Methods for Data-Driven Analyses in Spatially Resolved Transcriptomics Data

ADVISOR:

Stephanie Hicks

TRAINING PERIOD:

2019-2023

POSITION:

Department of Biostatistics, Boston University School of Public Health

 

 

NAME:

Leah Welty

RESEARCH PROJECT:

National Morbidity and Mortality Air Pollution Study

ADVISOR:

Scott Zeger

TRAINING PERIOD:

2003-2005

POSITION:

Department of Preventive Medicine, Northwestern University

 

 

NAME:

Zhenke Wu

RESEARCH PROJECT:

Statistical Methods for Individualized Health with Application to Childhood Pneumonia and Health Policies: Etiology, Diagnosis, and Intervention

ADVISOR:

Scott Zeger

TRAINING PERIOD:

2014-2016

POSITION:

Department of Biostatistics, University of Michigan School of Public Health

 

 

NAME:

Luo Xiao

RESEARCH PROJECT:

Statistical Methods for Multilevel Multivariate Functional Studies; Statistical Methods for Mapping Human Brain Development

ADVISOR:

Ciprian Crainiceanu

TRAINING PERIOD:

2012-2015

POSITION:

Department of Statistics, North Carolina State University

 

 

NAME:

Yizhen Xu

RESEARCH PROJECT:

Johns Hopkins Individualized Heath Initiative

ADVISOR:

Scott Zeger

TRAINING PERIOD:

2020-2021

POSITION:

Department of Oncology, Johns Hopkins School of Medicine

 

 

NAME:

Samuel Younkin

RESEARCH PROJECT:

Methods Development and Secondary Analyses for an Oral Clefts Association Study

ADVISOR:

Ingo Ruczinski

TRAINING PERIOD:

2011-2013

POSITION:

Global Health Institute, University of Wisconsin-Madison

 

 

NAME:

Xuekui Zhang

RESEARCH PROJECT:

Statistical and Computational Methods for Analyzing High Throughput Genomic Data

ADVISOR:

Hongkai Ji

TRAINING PERIOD:

2011-2013

POSITION:

Department of Mathematics & Statistics, University of Victoria

 

 

NAME:

Yan (Dora) Zhang

RESEARCH PROJECT:

Developing and Applying Methods for Analyzing Polygenic Genetic Architecture of Complex Traits

ADVISOR:

Nilanjan Chatterjee

TRAINING PERIOD:

2016-2019

POSITION:

Department of Statistics & Actuarial Science, University of Hong Kong

 

 

NAME:

Yi Zhao

RESEARCH PROJECT:

Adolescent Changes in Brain and Behavior in Boys and Girls with ADHD

ADVISOR:

Brian Caffo

TRAINING PERIOD:

2017-2019

POSITION:

Department of Biostatistics, Indiana University School of Medicine

 

 

NAME:

Shijie Zheng

RESEARCH PROJECTS:

Bioconductor for Analysis and Comprehension of the Human Cell Atlas Resources/Analysis of Genomics Dataset at a Massive Scale

ADVISOR:

Kasper Hansen

TRAINING PERIOD:

2019-2022

POSITION:

Pfizer

 

 

NAME:

Weiqiang (Ken) Zhou

RESEARCH PROJECT:

Computational Tools for Mining Large Amounts of ChIP and Gene Expression Data

ADVISOR:

Hongkai Ji

TRAINING PERIOD:

2013-2018

POSITION:

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 

 

NAME:

Yuxin (Daisy) Zhu

RESEARCH PROJECTS:

Biomarkers of Cognitive Decline Among Normal Individuals: The Biocard Cohort/National Diagnostic Performance Dashboard to Measure and Track Diagnostic Error

ADVISOR:

Mei-Cheng Wang

TRAINING PERIOD:

2019-2021

POSITION:

Department of Neurology, Johns Hopkins School of Medicine

 

 

NAME:

Vadim Zipunnikov

RESEARCH PROJECT:

Statistical Methods for Multilevel Multivariate Functional Studies

ADVISOR:

Ciprian Crainiceanu

TRAINING PERIOD:

2009-2012

POSITION:

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health

 

 

 


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