Dr. Rongling Wu
Active Grants
5 UL1 TR000127-05 (Sinoway) 6/1/2011-2/29/2017
NIH
The Penn State Clinical and Translational Science Institute
The goal of Penn State CTSI is an engaged and responsive health science research and education enterprise that delivers on the promise of improved health.
Role: Co-Leader
U01HL119178-01 (Berceli) 8/8/2013-6/30/2018
University of Florida/NIH
Constitutive and Agent-based Multiscale Models to Improve Vein Graft Survival
This project will create and explore a dynamic gene regulatory network, which when integrated with an agent-based model of vascular adaptation, identifies the subset of genes that have the most significant impact on reducing intimal hyperplasia and preserving vein graft lumen.
Role: Site PI
Completed Grants
CR139903 (Wu) 5/1/2013-4/30/2016
ARVALIS (France)
Predicting the Genotype-Phenotype Map of Developmental Plasticity
The goal of this project is to develop and use robust mathematical models to study developmental processes from morphogenesis to pattern formation in order to predict the phenotypic development over a changing environment for the genotype of complex organisms.
Role: PI
Dr. Dajiang Liu
Active Grants
5 UL1 TR000127-05 (Sinoway) 6/1/2011-2/28/2017 (NCE)
NIH
The Penn State Clinical and Translational Science Institute
The goal of Penn State CTSI is an engaged and responsive health science research and education enterprise that delivers on the promise of improved health.
Role: Statistician
1 R01 DA037904-01A1 (Vrieze) 5/1/2015-4/30/2020
University of Colorado at Boulder/NIH
Genetic Association Meta-Analyses of Smoking and Drinking for the Sequencing Age
Pennsylvania State University College of Medicine will be responsible for implementing the analytic plan and necessary methods development, especially the development and implementation of multivariate meta-analytic tests.
Role: Site PI/ Co-Investigator
1 R21 DA040177-01 (Liu, D.) 9/30/2015-8/31/2017
NIDA
Methods to Unveil the Genetic Architecture for Nicotine Dependence via NGS data
These projects have the potential to bring a paradigm shift to the genetic analysis of nicotine dependence. The methods and tools will also be valuable for studying other similar complex traits.
Role: PI