Lab of Statistical Genetics and Genomics
University of Pennsylvania
PI: Prof. Hongzhe Li


University of Pennsylvania
Perelman School of Medicine
Biostatistics
215 Blockly Hall
Philadelphia, PA 19014
Blockley Hall 215
(215) 573-5038 (voice)
(206) 573-1050(fax)
hongzhe 0AT0 upenn (DOT) edu

Professor of Biostatistics and Statistics
Fellow, ASA; Fellow, IMS

 

"The mere formulation of a problem is far more often essential than its solution, which may be merely a matter of mathematical or experimental skill. To raise new questions, new possibilities, to regard old problems from a new angle requires creative imagination and marks real advances in science."
Albert Einstein (1879 - 1955) Physicist & Nobel Laureate

The Li Lab   Experiences  Research Interests  Awards/Honors  All Publications  Software/Programs  Teaching  Research Grants  Former Lab Members  

PI: Hongzhe Li

Welcome to the Hongzhe Li's Statistical Genetics and Genomics Laboratory. Our lab is within the Department of Biostatistics and Epidemiology at the University of Pennsylvania Perelman School of Medicine and is conducting both methodological and collaborative research in the area of statistical genetics/genomics and metagenomics, with the goal of understanding the genetic and genomic bases of complex biological systems, including initiation and development of complex human diseases.

Working with Penn collaborators, we are currently developing methods for analysis of high-throughout genomic data. My application areas include genome-wide association studies of neuroblastoma, eQTL analysis of human heart failure data and metagenomic data analysis of human gut microbiome. In the area of statistical genomics, our recent research has focused on developing statistical and computational methods for analysis of genetic pathways and networks and novel methods for analysis of eQTL data. These collaborations have led to publications in Science, Nature, Nature Genetics, Developmental Cell, PNAS etc and have motivated many of our methodological research projects.

The focus of our methodological research is to formulate the problems in genetics and genomics as interesting statistcal problems and to develop novel statistical models and computational methods to solve these problems. We are in particuarly interested in developing high dimensional statistical methods for analysis of genomic data.

See Selected Publications for some of the latest papers by our group.