Students will have access to an interdisciplinary group of Harvard Faculty at the top of their fields.


John Quackenbush
CBQG Co-Director
Professor, Computational Biology and Bioinformatics
Chair, Department of Biostatistics

Dr. Quackenbush and his group use a variety of bioinformatics and computational approaches, biostatistical analyses, and fundamental laboratory investigation to explore fundamental questions about the nature of human disease. Their approach is based on using high-throughput assays and applying “systems” methods integrate diverse datatypes, including the genome sequence, its annotation, genetic information, phenotype, and the vast body of knowledge captured in the literature. Their goal is not only to develop our own insight into these processes, but to instantiate our methods in tools, protocols, and databases to the broader community that will accelerate research beyond our own.

Research Keywords: Bioinformatics, Computational Biology, Genomics, Cancer, Systems Biology

ap2Peter Kraft
CBQG Co-Director
Professor of Statistical Genetics
Departments of Epidemiology & Biostatistics

Dr. Kraft’s research concentrates on the design and analysis of genetic association studies, with particular emphasis on studies linking variation in germline DNA to cancer risk. He has played a key role in multiple international consortia studying genetics and other exposures in relation to cancer risk over the last ten years.

Dr. Kraft is the instructor for EPI 507, Genetic Epidemiology.  This course introduces the basic principles and methods of genetic epidemiology. After a brief review of history of genetic epidemiology, methods for the study of both high penetrance and low penetrance alleles, as well as other high throughput genomic data will be described and discussed. Methods of analysis of genome-wide association studies are a particular focus.

Research Keywords: Gene x environment interaction analyses, genetic risk prediction, risk of complex disease, genetic association studies