Dana Pe'er

Dana Pe'er

Titles

Associate Professor, Departments of Biological Sciences and Computer Science

Affiliations

Department of Systems Biology
Center for Computational Biology and Bioinformatics
Center for Multiscale Analysis of Genomic and Cellular Networks (MAGNet)
Department of Biological Sciences
Department of Computer Science

Phone

(212) 854-4397

Dana Pe’er is an associate professor in the Departments of Biological Sciences and Computer Science. Her lab endeavors to understand the organization, function, and evolution of molecular networks, particularly how variation in DNA sequence alters regulatory networks and leads to the vivid phenotypic diversity of life. Her team develops computational methods that integrate diverse high-throughput data to provide a holistic, systems-level view of molecular networks. She is particularly interested in exploring how systems biology can be used to personalize care for people with cancer. By developing models that can predict how individual tumors will respond to certain drugs and drug combinations, her goal is to develop ways to determine the best drug regime for each patient. Her interest is not only in understanding which molecular components go wrong in cancer cells, but also in using this information to improve cancer therapeutics.

Dr. Pe’er is the recipient of the 2014 Overton Prize, and has been recognized with the Burroughs Wellcome Fund Career Award, an NIH Directors New Innovator Award, an NSF CAREER Award, and a Stand Up To Cancer Innovative Research Grant. She was also named a Packard Fellow in Science and Engineering.

More News

News

Novel Machine Learning Method Expands the Landscape of Breast Cancer Driver Genes
An algorithm by recent PhD graduate Felix Sanchez-Garcia identifies cancer causing genes within somatic copy number alterations, doubling the number of known breast cancer drivers.
Prestigious NIH Director's Awards Go to Two Department of Systems Biology Researchers
Associate Professor Dana Pe’er has received the Pioneer Award for high risk, high reward research, while postdoctoral scientist Kyle Allison has won an Early Independence Award.
Researchers Create Comprehensive Map of Human B Cell Development
A method that uses new single-cell technologies will improve researchers’ ability to investigate development in cells of all types and to identify rare aberrations in development that lead to disease.
Dana Pe’er Wins 2014 Overton Prize
The award from the International Society for Computational Biology recognizes one outstanding early- to mid-career scientist each year who has already made a significant contribution to the field.
New Tool for Visualizing High-Dimensional Single-Cell Data
A new software tool called viSNE can reveal closely related groups of cells within heterogeneous cell populations. It could potentially help identify drug-resistant cancer cells and detect minute quantities of cells that increase risk of relapse.
Computational and Functional Dissection of Drug Targets in Melanoma
CONEXIC, a novel Bayesian probabilistic algorithm developed in the lab of Dana Pe'er, integrates copy number and gene expression data in order to identify tumor-specific “driver” aberrations, as well as the cellular processes they affect.
Dana Pe'er Receives 2007 NIH Director's New Innovator Award
Part of an NIH Roadmap for Medical Research initiative, this award recognizes outstanding scientists who are "well-positioned to make significant — and potentially transformative — discoveries in a variety of areas.”