Computational & Systems Biology Program
The Dana Pe'er Lab
The Pe’er lab combines single cell technologies, genomic datasets and machine learning algorithms to address fundamental questions in biomedical science. Empowered by recent breakthrough technologies like massive parallel single cell RNA-sequencing, we ask questions such as: How do multi-cellular organisms develop from a single cell, resulting in the vast diversity of progenitor and terminal cell types? How does a cell’s regulatory circuit control the dynamics of signal processing and how do these circuits rewire over the course of development? How does an ensemble of cells function together to execute a multi-cellular response, such as an immune response to pathogen or cancer? We will also address more medically oriented questions such as: How do regulatory circuits go awry in disease? What is the consequence of intra-tumor heterogeneity? Can we characterize the tumor immune eco-system to gain a better understanding of when or why immunotherapy works or does not work? A key goal is to use this characterization of the tumor immune eco-system to personalize immunotherapy.
The emergent landscape of the mouse gut endoderm at single-cell resolution. Nowotschin S, Setty M, Kuo YY, Liu V, Garg V, Sharma R, Simon CS, Saiz N, Gardner R, Boutet SC, Church DM, Hoodless PA, Hadjantonakis AK, Pe’er D. Nature. 2019 May;569(7756):361-367. doi: 10.1038/s41586-019-1127-1. Epub 2019 Apr 8. PMID: 30959515
Characterization of cell fate probabilities in single-cell data with Palantir. Setty M, Kiseliovas V, Levine J, Gayoso A, Mazutis L, Pe’er D. Nat Biotechnol. 2019 Apr;37(4):451-460. doi: 10.1038/s41587-019-0068-4. PMID: 30899105.
Single-cell map of diverse immune phenotypes in the breast tumor microenvironment. Azizi E, Carr AJ, Plitas G, Cornish AE, Konopacki C, Prabhakaran S, Nainys J, Wu K, Kiseliovas V, Setty M, Choi K, Fromme RM, Dao P, McKenney PT, Wasti RC, Kadaveru K, Mazutis L, Rudensky AY, Pe’er D. Cell. 2018 Aug 23;174(5):1293-1308.e36. doi: 10.1016/j.cell.2018.05.060. PMID: 29961579
Dana Pe'er, PhD
Chair, Computational and Systems Biology Program, SKI; Scientific Director, Metastasis & Tumor Ecosystems Center
- Computational Biologist Dana Pe’er combines single cell technologies, genomic datasets and machine learning techniques to address fundamental questions addressing regulatory cell circuits, cellular development, tumor immune eco-system, genotype to phenotype relations and precision medicine.
- PhD, Hebrew University, Jerusalem Israel
- Email Address
- PhD, Weill Cornell Graduate School, New York (Systems Biology)
- MS, Columbia University, New York (Computer Science)
- BEng, National Institute of Technology, Karnataka, India (Computer Engineering)
- 2014 NIH Director’s Pioneer Award
- 2014 ISCB Overton Prize
- 2012 RECOMB 2012 Test of Time Award
- 2010 SU2C AACR Innovator award
- 2009 Packard Fellowship in Science and Engineering
- 2007 NIH Directors New Innovator Award
- 2005 Runner up for “Breakthrough of the year”, Science Magazine
- 2005 Career Award at the Interface of Science, Burroughs Welcome Fund
Bioinformatics Engineer II / Computational Research Scientist
We are seeking a developer with a creative and analytical mind to join Sloan Kettering Institute’s Single Cell Research Initiative (SCRI).
Senior Research Technician
A driving motivation of the Single Cell Research Initiative (SCRI) is to develop cutting edge single-cell experimental technologies, including single-cell RNA-seq and multi-dimensional imaging, to explore questions in tumor heterogeneity, metastasis and the tumor-immune environment.
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Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.
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Dana Pe'er discloses the following relationships and financial interests:
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