Department of Electrical Engineering and Computer Science
MIT Room 32D-524
(617) 253-2419
Geraldine McGowan
Areas Of Expertise
Manolis Kellis is a Professor of Computer Science at MIT, an Institute Member of the Broad Institute of MIT and Harvard, and a member of the Computer Science and Artificial Intelligence Laboratory, where he directs the MIT Computational Biology Group (compbio.mit.edu). His research is in regulatory genomics, epigenomics, comparative genomics and phylogenomics, ENCODE, modENCODE, and Roadmap Epigenomics consortia. He has received the US Presidential Early Career Award in Science and Engineering (PECASE) for his NIH R01 work in Computational Genomics, the NSF CAREER award, the Alfred P. Sloan Fellowship, the AIT Niki Award for contributions to science and technology, the TR35 young innovator award, the Karl Van Tassel chair in EECS, the Distinguished Alumnus 1964 chair, and the Ruth and Joel Spira Teaching Award in EECS. Professor Kellis obtained his Ph.D. from MIT, where he received the Sprowls award for the best doctorate thesis in computer science, and the first Paris Kanellakis graduate fellowship. åÊPrior to computational biology, he worked on artificial intelligence, sketch and image recognition, robotics, and computational geometry, at MIT and at the Xerox Palo Alto Research Center. He lived in Greece and France before moving to the U.S. (bio updated 9/2015)
Professor Kellis' research interests are in the area of computational biology, genomics, epigenomics, gene regulation, and genome evolution. Specifically: (1) in the area of genome interpretation, we seek to develop comparative genomics methods to identify genes and regulatory elements systematically in the human genome (2) in the area of gene regulation, we seek to understand the regulatory motifs involved in cell type specification during development, understand their combinatorial relationships, and how these establish expression domains in the developing embryo. (3) in the area of epigenomics, we seek to understand the chromatin signatures associated with distinct activity states, the changing chromatin states across different cell types and during differentiation, and the sequencing signals responsible for the establishment and maintenance of chromatin marks. (4) in the area of evolutionary genomics, understanding the dynamics of gene phylogenies across complete genes, the emergence of new gene functions by duplication and mutation, and the algorithmic principles behind phylogenomics.
Department of Electrical Engineering and Computer Science
MIT Room 32D-524
(617) 253-2419
Geraldine McGowan
Areas Of Expertise
Manolis Kellis is a Professor of Computer Science at MIT, an Institute Member of the Broad Institute of MIT and Harvard, and a member of the Computer Science and Artificial Intelligence Laboratory, where he directs the MIT Computational Biology Group (compbio.mit.edu). His research is in regulatory genomics, epigenomics, comparative genomics and phylogenomics, ENCODE, modENCODE, and Roadmap Epigenomics consortia. He has received the US Presidential Early Career Award in Science and Engineering (PECASE) for his NIH R01 work in Computational Genomics, the NSF CAREER award, the Alfred P. Sloan Fellowship, the AIT Niki Award for contributions to science and technology, the TR35 young innovator award, the Karl Van Tassel chair in EECS, the Distinguished Alumnus 1964 chair, and the Ruth and Joel Spira Teaching Award in EECS. Professor Kellis obtained his Ph.D. from MIT, where he received the Sprowls award for the best doctorate thesis in computer science, and the first Paris Kanellakis graduate fellowship. åÊPrior to computational biology, he worked on artificial intelligence, sketch and image recognition, robotics, and computational geometry, at MIT and at the Xerox Palo Alto Research Center. He lived in Greece and France before moving to the U.S. (bio updated 9/2015)
Professor Kellis' research interests are in the area of computational biology, genomics, epigenomics, gene regulation, and genome evolution. Specifically: (1) in the area of genome interpretation, we seek to develop comparative genomics methods to identify genes and regulatory elements systematically in the human genome (2) in the area of gene regulation, we seek to understand the regulatory motifs involved in cell type specification during development, understand their combinatorial relationships, and how these establish expression domains in the developing embryo. (3) in the area of epigenomics, we seek to understand the chromatin signatures associated with distinct activity states, the changing chromatin states across different cell types and during differentiation, and the sequencing signals responsible for the establishment and maintenance of chromatin marks. (4) in the area of evolutionary genomics, understanding the dynamics of gene phylogenies across complete genes, the emergence of new gene functions by duplication and mutation, and the algorithmic principles behind phylogenomics.