User:Marydavia/sandbox
From Wikipedia, the free encyclopedia
Manolis Kellis (Kamvysselis) is a professor of Computer Science at the Massachusetts Institute of Technology (MIT) in the area of Computational Biology and a member of the Broad Institute of MIT and Harvard[3]. He is the head of the Computational Biology Group at MIT[4] and he is a Principal Investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT[5]. His research interests are in the area of computational biology, genomics, epigenomics, gene regulation, and genome evolution[6].
This is the user sandbox of Marydavia. A user sandbox is a subpage of the user's user page. It serves as a testing spot and page development space for the user and is not an encyclopedia article. Create or edit your own sandbox here. Other sandboxes: Main sandbox | Template sandbox Finished writing a draft article? Are you ready to request review of it by an experienced editor for possible inclusion in Wikipedia? Submit your draft for review! |
Manolis Kellis | |
---|---|
Born | (1977-03-13) March 13, 1977 (age 47) |
Alma mater | Massachusetts Institute of Technology |
Awards | US Presidential Early Career Award in Science and Engineering (PECASE), 2010
National Science Foundation CAREER Awards, 2007 Faculty Research Innovation Fellowships, 2015 [1] Alfred P. Sloan Fellowship [2] Karl Van Tassel chair, MIT EECS, 2007 Distinguished Alumnus 1964 chair, MIT EECS, 2005 Ruth and Joel Spira Teaching Award in EECS Athens Information Technology (AIT) Niki Award for Science and Engineering, 2011 Technology Review TR35 Top Young Innovators, 2006 MIT Sprowls Award for Best PhD Thesis in Computer Science, 2003 |
Scientific career | |
Institutions | Broad Institute of MIT and Harvard Massachusetts Institute of Technology Harvard Medical School |
Thesis | Computational Comparative Genomics: Genes, Regulation, Evolution. (2003) |
Doctoral advisor | Eric Lander, Bonnie Berger |
He is known for his contributions to genomics, including leading an National Institutes of Health effort to create a map of the human epigenome, which constitute the most comprehensive view of the human epigenome to date[7][8]. A major focus of his work is understanding the effects of genetic variations on human disease[9] with contributions to obesity[10][11][12], diabetes[13], Alzheimer's Disease[14][15][16], Schizophrenia[17] and cancer[18].