Manolis is an Associate Professor of Computer Science at MIT, a member of the Computer Science and Artificial Intelligence Laboratory and of the Broad Institute of MIT and Harvard, where he directs the MIT Computational Biology Group.
He 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.
Prior 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 US.
Professor, MIT Department of Computer Science
Head, MIT Computational Biology group
Institute Member, Broad Institute of MIT and Harvard Member,
MIT Computer Science and Artificial Intelligence Lab
Stata Center - 32D.524 - 617.253.2419
Awards: - US Presidential Early Career Award (PECASE) - Alfred P. Sloan Foundation Award - National Science Foundation CAREER Award - AIT Niki Award for Science and Engineering - Technology Review TR35 Top Young Innovators - Ruth and Joel Spira Teaching Award - MIT Sprowls Award for Best PhD Thesis in Computer Science
Read more: Curriculum Vitae (pdf)
Discovery may advance neural stem cell treatments for brain disorders Study reveals novel cross-talk between RNA and histonesNew research reveals a novel gene regulatory system that may advance stem cell therapies and gene-targeting treatments for neurological diseases such as Alzheimer's disease, Parkinson's disease, and mental health disorders that affect cognitive abilities; January 24, 2018 Sanford-Burnham Prebys Medical Discovery Institute
Scientists just made the first map of the human epigenome. Here’s why that’s awesome; The Washington Post, By Rachel Feltman February 18, 2015
MIT Technology Review, by Amanda Schaffer June 21, 2016
A metabolic master switch underlying human obesity Fat cells in the human body. Researchers find pathway that controls metabolism by prompting fat cells to store or burn fat. Helen Knight | MIT News correspondent August 19, 2015
New approach to genetic analysis yields markers linked to complex diseases. Study identifies new gene variants that may be targets for treating arrhythmia. Anne Trafton | MIT News Office May 10, 2016