MarketManolis Kellis
Company Profile

Manolis Kellis

Manolis Kellis is a professor of Computer Science and Computational Biology at the Massachusetts Institute of Technology (MIT) and a member of the Broad Institute of MIT and Harvard. He is the head of the Computational Biology Group at MIT and is a Principal Investigator in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT.

Education and early career
Kellis was born in Greece, moved with his family to France when he was 12, and came to the U.S. in 1993. He obtained his PhD from MIT, where he worked with Eric Lander, founding director of the Broad Institute, and Bonnie Berger, professor at MIT 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. == Research and career ==
Research and career
As of April 2025, Manolis Kellis has authored 250 journal publications that have been cited 190,000 times. He has helped direct several large-scale genomics projects, including the Roadmap Epigenomics project, the Encyclopedia of DNA Elements (ENCODE) project, the Genotype Tissue-Expression (GTEx) project. Comparative genomics Kellis started comparing the genomes of yeast species as an MIT graduate student. As part of this work, which was published in Nature in 2003, mammals, and yeast. Epigenomics Kellis co-led the NIH government-funded project to catalogue the human epigenome. He said during an interview with MIT Technology Review Disease Mechanism To date, his lab has developed specific domain expertise in obesity, ALS and FTLD, and cancer. with Profs. Ron Rivest, Erik Demaine, Piotr Indyk, Srinivas Devadas and others. He is also teaching a computational biology course at MIT, titled "Computational Biology: Genomes, Networks, Evolution." The course (6.047/6.878) is geared towards advanced undergraduate and early graduate students, seeking to learn the algorithmic and machine learning foundations of computational biology, and also be exposed to current frontiers of research in order to become active practitioners of the field. He started 6.881: Computational Personal Genomics: Making sense of complete genomes, and 6.883/9.S99: Neurogenomics: Computational Molecular Neuroscience This course is aimed at exploring the computational challenges associated with interpreting how sequence differences between individuals lead to phenotypic differences such as gene expression, disease predisposition, or response to treatment. Awards and honors Kellis received the US Presidential Early Career Award for Scientists and Engineers (PECASE), the National Science Foundation CAREER award, a Sloan Research Fellowship, the Gregor Mendel Medal for Outstanding Achievements in Science by the Mendel Lectures committee, the Athens Information Technology (AIT) Niki Award for Science and Engineering, the Ruth and Joel Spira Teaching award, and the George M. Sprowls Award for the best Ph.D. thesis in Computer Science at MIT. He was named as one of Technology Review's Top 35 Innovators Under 35 for his research in comparative genomics Media appearances Decoding A Genomic Revolution, TEDx Cambridge, 2013 "MIT Computational Biologist Manolis Kellis gives us a glimpse of the doctor's office visit of the future, and uses his own genetic mutations to show us how a revolution in genomics is unlocking treatments that could transform medicine as we know it" • Regulatory Genomics and Epigenomics of Complex Disease, Welcome Trust, 2014 "Manolis Kellis, Massachusetts Institute of Technology, USA, gives one of the keynote lectures at Epigenomics of Common Diseases, (28-31 October 2014), organised by the Wellcome Genome Campus Advanced Courses and Scientific Conferences team at Churchill College, Cambridge • Manolis Kellis Reddit Ask Me Anything (AMA), Reddit Science AMA Series: "I'm Manolis Kellis, a professor of computer science at MIT studying the human genome to learn about what causes obesity, Alzheimer's, cancer and other conditions. AMA about comp-bio and epigenomics, and how they impact human health". == References ==
tickerdossier.comtickerdossier.substack.com