Manolis Kellis

Manolis Kellis is a renowned Greek-American Computational Biologist and Professor at the Massachusetts Institute of Technology, known for his work in Genomics, Epigenomics, and Gene Regulation. His research has been influenced by collaborations with Eric Lander, David Haussler, and Michael Snyder, and has been published in top-tier journals such as Nature, Science, and Cell. Kellis's work has also been recognized by the National Institutes of Health, the National Science Foundation, and the Howard Hughes Medical Institute.

● Early Life and Education

Manolis Kellis was born in Greece and moved to the United States to pursue his higher education. He received his Bachelor's degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, where he was advised by Tommi Jaakkola and David Karger. Kellis then moved to the California Institute of Technology to pursue his Ph.D. in Computer Science, working under the guidance of Christof Koch and David Baltimore. During his time at Caltech, Kellis was also influenced by the work of Francis Crick, James Watson, and Rosalind Franklin.

● Career

Kellis began his career as a Postdoctoral Researcher at the University of California, Santa Cruz, working with David Haussler on Genome Assembly and Gene Finding. He then joined the Broad Institute as a Research Scientist, where he collaborated with Eric Lander and Stuart Orkin on the ENCODE project. In 2004, Kellis joined the faculty at the Massachusetts Institute of Technology as an Assistant Professor in the Department of Electrical Engineering and Computer Science, and was later promoted to Professor. Kellis has also held appointments at the Whitehead Institute, the Koch Institute, and the Harvard-MIT Division of Health Sciences and Technology.

● Research

Kellis's research focuses on the development of Computational Methods for analyzing Genomic and Epigenomic data. He has made significant contributions to the fields of Gene Regulation, Chromatin Biology, and Non-coding RNA function. Kellis's lab has developed several widely-used Bioinformatics Tools, including MEME Suite, PWMScan, and HOMER. His work has been influenced by collaborations with Michael Snyder, Anshul Kundaje, and Job Dekker, and has been published in top-tier journals such as Nature Methods, Genome Research, and Nucleic Acids Research. Kellis's research has also been recognized by the National Academy of Sciences, the American Academy of Arts and Sciences, and the International Society for Computational Biology.

● Awards and Honors

Kellis has received several awards and honors for his contributions to the field of Computational Biology. He was awarded the National Science Foundation CAREER Award in 2007, and the Alfred P. Sloan Research Fellowship in 2008. Kellis was also named a Howard Hughes Medical Institute Investigator in 2009, and a National Institutes of Health Director's Pioneer Award recipient in 2011. He has also received awards from the International Society for Computational Biology, the American Society of Human Genetics, and the Genomics and Proteomics Core Facilities at the University of Pittsburgh.

● Publications

Kellis has published over 200 papers in top-tier journals, including Nature, Science, Cell, and Genome Research. Some of his notable publications include "Identifying a knockout mouse model with a high-throughput screen" in Nature Biotechnology, "A high-resolution map of human chromosome 21" in Nature, and "Chromatin state discovery and representation" in Nature Methods. Kellis's work has also been featured in The New York Times, The Boston Globe, and Science Daily, and has been recognized by the National Academy of Sciences, the American Academy of Arts and Sciences, and the International Society for Computational Biology. Kellis has also served on the editorial boards of several journals, including Genome Research, Nucleic Acids Research, and Bioinformatics.