Generated by GPT-5-mini| Manolis Kellis | |
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| Name | Manolis Kellis |
| Birth date | 1977 |
| Birth place | Heraklion, Crete, Greece |
| Nationality | Greek-American |
| Fields | Computational biology, Genomics, Epigenomics |
| Workplaces | Massachusetts Institute of Technology, Broad Institute, Harvard University |
| Alma mater | Massachusetts Institute of Technology, Harvard University |
| Doctoral advisor | Eric Lander |
Manolis Kellis is a computational biologist and genomicist known for contributions to comparative genomics, epigenomics, and the computational analysis of regulatory genomics. He led multidisciplinary teams that combined high-throughput sequencing, machine learning, and comparative analysis to map regulatory elements across species and human tissues. His work influenced projects at major institutions and collaborations with leaders in genomics, neuroscience, and medicine.
Born in Heraklion, Crete, Greece, Kellis studied in Greece before moving to the United States for higher education, attending Massachusetts Institute of Technology for undergraduate studies and graduate training. At Harvard University and the Broad Institute, he completed doctoral and postdoctoral work under advisors associated with the Human Genome Project era and collaborators from the Whitehead Institute, studying comparative genomics and regulatory evolution. His formative mentors included figures from MIT Department of Biology, the Broad Institute faculty, and researchers involved in the ENCODE Project and the Genome Project-Write era initiatives.
Kellis became faculty at Massachusetts Institute of Technology and a group leader at the Broad Institute, where he built a lab focused on integrative analysis of sequencing data. He collaborated with teams from the ENCODE Project, the Roadmap Epigenomics Project, the GTEx Consortium, and the 1000 Genomes Project to develop computational methods for interpreting noncoding variation linked to Alzheimer's disease, Type 2 diabetes, and cancer studies from groups at Dana–Farber Cancer Institute and Harvard Medical School. His group applied machine learning and comparative approaches similar to those in work from Google DeepMind and the Allen Institute for Brain Science to annotate regulatory elements and chromatin state dynamics across tissues including brain, liver, and pancreatic islets. Projects involved partnerships with clinical researchers at Massachusetts General Hospital, neuroscience groups at MIT McGovern Institute for Brain Research, and international collaborators from the European Bioinformatics Institute and the Wellcome Sanger Institute.
Kellis led computational frameworks for identifying conserved noncoding elements through comparisons across dozens of vertebrate and mammalian genomes, building on methods used in the ENCODE Project and comparative studies from the Human Genome Project era. He contributed to epigenomic maps produced in coordination with the Roadmap Epigenomics Project and the ENCODE Project, revealing tissue-specific enhancers and promoters implicated in complex traits studied by the GIANT Consortium and the International HapMap Project. His lab developed algorithms to predict chromatin states and regulatory motifs, complementing functional assays from groups at the Broad Institute and technology advances by companies like Illumina and Pacific Biosciences. Notable discoveries included linking noncoding variants to disease mechanisms in collaborations with researchers from the Alzheimer's Disease Sequencing Project, the Diabetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, and cancer consortia such as the The Cancer Genome Atlas and the International Cancer Genome Consortium. He also advanced single-cell and spatial genomics analyses aligned with efforts from the Human Cell Atlas and the BRAIN Initiative.
Kellis received recognition from academic and scientific institutions, including awards and fellowships associated with MIT, the Broad Institute, and research prizes connected to genomics and computational biology societies. He participated in advisory roles for consortia like the ENCODE Project and was invited to contribute to international workshops hosted by the National Institutes of Health and the European Molecular Biology Laboratory. His group’s papers were published in journals and preprint forums frequented by contributors from Nature, Science, and Cell-aligned research communities.
Kellis engaged in public outreach through talks at venues including MIT symposiums, Harvard Medical School seminars, and scientific meetings run by the American Association for the Advancement of Science and the Gordon Research Conferences. He collaborated with interdisciplinary teams spanning computational groups at Stanford University, experimental groups at Cold Spring Harbor Laboratory, and clinical partners at Beth Israel Deaconess Medical Center. Outside research, he maintained ties to Greece and scientific programs that connect European centers such as the European Bioinformatics Institute and Greek institutions in Crete.
Category:1977 births Category:Living people Category:Computational biologists Category:Massachusetts Institute of Technology faculty