Manolis Kellis

Manolis Kellis is a Professor of CS at the Massachusetts Institute of Technology, affiliated with the Department of CS. His research interests include AI for Healthcare and Life Sciences, Artificial Intelligence + Machine Learning, and Biological and Medical Devices and Systems. His work explores the intersection of AI and biomedical applications, with a focus on advancing healthcare through computational methods. Kellis maintains a profile page at https://www.eecs.mit.edu/people/manolis-kellis/ and can be contacted via email at manoli@mit.edu.

Manolis Kellis is a Professor of Computer Science at MIT and a member of the Broad Institute. His research focuses on integrating computational methods with biological data to understand complex systems in genomics, computational biology, and machine learning. His work includes large-scale projects such as the Encyclopedia of DNA Elements (ENCODE), the Genotype-Tissue Expression (GTEx) project, and the analysis of chromatin states across human cell types. Kellis develops algorithms for analyzing genomic data, including chromatin state discovery, regulatory motif identification, and the study of non-coding RNAs. His research bridges computational techniques with biological insights to uncover the regulatory mechanisms underlying gene expression and disease.