Manolis Kellis

Manolis Kellis is a Professor of Electrical Engineering and Computer Science at MIT, affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL). He leads research at the intersection of artificial intelligence, genomics, and computational biology, with a focus on healthcare applications. His work integrates machine learning, single-cell genomics, and systems biology to address complex diseases like Alzheimer’s and psychiatric disorders. Kellis is also involved in large-scale genomic projects such as GenCODE and ENCODE, advancing our understanding of gene regulation and disease mechanisms. His lab develops innovative tools for data analysis, including multimodal foundation models like Procyon and TDC-2.

Research Interests:

• AI-driven solutions for precision medicine and healthcare
• Single-cell and spatial genomics for disease dissection
• Computational methods for gene regulation and epigenomics
• Neurodegenerative diseases (Alzheimer’s, ALS) and immune system interactions
• Machine learning frameworks for biomedical data integration

Recent work highlights include multisensory gamma stimulation therapies for neurodegenerative diseases, epigenomic studies of psychiatric disorders, and foundational genomic resources such as ape genome sequencing. His research emphasizes translational impact, bridging computational innovation with clinical and biological insights.