Research Program and Theme
- Program: Cancer Technology and Data Science
- Theme: Computational Engineering and Data Science
Research Focus
Mohammed El-Kebir has worked on various cancer research topics, including tumor phylogenetics in the context of intra-tumor heterogeneity. El-Kebir develops algorithms to study the progression of a tumor from its initial stage, in which a healthy cell first mutates, to its final stages, in which tumor cells metastasize, invade, and colonize distant organs and tissues. His lab develops algorithms to reconstruct patterns of disease outbreak spread. One algorithm, called MACHINA, tracks the spread of cancer cells. He has also worked on a project under Jian Peng to predict response to cancer immunotherapy using a subclone-integrated machine learning model of neoantigen processing, presentation, and recognition. Learn more about Mohammed El-Kebir’s lab.
Other Campus Affiliations
- Associate Professor, Siebel School of Computing and Data Science
- Associate Professor, Electrical and Computer Engineering
- Affiliate, Carl R. Woese Institute for Genomic Biology
- Affiliate, National Center for Supercomputing Applications