We develop computational models to interpret and predict the impact of individual variation in the genome, transcriptome, and proteome. The models are being applied to cancer genomics, unclassified variants in Mendelian disease genes, and complex disease genetics. In collaboration with clinicians, pathologists, and experimental biologists, we aim to make significant improvements in individualized medicine within the next five years.
Assistant Research Scientist
Department of Biomedical Engineering
Institute for Computational Medicine
Assistant Research Scientist
Institute for Computational Medicine
Johns Hopkins Applied Physics Lab
Ph.D. Graduate Student
Department of Biomedical Engineering
Institute for Computational Medicine
Ph.D. Graduate Student
Department of Human Genetics
Institute for Computational Medicine
Masters student
Department of Biomedical Engineering
Institute for Computational Medicine
Undergraduate student
Department of Chemical and Biomolecular Engineering
Institute for Computational Medicine
Undergraduate student
Department of Molecular and Cellular Biology
and Applied Math Stats
Institute for Computational Medicine