Michael Brudno

Michael Brudno is a Professor in the Department of Computer Science at the University of Toronto. His research interests include computational medicine, computational biology, human-computer interaction, machine learning for clinical human-computer interaction, medical natural language processing, mobile devices in medicine, rare disease genomics and epigenomics. He is affiliated with the University of Toronto's Computer Science department and maintains a website at https://www.cs.toronto.edu/~brudno/public/.

Michael Brudno is a Professor of Computer Science at the University of Toronto and Chief Data Scientist at UHN. His research focuses on computational methods for genomic analysis, including sequence alignment, structural variation detection, and the integration of genomic data for disease discovery. He has contributed to major projects such as the ENCODE project and the Human Phenotype Ontology, emphasizing the intersection of computational biology and genomics. His work includes developing tools like SHRiMP and ProbCons for accurate genomic data analysis and advancing methods for diagnosing rare genetic diseases through large-scale genomic studies.