Michael Brudno is a Canada CIFAR AI Chair at the Vector Institute, a professor in the School of Computer Science at the University of Toronto, and the chief data scientist at the UHN.
Brudno’s work focuses on the capture of structured phenotypic data from clinical encounters, using both refined user interfaces, and mining of unstructured data (based on machine learning methodology), and the analysis of omics data (genome, transcriptome, epigenome) in the context of the structured patient phenotypes, mostly for rare diseases.
His overall research goal is to enable the seamless automated analysis of patient omics data based on automatically captured information from a clinical encounter, thus streamlining clinical workflows and enabling faster and better treatments.
- Alfred P. Sloan Research Fellow, 2010-2012
- Ontario Early Researcher Award (ERA), 2009-2014
- European Conference in Computer Systems (Eurosys) Best Paper Award, 2009
- Canada Research Chair (CRC) in Computational Biology, 2006-2011; 2011-2016
- Intelligent Systems in Molecular Biology (ISMB) Best Paper Award, 2004
- Skreta, M., Arbabi, A., Wang, J., & Brudno, M. (2020). Training without training data: Improving the generalizability of automated medical abbreviation disambiguation. In Machine Learning for Health Workshop (pp. 233-245). PMLR.
- Chang, W. H., Mashouri, P., Lozano, A. X., Johnstone, B., Husić, M., Olry, A., ... & Brudno, M. (2020). Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes. Genetics in Medicine, 1-10.
- Wang, J., Xiao, X., Wu, J., Ramamurthy, R., Rudzicz, F., & Brudno, M. (2020). Speaker attribution with voice profiles by graph-based semi-supervised learning. Proc. Interspeech 2020, 289-293.
- Arbabi, A., Adams, D. R., Fidler, S., & Brudno, M. (2019). Identifying clinical terms in medical text using Ontology-Guided machine learning. JMIR medical informatics, 7(2), e12596.
CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.