Streamline Clinical Workflows And Enable Faster And Better Treatments
I am a Computer Scientist specializing in Computational methods for the analysis of Medical data (Computational Medicine), working as a Professor at the University of Toronto and the Chief Data Scientist for the University Health Network (UHN). I am also a faculty member at the Vector Institute for Artificial Intelligence and the Scientific Director of HPC4Health, a private computing cloud for Ontario hospitals.
My work investigates the capture of structured phenotypic data from clinical encounters, using both refined user interfaces, and mining of unstructured data (mostly text mining, 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. Overall, my research goal is to streamline clinical workflows and enable faster and better treatments by creating seamless automated analyses of patient omics data based on automatically captured information from clinical encounters.
Aside from science and family, my other passions include playing soccer, biking, hiking, and cross-country skiing.
- PhD in Computer Science, 2004
- MS in Computer Science, 2003
- BA in Computer Science & History, 2000
University of California Berkeley
Areas Of Interest
- Computational Medicine
- Machine Learning in Medicine
- Biomedical Informatics
- Personalized Medicine
- Undiagnosed & Rare Diseases
- Clinical Phenotyping
- Genome Interpretation