Krembil Research Institute,
University Health Network
The Krembil Research Institute (or Krembil) is one of the principal research institutes of the University Health Network. Krembil is focused on research programs dedicated to brain & spine, arthritis and vision disorders with a goal to alleviate debilitating chronic disease through basic, translational and clinical research. Krembil is located at the Toronto Western Hospital in downtown Toronto. For more information, visit https://www.uhn.ca/Research/Research_Institutes/Krembil
Igor Jurisica, Ph.D.
Senior Scientist, Krembil Research Institute
Data Science Discovery Centre for Chronic Diseases
Principal Investigator, Mapping Cancer Markers
Dr. Jurisica's research focuses on integrative computational biology in the context of chronic diseases, alternative treatments and prevention. This involves representation, analysis and visualization of high-dimensional data to identify prognostic/predictive signatures, drug mechanism of action and in silico re-positioning of drugs. Interests include comparative analysis for mining different integrated data sets (e.g., protein-protein interactions, high-dimensional cancer data, life style measures, and high-throughput screens for protein crystallization). For more information on Dr. Jurisica's lab: https://www.cs.toronto.edu/~juris/
Christian Cumbaa, M. Math
Christian holds an M. Math in Computer Science from the University of Waterloo. He applies machine learning to Big Data problems in and around bioinformatics. His research interests include distributed machine learning algorithms and computer vision.
Max Kotylar, Ph.D.
Max holds a PhD in Medical Biophysics from the University of Toronto. His research has focused on systems biology projects including protein-protein interaction prediction, network approaches to phenotype prediction, and network model to characterize drug mechanism of action. His areas of expertise include bioinformatics, systems biology, and machine learning.
Chiara Pastrello, Ph.D.
Chiara holds a PhD in Medical Genetics from the University of Ferrara. Her areas of expertise include network biology and molecular biology. Her research interests include network modeling of disease protein-protein interactions, functional characterization of cancer mutations, and databases curations.
Davide Chicco, Ph.D.
Davide has a doctorate degree in computer engineering from Politecnico di Milano university. He works on applying machine learning and computational intelligence methods to bioinformatics and health-related datasets. His scientific research interests include supervised binary prediction of patients' outcome and clinical feature ranking.
Previous Research Team Members
Anne-Christin Hauschild, Ph.D.
Mike Tsay, M. Sc.