Prof. Dr. Igor Jurisica, PhD.

The primary research focus is on integrative computational biology, and representation, analysis and visualization of high-dimensional data generated by high-throughput biology experiments. Of particular interest is the use of comparative analysis in the mining of different dataset types such as gene/protein expression profiling, protein-protein interaction of neurodegenerative diseases with special focus on various tauopathies and Alzheimer’s disease. The main goal is to improve and personalize treatment of neurodegenerative diseases by making it possible to detect them earlier, identify high-risk patients, and to customize the treatment. To this end we aim to identify markers that can be used to detect neurodegeneration earlier; identify high-risk patients and to find markers that can predict treatment response.

Professor Jurisica is a Senior Scientist at Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute and Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Professor at University of Toronto and Visiting Scientist at IBM CAS. Since 2015 he has served as Chief Scientist at the Creative Destruction Lab, Rotman School of Management, and since 2021 he is a scientific director of the World Community Grid

His research focuses on integrative informatics and the representation, analysis and visualization of high-dimensional data to identify prognostic/predictive signatures, determine clinically relevant combination therapies, and develop accurate models of drug mechanism of action and disease-altered signaling cascades. He has published extensively on data mining, visualization and integrative computational biology, including multiple papers in Science, Nature, Nature Medicine, Nature Methods, J Clinical Oncology, J Clinical Investigations. He has been included in Thomson Reuters 2014, 2015 & 2016 lists of Highly Cited Researchers (http://highlycited.com), and The World’s Most Influential Scientific Minds: 2015 & 2014 Reports. In 2019, he has been included in the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare list (Deep Knowledge Analytics, http://analytics.dkv.global).

2016 Thomson Reuters highly cited researcher (www.highlycited.com/); Out of 127 in computer science and 3,266 world-wide in 21 fields of science

2015 Thomson Reuters highly cited researcher; Out of 108 in computer science and 3,125 world-wide in 21 fields of science

2014 Thomson Reuters highly cited researcher; Out of 117 in computer science and 3,215 world-wide in 21 fields of science

According to Thomson Reuters (2015 & 2014 Report), professor Jurisica belongs to The World’s Most Influential Scientific Minds.

Publications

URL: https://www.cs.toronto.edu/~juris/jlab/publications.html

URL: https://pubmed.ncbi.nlm.nih.gov/?term=jurisica&sort=date