Lisa Strug


Canada Research Chair in Genome Data Science

Tier 1 - 2018-01-01
Renewed: 2025-07-01
University of Toronto
Canadian Institutes of Health Research

416-813-7654
lisa.strug@utoronto.ca

Research involves


Developing new computer algorithms for genomic data that can predict disease severity for people with cystic fibrosis and how they will respond to treatment.

Research relevance


This research will lead to tools that can harness the power of genomic data to help deliver personalized, targeted cures and prevention strategies for many genetic diseases, including cystic fibrosis.

Research Summary


Genomic data are transforming how we understand and treat disease. Dr. Lisa Strug, Canada Research Chair in Genome Data Science, is developing advanced data science methods to make use of these data. She is uncovering the genetic factors that influence disease severity and treatment response, with a focus on cystic fibrosis, a genetic disease that causes mucus to build up in the lungs and digestive system. 

Strug has already identified key genetic regions that modify how cystic fibrosis affects individuals, paving the way for more personalized care. She and her research team are now using cutting-edge genome sequencing and multi-omic data integration to reveal the mechanisms behind these genetic effects. They are also identifying and prioritizing new drug targets for cystic fibrosis and other lung diseases. This research supports the development of tailored treatments for cystic fibrosis and could lead to insights that are relevant to many other complex diseases.