Dr. Shraddha Pai
Dr. Shraddha Pai
Dr. Shraddha Pai
Early-Career Investigator

Twitter: @spaiglass

Early-Career Investigator

Cancer is a group of related-but-different diseases with various underlying molecular networks that complicate treatment. Dr. Shraddha Pai’s research goal is to improve data-driven clinical decision-making by finding genomic and multi-omic signatures that match cancer patients to the most effective treatments with the fewest side effects.

Her team uses population-scale data with multiple layers of information (e.g. transcriptomic, DNA methylation, proteomic, brain imaging, clinical), and develops algorithms and software that incorporate prior knowledge of genotype-phenotype impact and systems-level organization for predictive modeling. Dr. Pai is also interested in the role of developmental epigenetics in altering the risk of childhood- and adult-onset disease.

Prior to joining OICR’s Computational Biology Program, Dr. Pai led the development of netDx – a general-purpose patient classifier algorithm integrates heterogenous patient data into a single model to predict clinical outcome. It adapts a recommender system model similar to that used by Netflix (“find movies like this one”) to precision medicine (“find patients like non-responders”), and uses prior knowledge of cellular pathways to organize genomic data. Separately, Dr. Pai co-led the first epigenome-wide association study in neurons isolated from post-mortem brain samples in major psychosis. This study led to the identification of a novel biomarker that unifies two distinctive features of psychosis: dopaminergic increase and reduced synaptic structure.

Dr. Pai’s work and expertise in genomics and precision medicine apply to cancer as well as other diseases with genomic contribution.

Experience & Education
  • Postdoctoral Fellow, Bader Lab, University of Toronto
  • Postdoctoral Fellow, Department of Psychiatry, University of Toronto
  • Trainee, Precision Medicine Initiative at the University of Toronto (PRiME)
  • PhD, Cold Spring Harbor Laboratory
Current Affiliations
  • Early-Career Investigator, OICR
Select Publications

See more of Dr. Pai’s publications on Google Scholar.

Research Areas
Informatics and Data Standards
Disease Areas
  • Donnelly Centre Research Excellence Award, 2019
  • Brain & Behavior Foundation NARSAD Young Investigator Award, 2014
  • Canadian Institutes of Health Research Postdoctoral Fellowship, 2014
  • netDx: a patient classifier algorithm that can integrate several types of patient data into a single model
In the News
Ontario experts chart vision to advance machine learning for cancer care
Ontario experts chart vision to advance machine learning for cancer care
May 20, 2021