Aasthaa Bansal

Affiliate Professor; Edwin S.H. Leong Chair in Data Science for Child Health at the Institute of Health Policy, Management and Evaluation, University of Toronto

CHOICE Affiliate Faculty, Department of Pharmacy, School Faculty

Email: abansal@uw.edu

Expertise:

Causal inference, Claims Data, Comparative Effectiveness Research, Health Services Research, Oncology, Pharmaceutical and health outcomes research, Predictive Modeling, Quantitative techniques, Real World Data Methods, Value of Information Analysis

Dr. Bansal is an Associate Professor and the Edwin S.H. Leong Chair in Data Science for Child Health at the Institute of Health Policy, Management and Evaluation, University of Toronto and The Hospital for Sick Children. Prior to joining the University of Toronto in September 2025, Dr. Bansal served on the faculty at The CHOICE Institute and Department of Pharmacy for 12 years. Dr. Bansal’s research focuses on sequential decision-making using longitudinal data, prediction modeling, decision theoretic methods including value of information analysis, and comparative effectiveness and outcomes research using large healthcare claims databases and EHR data. She is the PI of a study to develop methods for cost-effective personalized risk-adaptive surveillance in cancer.

Education

Ph.D. Biostatistics, University of Washington, Seattle, WA
M.S. Biostatistics, University of Washington, Seattle, WA
B.Math. Honors Computer Science: Bioinformatics Option, University of Waterloo, Waterloo, Ontario

Courses Taught

BIOST 512: Medical Biometry II
HEOR 552 Application of Machine Learning in Health Economics and Outcomes Research

Research Interests

Clinical decision sciences
Development and evaluation of prediction models
Comparative effectiveness and outcomes research

Selected Publications

https://www.ncbi.nlm.nih.gov/myncbi/aasthaa.bansal.1/bibliography/public/