Harnessing the power of big data and making sense of it, so we can make better population health decisions is the aim for data science guru and new Population Health Analytics Post-Doctoral Fellow Stacey Fisher.
After completing her Master of Science in Epidemiology at the University of Alberta and her PhD at the University of Ottawa, Stacey joined our lab at the University of Toronto. Stacey’s PhD work largely focused on supporting population health decision-making for dementia, including health resource planning and the development of preventative strategies.
Stacey was recently awarded a 2-year CIHR Post-Doctoral Health System Impact Fellowship in Equitable AI with Public Health Ontario. The overall aim of her post-doctoral work is to demonstrate and support public health applications of artificial intelligence (AI) and machine learning (ML). Specifically, Stacey will be developing an AI strategy for Public Health Ontario, supporting public health units in building capacity for AI, and developing risk prediction models using AI/ML methods and demonstrating their utility for public health activities.
This exciting undertaking aligns with Stacey’s research interests, which include population health, chronic disease prevention, the development and application of predictive risk algorithms, data science, and the use of machine learning methods for population health.
When Stacey isn’t crunching numbers you can find her flashing her nerdy side listening to podcasts, largely technology podcasts about Apple rumors. If this speaks to you—her favourites are the Accidental Tech Podcast and Connected.
Welcome to the Population Health Analytics Lab Stacey Fisher!