Emmett Borg
Education
Master of Engineering
University of Toronto | 2019
- Major in Operations Research in the Department of Mechanical and Industrial Engineering
Bachelor of Mathematics
University of Waterloo | 2017
- Business Administration specialization, Computer Science Minor, Co-operative Program
Experience
Analytical Lead | Google
July 2022 – present
- I serve as a strategic advisor, managing client relationships and measurement plans for a book of business primarily in the travel industry. I focus on the use of data-driven solutions such as experimentation and incrementality to drive business outcomes.
Data Analyst | Roche
March 2020 – July 2022
- Supported Breast and Gynaecology cancer programs with benchmarking, planning, and trial projections. Technical projects included developing simulation models for trial enrollment and an optimization model for trial country footprint selection.
Data Scientist | Ontario Health
June 2018 – March 2020
- Focused on improving healthcare access equality and reducing wait times for care in Ontario. My role involved providing advanced analytics for projects in areas such as cancer, imaging, surgery, and renal, including time-series forecasting for cancer drug utilization, simulation models for MRI wait times, and string-distance algorithms for treatment pathway concordance.
Volunteering
Board Member | Rabbit Rescue Inc.
March 2023 – present
- The rescue aims to save domestic rabbits from abandonment, neglect, illness or injury and inhumane conditions. [Link to website]
Published Papers
- Ieraci; Eberg; Forster; Murray; Borg; Habbous; Esensoy; Kennedy; Holloway. (2022). Development of population-level colon cancer pathway concordance measures and association with survival. International Journal of Cancer. [Link to paper]
- Sismondo; Sarhangian; Borg; Roberge; Berger (2020). Emergency Imaging After a Mass Casualty Incident: An Operational Perspective Via a Simulation Study. INFORMS Winter Simulation Conference. [Link to paper]
- Murray; Shalaby; Ieraci; Sniekers; Borg; Esensoy; Arias. (2019). Forecasting Ontario Oncology Drug Expenditures: A Hybrid Approach to Improving Accuracy. Applied Health Economics and Health Policy. [Link to paper]