About me
I am a Ph.D. candidate in the Applied Optimization Lab supervised by Prof. Timothy C. Y. Chan in the Department of Mechanical and Industrial Engineering. My research focuses on optimization methods and applications of machine learning as they relate to cancer treatment planning.
News
- I led an 2020 AAPM Grand Challenge called OpenKBP to encourage fair and consistent comparisons of dose prediction methods for knowledge-based planning. Please refer to the OpenKBP Github repository to access our large open-access dataset for KBP research.
- I am collaborating on a project, which was featured in University of Toronto Engineering News, that helps hospitals and long-term care facilities staff essential positions during the COVID-19 pandemic. A demo of this initiative is available at Redeploy.ca.
- My work on cancer treatment planning was featured in Forbes, El País, Health Care Business News, Health Data Management, University of Toronto News, and UHN Research News.
- My paper was selected as Editors' Choice in the July 2018 edition of Medical Physics
Education
- Ph.D. Candidate, Industrial Engineering (Operations Research)
Department of Mechanical and Industrial Engineering, University of Toronto
Supervised by: Dr. Timothy Chan - M.A.Sc., Industrial Engineering (Operations Research), 2017
Department of Mechanical and Industrial Engineering, University of Toronto
Supervised by: Dr. Timothy Chan
Thesis: Knowledge-based automated planning for oropharyngeal cancer - B.Sc. (Hons.), Specialization in Physics, 2015
Department of Physics, Engineering, and Astronomy, Queen's Universtiy
Supervised by: Dr. Chandra Joshi
Thesis: The effect high-dose-rate brachytherapy implant deformations have on a treatment plan and evaluation parameters