Brandon Chan


I'm currently pursuing a Masters Degree in Computer Science at Queen’s University, focusing on the application of Machine Learning and Big Data Analytics in healthcare. Passionate for technology and helping others, I've previously worked on image-guided surgical systems as a research assistant at Queen's University. I’ve also done work as a freelance web developer and graphic designer. Outside of work, I’m an avid outdoorsman and cook. From hiking up mountains to playing hockey, I love to spend my free time being active.


Queen's University

2017 - Present

Masters of Science (Computing)

Thesis: Integrative Analysis of Multimodal Data for Predictive Modeling in the Intensive Care Unit

Queen's University

2013 - 2017

Bachelors of Computing Honors

Thesis: Minimally Invasive Image-guided Scoliosis Method – A simulation study for vertebra movement interpolation

Graduated with distinction and honours standing


Teaching Assistant

2017 - Present

Queen's University, Kingston, Ontario

• To Prof. Farhana Zulkernine in CISC 452 "Neural and Genetic Computing"

• To Prof. Randy Ellis in CISC 204 "Logic for Computing Science"

Information Officer (Technology)


Graduate Computing Society, Kingston, Ontario

Research Assistant

2015 - 2017

Human Mobility Research Center, Kingston, Ontario

IT Director


Queen's Health Outreach, Kingston, Ontario

Orientation Leader


Queen's University, Kingston, Ontario

Summer Intern


United Communities, Calgary, Alberta


Refereed papers

Chan B, Auyeung J, Rudan JF, Ellis RE, Kunz M. Intraoperative application of hand-held structured light scanning: a feasibility study. Int J Comput Assist Radiol Surg. 2016 Jun 2016. 11(6):1101-1108

Refereed conference abstracts

R. E. Ellis, M. Kunz, B. Chan, A. Kashigar, D. Borschneck. (2017). Minimally invasive image-guided scoliosis method - A hybrid tracking approach. International Journal of Computer Assisted Radiology and Surgery. 31th International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS)

J Auyeung, B Chan, A Ibrahim, G Venne, S Pang, JF Rudan, G Fitchinger, M Kunz. Segmentation of tissue with the application of textural information, 30th International Congress & Exhibition on Computer Assisted Radiology and Surgery (CARS), Heidelberg, Germany, Jun 2016. Int J CARS (2016) 11 (Suppl 1):S216


Ontario Graduate Scholarship

2017 - 2018

Queen's University, Kingston, Ontario

Undergraduate Research Fellowship

2015 - 2016

Queen's University, Kingston, Ontario

Undergraduate Research Student Award

2013 - 2014

Natural Sciences and Engineering Research Council of Canada (NSERC)


Programming Languages & Tools


Feel free to contact me regarding work, opportunities or to just say hi!