I’m in my first year at UBC’s Allard School of Law (class of 2021). I want use law to help give the weakest of us a voice, in the justice system and in society in general. This includes civil liberties, especially free expression and defendents’ rights. I want to help with public legal education and access-to-justice initiatives, to give more of us more confidence in the outcomes of the justice system and other government decision-making processes. I’m also interested in copyright law.
I’m trained as a computer scientist. In that field, I’ve focused on visual object recognition, machine learning, and applications of deep neural networks.
Formerly: data scientist at Kobo, head of R&D at Shelfie, communications-and-development volunteer at the BCCLA, class 1 flight instructor (current but not active), Canadian Forces officer (Cadet Instructor Cadre), 2× Google intern.
Sancho McCann. “Object classification and localization using spatially-localized features.” Ph.D. Dissertation, University of British Columbia, 2014.
Sancho McCann and David G. Lowe. “Spatially-local coding for object recognition.” in 11th Asian Conference on Computer Vision, 204-217. Springer, Berlin, Heidelberg, 2012.
Sancho McCann and David G. Lowe. “Local naive Bayes nearest neighbor for image classification.” in Computer Vision and Pattern Recognition, 3650-3656. IEEE, 2012.
Sancho McCann. “Atmospheric Sounding Visualization.” course report, Information Visualization, Department of Computer Science, University of British Columbia, 2006.
A more complete list is at my Google Scholar profile.