Sancho McCann

Law, tech, writing, art.

I am en­ter­ing my third year at UBC’s Allard School of Law (class of 2021). I hope to do work that gives more of us more confidence in the out­comes of the le­gal sys­tem and gov­ern­ment de­ci­sion-mak­ing in gen­er­al. I’m also in­ter­est­ed in the many over­laps of law and tech­nol­o­gy.

I was on the Gale Moot team, am the Senior Editor at the Canadian Journal of Family Law, and or­ga­nize a read­ing group on Algorithmic Decision-Making and the Rule of 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.

The views ex­pressed on this blog are from my own per­son­al per­spec­tive and do not rep­re­sent those of the Department of Justice or the Government of Canada.

If you’d like to get up­dates from me when­ev­er I write some­thing, sign up for my tinylet­ter here.

Here’s where you can find me else­where on­line:

Selected publications

Sancho Mc­Cann, “Finding Harmony: Law Society of British Columbia v Trinity Western University”, Case Comment, (2019) 28 Dalhousie Journal of Legal Studies 95.

Sancho Mc­Cann, Object classification and lo­cal­iza­tion us­ing spa­tial­ly-lo­cal­ized fea­tures (PhD Dissertation, University of British Columbia, 2014) [un­pub­lished].

Sancho Mc­Cann & David G Lowe, “Spatially-lo­cal cod­ing for ob­ject recog­ni­tion” in 11th Asian Conference on Computer Vision (Springer, 2012) 204.

Sancho Mc­Cann & David G Lowe, “Local naive Bayes near­est neigh­bor for im­age classification” in Computer Vision and Pattern Recognition (IEEE, 2012) 3650.

Sancho Mc­Cann, “Atmospheric Sounding Visualization” (course re­port, Information Visualization, Department of Computer Science, University of British Columbia, 2006) [un­pub­lished].

A more com­plete list is at my Google Scholar profile.