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.

Selected publications

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.