How to join my research group


Former Graduate Students and Postdocs:

How to apply as a student:

If you'd like to do a Master's or PhD with me, you can apply either through the Computer Science department or the Statistics department, depending on what type of classes you'd rather take. Most of my graduate students are in the CS program.

What are my chances?

Probably not good, unfortunately. There is a shortage of machine learning professors, since so many have gone to industry. I usually take 1-2 graduate students per year. That means that at this time, pretty much all students who I admit have already done closely related research. Never say never, but it's probably worth applying formally only if you've done related work that you can show, and are familiar with at least one area that I work on. I realize that this partly defeats the purpose of graduate school.

How to apply as a postdoc:

You should apply through the Vector Institute and put my name as a potential host.

Should I email you directly?

There's nothing wrong with that, and it's a good idea if you're a serious candidate. However I probably won't reply unless I can see you've put some thought into it. Please explain why you want to work with me specifically, what sort of things you've worked on, and what you'd be interested in learning more about or working on. Even better, explain which approaches you think are currently overhyped or underhyped. If you put the word "shibboleth", written backwards, in your email subject, I'll know that you've read this page.

Other potential advisors with similar interests:

Even if you're a strong candidate, I strongly recommend you apply to at least a few different advisors.


In addition to my collaborators in Toronto, here is a partial list of active professors whose research interests overlap substantially with mine, and whom I know well enough to recommend as potential advisors:


North America: Europe: Asia:
Again, there are great people everywhere, and this list is skewed towards people I have personally worked with. There also many great mentors in industry who I encourage my students to visit and work with.

What if I'm just getting started?

A couple of books that greatly influenced my thinking early on, discuss fundamental themes, are accessible without much background, and free to download are: Good luck!