How to join my research group
Former Students and Postdocs:
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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 about 1 graduate student per year. That means that pretty much all students who I admit have already done closely related research. Never say never, but it's probably worth applying only if you've already done research related to an area that I work on. I realize that this partly defeats the purpose of graduate school.
What about visiting?
I'm not categorically against it, but only accept visitors under exceptional circumstances.
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, 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:
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, 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:
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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:
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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:- Probability Theory: The Logic of Science by E. T. Jaynes
- Information Theory, Inference, and Learning Algorithms by David Mackay
- Quantum Computing Since Democritus by Scott Aaronson