Prospective Students

If you're interested in working with me, I suggest getting to know more about my research first, you can check out some talks or read some recent papers. Note, I am not a pure NLP researcher and will not accept students wanting to just work on NLP. I am looking for students with a particular interest in human cognition and an affinity for machine learning (you don't have to know it all yet!). I want students who not only want to read the latest and greatest AI papers, but also want to dive into psychology or linguistics literature. If that's you, awesome and read on.

To apply for either a research masters and PhD program with me you will need to follow these steps:

  • 1. Submit a Mila supervision request and indicate that you would like to work with me; I will be listed under associate members. (Opens Oct 15; closes Dec 1 2026)
  • 2. Send me an email describing a research problem or question you're interested in and a couple sentences on why interdisciplinary work interests you. The email must have the subject line: "AI-cogsci supervision interest".
  • 3. Apply to your program(s) of choice before their deadline:
    1. Masters in data science at HEC Montréal (English or French - applications close sometime early January)
    2. PhD in data science at HEC Montréal (English - applications close sometime early January)
    3. Masters in computer science at Université de Montréal (French, many English classes - applications close sometime early February)
    4. PhD in computer science at Université de Montréal (French, many English classes - applications close sometime early February)
If all goes well I will contact you for an interview mid-winter. A note about program offerings: My home department is Decision Sciences at HEC Montréal, though I am also an adjunct professor in Computer Science at Université de Montréal. In either case, you would be Mila affiliated. The data science and computer science programs differ in their requirements, and the universities also differ in their community offerings. Pick the option that best suits your goals or talk to me about it during the interview.