Principal Investigator
We study how humans and artificial agents learn, reason, explore, and build models of the world. Our work combines computational cognitive science, artificial intelligence, and behavioral experiments.
Lab Members
Max Mascini
MSc Student
Policy compression in online learning
Ivan Zareski
Undergraduate
Representation learning
Luisa El AmouriUndergraduate
Representation learning
Jeffrey QinUndergraduate (University of Waterloo)
World model discovery, planning
Undergraduate
Experiment infrastructure
Research Assistant (ICL)
Experiment infrastructure
PhD
Modelling human music perception
Research Collaborators
We collaborate with researchers across cognitive science and artificial intelligence.
- Cole WyethPhD Student, University of Waterloo
- Leonardo Hernández CanoPhD Student, MIT
- Bonan ZhaoAssistant Professor, School of Informatics, University of Edinburgh
- Emanuele SansonePostdoc, MIT
- Yewen PuAssistant Professor, Nanyang Technological University
- Kevin EllisAssistant Professor, Cornell
Joining the Lab
We have a number of projects on standby for talented undergraduate and graduate students. We welcome inquiries from research-oriented students interested in computational cognitive science and AI, incluing students inetrested in working with us remotely. Strong candidates are self-motivated and have quantitative research experience and an interest in developing computational models, running behavioral experiments, or both.
PhD students
I accept PhD students working in topics closely related to the lab's research. Prior research experience is expected; a MSc is not required.
MSc students
The MSc program at Dalhousie has a substantial coursework component, which limits time for research and therefore limits advisor funding that can be offered. I accept applications from Domestic MSc students who can support themselves with an external scholarship, such as CGRS-M (NSERC/CIHR/SSHRC). International MSc students are not eligible for CGRS-M, so I do not generally accept international MSc students.
Undergraduate students do not need prior experience with all of our research methods, but should have a strong interest in research, be mathematically inclined, willing to learn technical skills, and be able to work independently.
If you are interested in joining the lab, please email me with a brief description of your research interests, why you think there is a good fit with the lab, and your CV. We do not respond to AI-generated emails.