Colin Raffel

I'm an associate professor at the University of Toronto and an associate research director at the Vector Institute. My lab does research in the field of machine learning, which is in an era of scale — larger models trained on larger datasets are producing major advances across many applications. This scale comes at significant cost, which in turn prevents most researchers from participating in the development of state-of-the-art models. My lab therefore works on the following problems:

• Enabling decentralized collaborative development of models, including modular architectures, cheaply-communicable updates, and merging methods
• Developing more efficient training recipes
• Identifying and mitigating risks associated with large-scale models

Interested in joining our lab? Great! Please fill out this form (there's no need to contact me separately).