University of Toronto

Brian Lester is a Senior Research Engineer at Google Brain and a PhD student at the University of Toronto advised by Colin Raffel. His public work focuses on efficient adaptation of large language models, including prompt tuning and related methods.

Computer scientist, UC Berkeley professor, and Databricks co-founder and CTO. He created Apache Spark and works on systems for large-scale data, machine learning, and compound AI applications.

Yuwen Xiong is a Research Scientist at ByteDance Seed in the Bay Area. He received a Ph.D. from the University of Toronto's Machine Learning Group and previously worked at Waabi and Uber ATG.

Cem Anil is a research scientist at Anthropic and part of the company's Alignment Science team. His homepage says he recently completed a PhD at the University of Toronto and Vector Institute supervised by Roger Grosse and Geoffrey Hinton. He studies the intersection of deep learning and AI safety, especially robustness and generalization in large language models and scaling laws for dangerous capabilities.

Co-founder and CEO of Ideogram whose public homepage highlights work on self-supervised representation learning, generative modeling, and multimodal learning; previously a senior staff research scientist at Google Brain Toronto.

Research scientist at ByteDance Seed and final-year PhD student at the University of Toronto.

Siyuan Li is a research scientist at NVIDIA working on large language models, multimodal foundation models, and reinforcement learning. His homepage says he received a PhD in computer science from the University of Toronto in 2024 and previously worked at Meta AI, Microsoft Research, and Mila.

Brian Lester

Matei Zaharia

Yuwen Xiong

Cem Anil

Mohammad Norouzi

Shiyu Tian

Siyuan Li