Scholar
Paul Vicol
Google Scholar ID: jywEQ-AAAAAJ
Google DeepMind
Citations & Impact
Citations
4,403
H-index
14
i10-index
16
Publications
20
Co-authors
20
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Published paper: 'Video models are zero-shot learners and reasoners'
- - Published paper: 'Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities'
- - Served as Area Chair or Reviewer for top conferences such as NeurIPS 2024, AISTATS 2025, and has been recognized as a Top 10% Reviewer multiple times.
Research Experience
- - Research Scientist at Google DeepMind, October 2022 - Present, working on Gemini Thinking Models.
- - Research Scientist Intern at DeepMind, 2021, hosted by Jeff Donahue and Karen Simonyan, also worked with Evan Shelhamer and Sander Dieleman, worked on Deep Equilibrium Models.
- - Student Researcher at Google Brain, 2020 - 2021, hosted by Jascha Sohl-Dickstein and Luke Metz, extended PES.
- - Research Scientist Intern at Google Brain, 2020, hosted by Jascha Sohl-Dickstein and Luke Metz, worked on Persistent Evolution Strategies (PES).
Education
- PhD in machine learning from the University of Toronto.
Background
- Research interests include reasoning in large language models, Gemini Thinking models, and image generation capabilities. Serves as the Managing Editor for Transactions on Machine Learning Research (TMLR).
Miscellany
- Enjoys salmon, maple syrup, and their combination (salmon candy). Loves water-based sports like swimming, skating, and skiing. Supports the Vancouver Symphony Orchestra and the Vancouver Opera. Plays the saxophone and guitar.
