![](/~yjruan/assets/img/avatar.jpg)
Yangjun Ruan
Ph.D. Candidate, Computer Science
Machine Learning Group
University of Toronto & Vector Institute
Email: yjruan [at] cs [dot] toronto [dot] edu
I am a Ph.D. student in Computer Science at University of Toronto, where I am fortunate to be advised by Chris Maddison and Jimmy Ba. Currently, I am also a visiting scholar at Stanford University, hosted by Tatsunori Hashimoto.
Previously, I was a student researcher at Google Research and a research intern at Microsoft Research. In summer 2019, I was a visiting student at UCLA, where I worked with Cho-Jui Hsieh. I obtained my Bachelor degree in Information Engineering from Zhejiang University.
Research
My research focuses on the scaling, evaluation, and alignment of language models and agents, especially as they approach or exceed super-human performance levels.
Collaboration opportunities: I am always open to discussion on research ideas and collaboration. If you are a student at UofT with interests in language models, agents, AI safety or other related topics, please do not hesitate to reach out to me!
Selected Publications [Full List]
* below denotes equal contribution
Services
- Conference reviewer: NeurIPS (2020-), ICLR (2021-), ICML (2021-)
- Workshop reviewer: NeurIPS Workshop on DGMs Applications (2021), ICML Workshop on Pretraining (2022)
Selected Awards & Honors
- Ontario Graduate Scholarship, 2023
- DiDi Gruduate Student Award, 2021
- CHU Kochen Scholarship (highest honor at Zhejiang University), 2019.
- Cross-disciplinary Scholars in Science and Technology (CSST), UCLA, 2019.
- National Scholarship (top 1.5%), 2017, 2018, 2019.
- Meritorious Winner, Interdisciplinary Contest in Modeling (ICM), 2018.