Resume
Academic Achievements
- Links to CV, LinkedIn, and Google Scholar are provided for more information, but specific academic achievements are not directly listed.
Research Experience
- Focused on evaluating and eliciting capabilities in large, pre-trained sequence models, and improving model architectures and training/inference strategies through insights from interpretability research.
Education
- Pursuing a PhD in Computer Science at the University of Southern California, advised by Prof. Dani Yogatama.
Background
- A 4th-year CS PhD student at the University of Southern California, focusing on evaluating and eliciting capabilities in large, pre-trained sequence models. Also interested in developing better model architectures and training/inference strategies by leveraging insights from interpretability research.
Miscellany
- Connect via Twitter, GitHub, or email.