I am a first-year PhD student at University of Chicago, fortunately advised by prof Ce Zhang. I finished my master study in CS at ETH Zurich. During the master’s, I took a gap year at Meta AI working as an AI resident on LLMs and 3D computer vision. I was very fortunate to work with many talented folks and be supervised by Barlas Oğuz, Mike Lewis, and Gabriel Synnaeve. Before the master’s, I spent a year working on building search engines at ByteDance as a MLE. I graduated from NYU with honors in CS and was awarded with Prize for Outstanding Performance in CS.
With my previous works on CodeLlama and Llama 2 Long, I become very interested in AI systems, specially in developing efficient algorithms and systems for large-scale training and inference. I’m intrigued by how we could improve model alignment and understand the science behind these foundation models.
{last_name}{first_name} AT student DOT ethz DOT ch
Feel free to drop me an email for anything, especially for potential collaboration!!
PhD Student in CS, Starting in 2024
University of Chicago
MS in Computer Science, 2024
ETH Zurich
BA in Computer Science with Honors, 2020
New York University
Research on large language models:
Research on 3D computer vision:
Reviewer for How Far Are We From AGI @ ICLR 2024
Reviewer for Long-Context Foundation Models (LCFM) @ ICML 2024
I was first trained as a game designer at NYU Game Center during my undergrad and became increasingly more interested in CS and AI. Despite that, I’m still very interested in game dev, physically-based rendering, and game AI.
During my free time, I enjoy playing chess (my favorite live-stream), electric guitars (my favorite instrumental band), and recently got obsessed with golf (a group of chilled golfers).