PhD student · Machine Learning and Optimization Lab, EPFL
Hi, thanks for stopping by :) I'm Dongyang (pronounced Don-Young), a 4th-year PhD student at EPFL advised by Prof. Martin Jaggi.
I study LLMs from two angles: building them, so that they learn efficiently from data and can be developed and trained collaboratively across many parties; and measuring them, tracking frontier capabilities through evaluation and benchmarking.
I'm on the 2027 job market, looking for industry research positions in LLMs, agents, and related fields. I'm currently a research intern at NVIDIA working on agentic memory and continual learning, and was previously a research intern at DatologyAI, where I worked on synthetic data generation.
What makes training data valuable, and how do we use it well and responsibly?
How do we track model capabilities and performance over time?
How can models be built from specialized parts, and trained by many parties together?
* equal contribution · WS = Workshop
I like arts and culture. I'm also an outdoorsy person: I hike, ski, and sail, and I paint from my hiking trips 🌼
