Welcome to my homepage, have a nice day.
About me: Hello world! I’m Quan Pham, a PhD student at the National University of Singapore (NUS), where I am fortunate to be advised by Prof. Wee Sun Lee. Before that, I earned a bachelor’s in Data Science from Hanoi University of Science and Technology, then spent time as an AI Resident at VinAI Research (with Prof. Trung Le and Prof. Dinh Phung) and Qualcomm AI Research (with Dr. Tung Pham and Dr. Hung Bui).
Most of my days revolve around research, and I really enjoy that rhythm. The repetition does not feel boring to me; instead, it has taught me resilience, patience, and focus. Outside of research, I enjoy playing games, watching films, and, especially, traveling to new places.
Writing
Updates
[Jun 2026] One paper was accepted to the ICML 2026 AI4Math workshop.
[Feb 2026] I received PhD admission and a research scholarship from the National University of Singapore.
[Nov 2025] I am actively looking for a PhD position. Good luck to me!
[Jun 2025] I will attend ICML 2025. Let’s connect!
[May 2025] Two papers were accepted to ICML 2025.
[Apr 2025] I joined Qualcomm AI Research as an AI Resident.
[Dec 2024] I achieved an IELTS Academic band score of 7.0!
[Aug 2024] I joined VinAI Research as an AI Resident.
[Apr 2024] My first paper was accepted at ICASSP 2024.
Research Interests
I am interested in self-evolving agents and their applications to scientific research. I aim to develop agentic systems that effectively support researchers and the broader academic community.
My current focus is on scalable, hierarchical skill libraries that allow agents to retrieve and reuse skills across tasks. I study how agents can build, organize, and continually improve these libraries through experience and feedback.