I am a junior at the School of Computer Science, Carnegie Mellon University.
I care deeply about ensuring that Artificial Intelligence benefits humanity. My research interests span two halves. On the capability side, I work on open-endedness and self-improving agents, including automated discovery systems. On the safety side, I'm interested in interpretability and scalable oversight.
My hometown is Singapore. Bak chor mee, ramen, XO fish meehoon and beef rendang are some of my favorite foods. Outside of Computer Science, I enjoy photography (especially astrophotography), music (piano, guitar, beatboxing), badminton, and cooking :)
Blog post about a white paper on whether AI Scientists perform abductive reasoning that I wrote as part of CMU's 80-329 Philosophy And Causation course.
Blog post about a research project on Reasoning LLMs that I conducted as part of CMU's 76-101 Undergraduate First Year Writing course.
My first blog post + Life lessons from my internship at FlowState AI.
Alistair Cheong Liang Chuen*, Zerui Chen*, Soham Raychaudhuri, Seungone Kim, Young-Jun Lee, Dongyeop Kang
Oral @ NeurIPS 2026 Meta-Agents Workshop Poster @ NeurIPS 2026 Interpreting Agent Behavior Workshop Poster @ NeurIPS 2026 NewInML Workshop
Young-Jun Lee, Seungone Kim, Minki Kang, Alistair Cheong Liang Chuen, Zerui Chen, Seungho Han, Taehee Jung, Dongyeop Kang
Poster @ NeurIPS 2026 Main Conference Oral @ ACM CAIS 2026 AIDWild Workshop
Alistair Cheong, Haolin Cong, Tyler Yang, Dustin Miao
Research Project done partly during CMU's 11-785 PhD Intro to Deep Learning Course
Feb 2026 - Present
Mar 2026 - Present
Jun 2025 - Present