Muxin (Murphy) Tian
Hi, I’m Murphy Tian, an undergraduate researcher from the University of Toronto. I am fortunate to work with talented research advisors: Prof. Jiaxuan You at U Lab on agentic reinforcement learning and Prof. JunCheng Yang at Harvard MadSys Lab on LLM serving systems. I have open-source experience as a core contributor of OpenManus and a Google Summer of Code contributor to ChromiumOS, along with industry background from Microsoft Research Asia and Microsoft.
My research focuses on building more capable and accessible intelligence through two complementary directions:
Post-training and agentic systems
Exploring reinforcement learning methods for agent capabilities and frameworks for automatic agentic system generation and optimization.
Efficient systems for AI
Building inference optimization, scheduling, and resource management infrastructure to reduce the cost of serving large language models.
My long-term goal is to make AI tokens as inexpensive and dependable as basic utilities, so that advanced AI capabilities can become accessible to the broader public.
Feel free to reach out to explore potential research opportunities.