Welcome to Yingtao’s Homepage!

Biography

My name is Yingtao Luo (Ying-Tao Luo, 罗颖韬). I am a fourth-year Ph.D. student in joint Machine Learning and Public Policy program (with Heinz College and Machine Learning Department) at Carnegie Mellon University. My advisory committee members are Prof. Rema Padman at CMU, Prof. Reza Skandari at Imperial College London, Prof. Bryan Wilder at CMU, and Prof. Arman Kilic at MUSC. Before joining CMU, I primarily work with Prof. Jun Zhu at Tsinghua University, Prof. Qiang Liu at CASIA and many other wonderful people. I also worked at Damo Academy of Alibaba and Microsoft Research Asia for research intern.

I am very grateful for my collaborators and all the other great people from whom I learn a lot and get a lot of support. Their impacts have really shaped and transformed who I am now.

Methodology Interest

Sequential Decision-Making: Reinforcement learning agents for planning, reasoning, and human alignment.

LLM Agents and Foundation Models: Post-training and fine-tuning of multimodal large language models, agentic deep research systems, as well as large embedding model for efficient retrieval.