Ruicheng Ao 敖睿成

Ruicheng Ao Email: aorc [at] mit (dot) edu Google Scholar CV I'm too fruitless. When you see this message I'm likely to being moyuing.

About Me

I'm a third year Ph.D. candidate in the Institute for Data, Systems, and Society (IDSS) of MIT. I am fortunate to be advised by Prof. David Simchi-Levi. My current research is dedicated to building novel theoretical and algorithmic frameworks for data-driven online decision- making. My current focus lies at the intersection of Operations Research (OR), Statistics, and Large Language Models (LLMs), exploring their multidirectional synergies. On one hand, I integrate rigorous methodologies from machine learning, statistics, and optimization to enhance the performance and efficiency of LLMs (OR and Statistics for LLM), with applications in areas such as LLM inference scheduling and routing. On the other hand, I investigate how the semantic understanding and reasoning capabilities of LLMs can tackle complex problems in OR and statistical modeling (LLM for OR and Statistics), forging new research pathways in domains like revenue management, inventory control, service systems, and experimental design. Through this interdisciplinary approach, I aim to develop more intelligent and efficient decision-making systems that leverage both classical optimization techniques and modern AI capabilities. I'm open to collaborate with anyone interested in related topics. Before joining MIT, I was advised by Prof. Zaiwen Wen, Prof. Yuejie Chi and Prof. Jing Dong. I received my bachelor's degree from School of Mathematical Sciences, Peking University in July 2023.

Summer 2025, I'm working as research intern in Wotao Yin's group and supervised by Xinshang Wang (who sits 16 hours besides me at company each day) at Alibaba, where I won awards twice in math competition. Spring 2025, I was working as research assistant (RA) in Prof. Thomas Magnanti's group for industry project concerning EV charger scheduling and installation.