Zijie Zhou (周子杰)

I am an assistant professor at HKUST IEDA, starting August 2025. My current research mainly focuses on making Large Language Model (LLM) inference faster and more cost-efficient using operations research—including online optimization, scheduling, queueing, and resource allocation. I also work on classical OR topics like revenue management, online learning, and experiment design.

Before joining HKUST, I earned my PhD degree from MIT’s Operations Research Center (ORC) and Laboratory for Information & Decision Systems (LIDS) in 2025, advised by Professor Patrick Jaillet and Professor Chara Podimata. During my PhD, I interned at Microsoft Research and Oracle Lab. I hold a Bachelor’s degree in Honors Mathematics & Honor Statistics from Purdue University in 2021, where I was mentored by Professor Jonathon Peterson. 

Here is my CV, and Google Scholar. You can also find my publications in the 'Research' page, and my teaching information in the 'Teaching' page.