Published numerous academic papers, including Heimdall: Optimizing Storage I/O Admission with Extensive Machine Learning Pipeline [EuroSys '25], GPEmu: A GPU Emulator for Faster and Cheaper Prototyping and Evaluation of Deep Learning System Research [VLDB '25], etc.; received the Best Paper Award at SYSTOR '22.
Research Experience
Leads multiple research projects involving operating and storage systems, distributed (cloud) systems, and the application of machine learning in storage/systems. Involved in research groups/centers such as UCARE, Systems Group, and Chameleon.
Background
Professor at the University of Chicago, CS Dept., with research interests in Operating and Storage Systems, Distributed (Cloud) Systems, and Machine Learning for Storage/Systems (and vice versa).
Miscellany
Advises several PhD students, including Ruidan Li, Ray Andrew, Rani Ayu Putri, William Nixon, and others.