Multiple papers accepted at conferences such as ICDCS'25, TACO'23, MSR'23, etc. Involved in projects like 'Integrating Software Performance Analysis into CS Education' and 'Towards Efficient Cloud Services', which have been funded by NSF.
Research Experience
Assistant Professor at the University of Michigan-Dearborn; research focuses on developing program analysis tools to address performance issues.
Education
PhD from the College of William and Mary under the supervision of Xu Liu, developing lightweight memory profiling techniques to identify performance inefficiencies.
Background
Assistant Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn. Research focuses on building practical tools and techniques to expose various performance bottlenecks and optimization opportunities in software. As the complexity of computational systems increases, designing high-performance software/hardware is becoming more challenging.
Miscellany
Looking for self-motivated students interested in system research.