About
I am a fifth-year graduate student in Computer Science at Princeton University advised by Professor Margaret Martonosi. My broad area of research is Computer Architecture and more specifically, I am interested in optimizing data supply and memory management for graph applications. Throughout my PhD, I have been a contributor to the DECADES project, a full-stack system design that aims to improve the performance, power, and programmability of several emerging workflows in the broad areas of machine learning and graph analytics. This platform rapidly adapts to the increasingly flexible and blurred boundary between software and hardware through various reconfigurable hardware features, depending on application characteristics. I have developed hardware-software co-design and memory hierarchy approaches and am currently designing operating system techniques to address the memory latency bottlenecks of irregular workloads in the domains of graph and sparse applications.
Previously, I worked with Professor Benjamin C. Lee at Duke University, where I received my bachelor’s degrees in Electrical and Computer Engineering as well as Computer Science. My research involved investigating distributed systems, characterizing crowd computing and mobile architectures, and enabling efficient hardware accelerator design via statistical learning for high-level synthesis parameter tuning.
I am also a recipient of the NSF Graduate Research Fellowship and I am a 2017 Duke Technology Scholar.
Interests
- Hardware-software co-design
- Memory hierarchies/systems
- Domain-specific architectures
- Graph/sparse applications
Education
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Ph.D. in Computer Science, 2023
Princeton University
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M.A. in Computer Science, 2020
Princeton University
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B.S. in Electrical and Computer Engineering, Computer Science, 2018
Duke University
