About
I am a second-year graduate student in Computer Science at Princeton University advised by Professor Margaret Martonosi. My broad area of research is Computer Architecture and I am 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. Additionally, this platform rapidly adapts to the increasingly flexible and blurred boundary between software and hardware through various reconfigurable hardware features, depending on application characteristics. Currently, I am developing hardware-software co-design approaches to address the memory latency bottlenecks of irregular workloads in the domain 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 distributed systems, crowd computing and mobile architectures, and efficient hardware accelerator design with statistical learning for high-level synthesis parameter tuning.
I enjoy programming and have served as a software engineering intern at Lenovo, Cisco, and Adobe. I am also a 2017 Duke Technology Scholar.
Interests
- Hardware-software co-design
- Reconfigurable architectures
- Memory systems for graph/sparse applications
- Heterogeneous parallelism
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
