About Me
I am a Ph.D. candidate in Computer Science and Engineering at the University of Michigan. My research bridges computer architecture and software systems, demonstrating the importance of that bridge in realizing efficient web services via solutions that span the systems stack.
Modern web services require data centers that scale to hundreds of thousands of servers, i.e., hyperscale. With the end of Moore’s Law and Dennard scaling, system designers must optimize the fundamental performance vs. cost and energy efficiency trade-off. Although systems researchers and architects have long studied this trade-off, its hyperscale effects are less understood. At hyperscale, poor software and hardware design choices, even small ones, can cause a significant trade-off imbalance (e.g., diverse high-performance custom hardware cannot be deployed without losing economies of scale). My research shows that the software/hardware design space for hyperscale systems is too complex to manually identify optimal software/hardware designs. To achieve hyperscale efficiency, my work systematically characterizes software/hardware design space implications at hyperscale, and uses my characterization’s insights to develop scalable full-stack solutions that automatically self-navigate the complex design space. My systems solutions to improve hardware efficiency have been deployed in real hyperscale data centers and currently serve billions of users, saving millions of dollars and significantly reducing the global carbon footprint. Additionally, my hardware design proposals have influenced the design of Intel’s Alder Lake (Golden Cove and future generation) CPU architectures.
I am a recipient of the Facebook Fellowship, a Rackham Merit Ph.D. Fellowship, and a CIS Full-Tuition Scholarship. I was selected for the Rising Stars in EECS Workshop and the Heidelberg Laureate Forum. My research has been recognized with an IEEE Micro Top Picks distinction and has appeared in top computer architecture and systems venues like OSDI, ISCA, ASPLOS, MICRO, and HPCA.
My Ph.D. thesis is advised by Prof. Thomas F. Wenisch. Due to some interesting circumstances this past year, I had the incredible opportunity of working with Prof. David Brooks, Prof. Margo Seltzer, Prof. Peter M. Chen, and Prof. Baris Kasikci, while mentoring some of their students.
I am on the academic job market for tenure-track faculty positions. I expect to graduate in Spring 2021. I am interested in positions both in the US and abroad. Please reach out to me if you are hiring!
Education
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PhD in Computer Science, 2021 (expected)
University of Michigan
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M.S. in Embedded Systems, 2015
University of Pennsylvania
