Jennifer Zhou

Graduate Student Researcher

Cambridge, Massachusetts, United States
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Summary

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Rockstar
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Jennifer Zhou is a graduate student researcher at Harvard specializing in memory systems, HW/SW co-design, and characterization of LLM inference workloads. With six years of experience spanning tapeouts, GPU/DRAM simulator integration, and custom memory-controller design for TSMC16, she has boosted ML streaming bandwidth by 1.7x and led ML-guided DSE of chipletized architectures. Her work models real-world LLM request patterns to quantify throughput and latency trade-offs across disaggregated inference deployments, bridging rigorous academic research with practical system design. A UC Berkeley EECS alum who helped tape out prototype cores and taught VLSI and FPGA labs, she combines deep hardware expertise with software tooling experience from an internship on Facebook’s Presto team. Based in Cambridge, MA, she is equally comfortable authoring simulators and leading teaching teams, and she leverages fine-grained design tuning to translate workload insights into silicon-level optimizations.
code6 years of coding experience
job2 years of employment as a software developer
bookBachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at UC Berkeley College of Engineering
bookGraduate Student, Computer Science, Graduate Student, Computer Science at Harvard University
bookHigh School Diploma, High School Diploma at BASIS Independent Silicon Valley
languagesChinese, English
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Github Skills (29)

hardware-designs10
risc-v10
rocket10
java10
risc10
soc10
sql10
electrical-engineering10
chisel10
agile10
hadoop9
computer-architecture9
vlsi9
sql-query9
superscalar9

Programming languages (8)

JavaC++ScalaTeXJavaScriptVerilogHTMLPython

Github contributions (5)

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Contributions:2 PRs, 20 pushes, 1 branch in 3 months
jzhou1318/TheMuse

May 2020 - Jan 2021

Contributions:2 pushes, 1 branch in 7 months
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