Noah Kaplan is a doctoral researcher in computer architecture and hardware-software codesign at the University of Michigan with 12 years of hands-on experience across high-performance computing, machine learning, and data science. He analyzes complex algorithms that underperform on current hardware to pinpoint bottlenecks and propose novel hardware remedies, most recently applied to graph pangenomics workloads using VTune and PIN instrumentation. His background includes GPU optimization for leadership-class supercomputers, an architecture internship building core memory-system simulators, and published work on online anomaly detection and rare-category detection. Based in the San Francisco Bay Area, he combines rigorous academic training (PhD candidate, 4.0) with practical systems engineering, often bridging profiler-driven analysis and simulator-based microarchitecture design.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at University of Michigan
GED, 4.6 GPA, GED, 4.6 GPA at Mount Madonna School
Bachelors, Computer Science, 3.992 GPA, Summa Cum Laude, Bachelors, Computer Science, 3.992 GPA, Summa Cum Laude at Whitman College
DEPRECATED: use social-core and social-app-django. Previously: A version of python-social-auth with a couple tweaks to work with our unique notion of anonymous vs logged-in users.
Contributions:2 PRs, 1 branch in 5 years 5 months
couplepythonnotionsocial-authtweaks
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Noah Kaplan - Doctoral Researcher at University of Michigan