Daniel Byrne
Software Engineer at Intel Corporation
Hancock, Michigan, United States
Summary
👤
Senior🎓
Top SchoolDaniel Byrne is a software engineer focused on modeling computer memory systems and optimizing heterogeneous memory management across single platforms. With 11 years of experience spanning research and industry, he holds a PhD in Computer Science from Michigan Technological University and currently works at Intel Labs. His background includes deep-cache modeling research under Dr. Zhenlin Wang, graduate research at Los Alamos National Laboratory, and practical simulation work at GE Aviation, blending rigorous theory with applied systems engineering. Daniel is skilled at turning complex memory hierarchies into efficient, testable designs and brings an academic mindset to production challenges. Based in Hancock, Michigan, he combines long-term research perspective with hands-on implementation experience at a leading semiconductor lab. An interesting detail: his trajectory bridges university IT operations to advanced memory architecture research, giving him uncommon visibility into both infrastructure pragmatics and cutting-edge hardware-software co-design.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Michigan Technological University
Spanish
Github Skills (26)
caching10
memory-allocation10
pluggable10
compile-time10
linux10
gdb10
lru10
memcached10
cache-control10
cpp10
replay10
in-memory9
redis9
scale9
concurrency9
Programming languages (2)
Github contributions (5)
intel/DTO
Sep 2023 - Apr 2025
A user level library for applications to transparently use Intel DSA.
Contributions:3 reviews, 2 PRs, 1 push in 1 year 6 months
byrnedj/CacheLib
Feb 2022 - Mar 2025
Pluggable in-process caching engine to build and scale high performance services
Contributions:4 reviews, 10 PRs, 307 pushes in 3 years 1 month
rediscachingscaleperformancecache
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