Michelle Strout
Affiliate Professor
Tucson, Arizona, United States
Summary
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Rockstar🎓
Top SchoolMichelle Strout is a Distinguished Technologist at HPE and an Affiliate Professor at the University of Arizona, with a career bridging high-performance compiler research and production-grade parallel language development. She leads work on Chapel, contributing deep expertise in sparse matrix implementations, array domains, and LinearAlgebra modules that improve correctness and maintainability in a prominent open-source parallel programming language. Her research portfolio spans programming languages, compilers, the polyhedral model, and inspector-executor techniques like the Sparse Polyhedral Framework, with practical innovations such as the Universal Occupancy Vector and loop-chaining strategies. Michelle combines academic rigor—from a Ph.D. and an Enrico Fermi postdoc—with decade-plus faculty experience translating theory into tools and team leadership. Known for fixing subtle indexing and storage-mapping bugs, she brings a meticulous, systems-level mindset to both research and large-codebase engineering. Based in Tucson, she excels at moving advanced compiler techniques into production-quality implementations that scale on modern HPC platforms.
11 years of coding experience
13 years of employment as a software developer
University of California, San DiegoBryan High School
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
sparse-matrix10
chapel10
linear-algebra10
programming-language9
compiler-compiler9
compiler9
Programming languages (13)
Github contributions (5)
chapel-lang/chapel
Feb 2021 - Jun 2022
a Productive Parallel Programming Language
Role in this project:
Backend Developer
Backend DeveloperContributions:98 reviews, 67 commits, 27 PRs in 1 year 3 months
Contributions summary:Michelle primarily contributed to the Chapel project by modifying code related to sparse domain and array implementations, as well as the LinearAlgebra module. Their work included refactoring existing code, fixing off-by-one errors, and addressing issues related to indexing and data structures within the sparse matrix operations. The user also made changes to the documentation and test files to reflect the updates.
parallellanguage-designproductivecompilerparallel-programming
Spr19CS210/PA-Drill-Section-Writeups
Sep 2018 - Nov 2018
Contributions:70 commits in 2 months
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