Jackson Loper
Applied Math PhD
Providence, Rhode Island, United States
Summary
👤
Senior🎓
Top SchoolJackson Loper is an applied mathematics PhD and software engineer with 11 years of research-driven experience in computer vision, neural data analysis, and compositional models developed at Brown University. He brings deep multi-language systems expertise (C/C++, FORTRAN, Python/Cython/SciPy, Java, Matlab, OCaml, Scheme) and practical exposure to OpenGL and distributed computing. His work spans building vision models, investigating neuronal synchrony with electrode arrays, and applying centroid estimation to stabilize gene-sequence alignment parameters. Equally comfortable with low-level performance engineering and high-level mathematical modeling, he thrives on turning theoretical ideas into working code. Based in Providence, RI, he pairs academic rigor with hands-on software design and a quirky long-term goal of human–machine intimacy that underscores his ambition to push interface and perception boundaries.
11 years of coding experience
2 years of employment as a software developer
2005 University of Rhode IslandBA Applied, Mathematics, BA Applied, Mathematics at 2004-2009 Brown UniversityUniversity of Virginia
Stackoverflow
525reputation
44kreached
5answers
7questions
Github Skills (167)
python10
ipython10
deep-learning10
linux10
ml10
neural-network10
js10
tensorflow10
nodejs10
rfc10
machine-learning10
deep-neural-networks10
javascript9
statistics9
spatial-regression9
Programming languages (11)
Github contributions (5)
jacksonloper/bardensr
Jun 2020 - Jun 2021
barcode demixing through nonnegative spatial regression
Contributions:76 commits, 11 PRs, 101 pushes in 1 year
bar-codespatial-regression
jacksonloper/markov-link-method
Apr 2018 - Jan 2019
Contributions:7 commits, 20 pushes, 1 branch in 9 months
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