Raphael Meyer
Research Assistant at Purdue University
West Lafayette, Indiana, United States
Summary
👤
Senior🎓
Top SchoolRaphael Meyer is a Research Assistant at Purdue University with 11 years of experience at the intersection of theoretical computer science and applied machine learning. His work spans theoretical ML, deep learning, numerical linear algebra, big data algorithms, and secure multi-party computation, blending rigorous theory with practical algorithmic engineering. Trained at Purdue, Carnegie Mellon, and Stanford, he brings strong academic grounding to empirical problems and has industry experience from an internship at Bloomberg. Raphael is particularly adept at translating complex linear-algebraic insights into scalable algorithms for large datasets, and he maintains a concise professional presence with a public resume for deeper technical details.
11 years of coding experience
Viewpoint SchoolBachelor of Science (B.S.), Computer Science Honors, Bachelor of Science (B.S.), Computer Science Honors at Purdue UniversityCarnegie Mellon UniversityStanford University
English, French, Chinese, Russian
Github Skills (67)
clustering-algorithm10
scoring10
perl9
android-app9
kotlin8
timer8
ip8
extend7
cpp7
ipv47
python7
java7
android7
algorithms7
routeros7
Programming languages (8)
Github contributions (5)
raphaelmeyer/pico-synth
Jun 2023 - Sep 2024
Contributions:119 pushes, 18 branches in 1 year 3 months
raphaelmeyer/caverna
Sep 2014 - Dec 2019
An Android App for Scoring Games of "Caverna - The Cave Farmers"
Contributions:26 commits, 7 PRs, 26 pushes in 5 years 4 months
farmerscavegamesscoringandroid
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