Austin Ebel
Ph.D. Student at New York University
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAustin Ebel is a Ph.D. student at New York University with eight years of software and research experience spanning academic and government labs. He builds at the intersection of electrical engineering, computer science, and machine learning, bringing practical systems experience from internships at NASA JPL and Langley to research roles at Columbia and NYU. His background combines dual BS degrees in Computer Science and Electrical Engineering with hands-on software engineering on mission-critical projects. Austin is comfortable moving between low-level systems and ML research, and his trajectory suggests a focus on translating academic ideas into deployable software. Based in New York, he blends rigorous research training with applied engineering instincts, often tackling problems that require cross-disciplinary fluency. A detail that sets him apart is sustained early-career engagement with NASA centers, signaling experience with high-assurance, production-constrained environments.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at Columbia University in the City of New YorkBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at William & Mary
Github Skills (2)
geometry-processing4
cpp3
Programming languages (1)
Github contributions (2)
Whisperrr/SensitivityRandomizer
Aug 2019 - Mar 2022
Randomize mouse sensitivity over time.
Contributions:3 releases, 75 commits, 73 pushes in 2 years 7 months
libigl/libigl
Jun 2018 - Jun 2018
Simple MPL-2.0-licensed C++ geometry processing library.
Contributions:1 issue in 1 day
cppgeometry-processing
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