Noah Amsel
Research Scientist Intern at Adobe
New York, New York, United States
Summary
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Senior🎓
Top SchoolNoah Amsel is a PhD student in Computer Science at NYU and a research-focused software engineer with eight years of experience bridging theory and practice in deep learning, numerical analysis, and optimization. He has driven research projects at Adobe and Polymathic AI on agentic memory systems and transfer learning for physics-informed models, and built nonconvex optimization and network-simulation tools deployed at DOE and integrated into Qualcomm R&D. His work combines rigorous theory—published contributions to SIMODS on latent tree models—with pragmatic engineering that delivered order-of-magnitude speedups and productionized bandwidth and ABR improvements at Facebook. Comfortable moving from proofs to C++/Python implementations, he has a track record of extracting practical gains from theoretical ideas across domains like communication networks, phylogenetics, and fluid dynamics.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New York UniversityBachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Yale UniversityComputer Science, Computer Science at Hunter College High School
Stackoverflow
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Github Skills (46)
nlohmann-json9
python-bindings8
pybind118
torchtext7
machine-learning7
deep-learning7
python7
data-visualization6
streamlit6
developer-tools6
json6
pytorch6
data-science6
data-analysis5
gaussian5
Programming languages (5)
Github contributions (5)
NoahAmsel/GCN-4-Word-Sense-Induction
Dec 2018 - Dec 2018
Contributions:14 commits, 13 pushes, 1 branch in 7 days
NoahAmsel/NoahAmsel.github.io
Jul 2022 - Feb 2025
Contributions:13 pushes, 1 branch in 2 years 7 months
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