Marianne Arriola
Research Intern at Cornell Tech
New York City Metropolitan Area United States
Summary
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Rockstar🎓
Top SchoolMarianne Arriola is a PhD student and research intern specializing in diffusion language models, focused on parallel-token generation that improves quality, speed, and training efficiency. With six years of research experience spanning NVIDIA, Runway, MIT CSAIL, Caltech, and UC Santa Barbara, she bridges vision, graph, and protein-structure ML techniques to tackle cross-modal and scalable modeling challenges. Her recent work includes adapting autoregressive vision–language models into state-of-the-art diffusion VL models and contributing to deep learning efficiency research at NVIDIA. Based in the NYC metro area, she combines strong academic rigor with applied research instincts and a track record of translating geometric and biological insights into robust model architectures.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computing (College of Creative Studies), Bachelor of Science - BS Computing (College of Creative Studies) at UC Santa BarbaraDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Cornell TechModesto High School
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
geometric10
manifold10
geometry9
statistics9
gpu-programming9
machine-learning8
julia8
deep-learning7
graph1
pytorch1
graph-embedding1
pytorch-geometric1
graph-convolutional-networks1
Programming languages (3)
Github contributions (5)
mariannearriola/multi-access-key
Apr 2020 - Feb 2023
Identification key which enables the user to freely choose the characteristics of a species that are convenient to evaluate for species recognition.
Contributions:2 PRs, 1 push in 2 years 11 months
evaluatefreelycharacteristicsrecognitionwhich-key
mariannearr/bd3lms
Nov 2024 - Mar 2025
Contributions:57 pushes in 4 months
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