Marianne Arriola
Research Intern at NVIDIA
New York, New York, 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)
manifold10
geometry9
statistics9
gpu-programming9
language-model9
deep-learning8
machine-learning8
encoder-decoder3
large-language-models2
multimodal2
graph1
pytorch1
inference1
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
kuleshov-group/bd3lms
Mar 2025 - Jul 2026
[ICLR 2025 Oral] Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Contributions:5 PRs, 31 pushes, 1 branch in 1 year 4 months
language-model
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