Julius Berner

Research Scientist at NVIDIA

California, United States
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Summary

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Julius Berner is a research scientist at NVIDIA's Fundamental Generative AI Research group with eight years of experience bridging mathematical theory and practical deep learning. He holds a PhD in Mathematics from the University of Vienna and completed a Caltech postdoc focused on AI for science, bringing rigorous theoretical insight to generative modeling and neural solvers for PDEs. His background includes internships at Meta and NVIDIA, a visiting stint at ETH Zürich, and co-founding a consultancy that applied AI to industry problems, reflecting both research depth and real-world impact. Known for combining measure-theoretic and numerical perspectives, he develops models that are as principled as they are applicable to scientific domains. Based in California, he thrives at the intersection of theory, generative AI, and scientific computing.
code8 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Mathematics, 1.0, Doctor of Philosophy - PhD, Mathematics, 1.0 at University of Vienna
languagesEnglish, German, Italian
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Stackoverflow

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Github Skills (54)

fourier-transform10
pytorch10
pde10
neural-operator10
differential-equations10
uno10
transform10
partial10
partial-differential-equations10
tensorly10
approximation10
emotion-detection10
self-organizing-map10
reinforcement-learning9
ssreflect9

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Contextual Emotion Detection in Text (DoubleDistilBert Model)
Contributions:27 commits, 2 PRs, 25 pushes in 1 year 4 months
nlpemotionemotion-detectiontransformers-librarycontextual
Contributions:3 commits, 2 pushes in 8 months
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Julius Berner - Research Scientist at NVIDIA