Massimiliano Pasini
UT-ORNL Joint Assistant Professor at Oak Ridge National Laboratory
Oak Ridge, Tennessee, United States
Summary
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Senior🎓
Top SchoolMassimiliano Pasini is a UT-ORNL Joint Assistant Professor and R&D data scientist with a PhD in Applied Mathematics and 12 years of experience building scalable numerical algorithms, AI, and deep learning solutions for scientific and engineering applications on flagship supercomputers. He leads DOE-funded projects at Oak Ridge National Laboratory, translating numerical analysis and Monte Carlo expertise into production-ready ML workflows optimized for Summit, Perlmutter, and Frontier. His work blends rigorous mathematical foundations (numerical linear algebra, preconditioners, Monte Carlo methods) with high-performance implementations in MPI/CUDA, yielding substantial speedups and resilience for exascale-class simulations. Known for reducing time-to-solution through algorithmic and systems co-design, he also brings hands-on teaching experience and a track record of cross-lab collaborations that accelerate scientific discovery.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Emory UniversityMaster's degree, Mathematical Engineering - Computational Science and Engineering, Master's degree, Mathematical Engineering - Computational Science and Engineering at Politecnico di Milano
Italian, English, Spanish, French
Github Skills (57)
convolutional-neural-networks10
graph10
machine-learning10
graph-embedding10
pytorch-geometric10
graph-neural-network10
graph-convolutional-networks10
pytorch9
radiation9
deep-learning9
binding9
julia9
science9
performance-optimization8
transport8
Programming languages (4)
Github contributions (5)
allaffa/CompetitiveGradientDescent
Mar 2020 - Mar 2021
Contributions:31 PRs, 67 pushes, 13 branches in 11 months
ORNL/AADL
Oct 2020 - Oct 2022
Anderson Acceleration for Deep Learning
Contributions:5 reviews, 297 commits, 13 PRs in 2 years
deep-learningaccelerationtorchmachine-learningneural-network
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