Paul Atzberger
Professor Mathematics And Mechanical Engineering
Santa Barbara, California, United States
Summary
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Senior🎓
Top SchoolPaul Atzberger is a professor of Mathematics and Mechanical Engineering at UC Santa Barbara with over a decade of experience developing theoretical and computational methods at the nexus of stochastic analysis, statistical mechanics, scientific computing, and machine learning. His research is driven by concrete problems in soft condensed matter physics and biophysics—ranging from fluctuating hydrodynamics and SPDE analysis to polymeric fluids, lipid membranes, and nanoscale electrokinetics. He builds and analyzes numerical methods and inference tools that translate stochastic physical models into practical simulation and ML workflows, often bridging pure analysis with computational implementation. Based in Santa Barbara, he combines deep mathematical rigor (PhD, NYU) with a sustained focus on applications in microfluidics and molecular-scale biophysics, bringing methods-forward perspectives that inform both theory and experiment.
10 years of coding experience
5 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at New York University
Github Skills (31)
simulation10
lammps10
variational-autoencoder10
dimension-reduction10
journal9
topological-data-analysis9
dynamical-systems9
simulations9
geometric-algorithms9
point-cloud9
open-access9
nonlinear-dynamics8
machine-learning8
particle-system8
geometric-deep-learning7
Programming languages (4)
Github contributions (5)
atzberg/mlmod
Sep 2022 - Apr 2026
Machine learning package for data-driven modeling and simulation of particle systems, materials, and complex fluids (interfaces with LAMMPS MD package)
Contributions:3 releases, 154 pushes, 9 tags in 3 years 7 months
lammpsmachine-learningparticle-systemsimulationdata-science
atzberg/mango-selm
Jan 2016 - Dec 2022
Contributions:98 commits, 151 pushes, 1 branch in 7 years
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