Scholar
Johannes Brandstetter
Google Scholar ID: KiRvOHcAAAAJ
Johannes Kepler University (JKU) Linz
Citations & Impact
Citations
8,219
H-index
29
i10-index
46
Publications
20
Co-authors
24
list available
Publications
Resume (English only)
Academic Achievements
- Co-authored seminal papers in Higgs boson physics; Involved in the development of Aurora, a project focusing on large-scale PDEs, including weather and climate modeling.
Research Experience
- Leading the 'AI for data-driven simulations' group at the Institute for Machine Learning at Johannes Kepler University (JKU) Linz; Joined the Amsterdam Machine Learning Lab led by Max Welling; Subsequently worked at Microsoft Research for 2 years; Focused on Geometric Deep Learning, PDEs, and their neural surrogates during his time in Amsterdam.
Education
- PhD: Obtained after working several years at the CMS experiment at CERN; Advisor: Sepp Hochreiter; Year: Completed in 2018; Field: Physics.
Background
- Research Interests: Data-driven simulations, Geometric Deep Learning, Partial Differential Equations (PDEs) and their neural surrogates, large-scale PDEs (including weather and climate modeling). Professional Field: Machine Learning, Artificial Intelligence. About: Johannes Brandstetter is a Co-founder and Chief Scientist at Emmi AI and an Assistant Professor at JKU Linz.
Miscellany
- Vision: Disrupt industrial-scale simulations with AI, reducing computational costs, accelerating innovation, and driving industrial-scale engineering at unprecedented speeds.
