FAU MoD Lecture: Disruption in science and engineering happens at scale

Date: Mon. October 13, 2025
Event: FAU MoD Lecture
Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

FAU MoD Lecture: Disruption in science and engineering happens at scale
Speaker: Prof. Dr. Johannes Brandstetter
Affiliation: Johannes Kepler University

Abstract. In the era of LLM models, one gets notoriously confronted with the question of where we stand with applicability of large-scale deep learning models within scientific or engineering domains. The discussion starts by reiterating on recent triumphs in weather and climate modeling, making connections to computer vision, physics-informed learning and neural operators. Secondly, we discuss challenges and conceptual barriers which need to be overcome for the next wave of disruption in science and engineering. We showcase recent breakthroughs in multi-physics modeling, computational fluid dynamics, and related fields.

OUR SPEAKER

Johannes Brandstetter is an Associate Professor at Johannes Kepler University (JKU) in Linz and Co-founder and Chief Scientist at Emmi AI. How did his PhD studying Higgs boson decays at the CMS experiment at the Large Hadron Collider at CERN. In 2018, he joined Sepp Hochreiter’s group in Linz, Austria. He was an ELLIS Fellow at Max Welling’s lab at the University of Amsterdam, before joining the newly founded Microsoft Lab in Amsterdam. During his time at Microsoft Research, Johannes was working on scaling up of AI driven physics surrogates, most notably for weather and climate simulations. In October 2023, he started a new group “AI for data-driven simulations” at the Institute of Machine Learning at the Johannes Kepler University in Linz. Early 2025, he co-founded Emmi AI in where he is currently is the Chief Scientist.

AUDIENCE

This is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.

WHEN

Mon. October 13, 2025 at 11:00H (Berlin time)

WHERE

On-site / Online

 
Shortlink to share this event: https://go.fau.de/1c-bb

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