Speakers

Simon J. L. Billinge is a Professor of Materials Science, Applied Physics and Applied Mathematics at Columbia University and a physicist at Brookhaven National Laboratory. He develops advanced diffraction and data-science methods, including AI- and ML-driven analysis, to reveal local structure in complex materials.

Ulrich S. Schubert is a full professor of Organic and Macromolecular Chemistry at Friedrich Schiller University Jena, head of the Laboratory of Organic and Macromolecular Chemistry and director of the Center for Energy and Environmental Chemistry Jena. His research focuses on functional and supramolecular polymers, polymer-based energy storage, and digitally assisted, high-throughput materials discovery.

Giacomo Indiveri is a Professor of Neuromorphic Cognitive Systems at the University of Zurich and ETH Zurich. His work spans neuromorphic mixed-signal circuits, brain-inspired computing, and real-world intelligent systems.

Carlo Vittorio Cannistraci is a Professor of Biomedical Cybernetics whose research spans AI for biology, algorithmic network science, and unconventional computing inspired by neural topologies.

Curtis Berlinguette is a global leader in self-driving labs, AI-enabled chemical discovery, and accelerated materials research for energy technologies.

Tommaso Dorigo is a senior scientist at INFN specialising in particle physics and machine learning, contributing to major projects including CMS at CERN.

Karsten Reuter directs the Theory Department at the Fritz Haber Institute, developing multiscale and AI-accelerated models for catalysis and energy technology.

Jun Jiang works on AI agents, intelligent chemistry automation, and self-driving laboratory systems for accelerated molecular discovery.

Milad Abolhasani develops autonomous chemical discovery platforms combining AI, robotics, and flow chemistry.

Luis Camuñas-Mesa works on neuromorphic systems, unconventional computing, and event-driven hardware architectures.

Jonathan Schmidt develops AI-driven materials science methods and data-centric approaches for physical modelling.

Marco Bernardi develops computational and AI-driven methods for electronic transport, excitons, and quantum phenomena in advanced materials.

Tapio Schneider leads the Climate Modeling Alliance (CliMA), building next-generation Earth system models integrating physics and machine learning.