Torsten Hoefler
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Torsten Hoefler is a full professor at ETH Zurich where directs the Scalable Parallel Computing Laboratory (SPCL). Dr. Hoefler's research aims at understanding the performance of parallel computing systems ranging from parallel computer architecture through parallel programming to parallel algorithms. He is also active in the application areas of Weather and Climate simulations as well as Machine Learning with a focus on Distributed Deep Learning. In those areas, he has coordinated tens of funded projects and both an ERC Starting Grant and an ERC Consolidator Grant on Data-Centric Parallel Programming. |
Maximilian Dax
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Maximilian Dax is a postdoctoral researcher at ETH Zurich and the ELLIS Institute Tübingen and a member of the LIGO Scientific Collaboration. He pursued his PhD at the Max Planck Institute for Intelligent Systems in Tübingen under the supervision of Bernhard Schölkopf (2020-2024) and interned at Google Research (2023). His research focuses on probabilistic inference, generative modeling and density estimation, with an emphasis on scientific applications. Together with his collaborators, he developed DINGO, a leading machine learning approach for gravitational-wave data analysis. |
Yulia Sandamirskaya
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Yulia Sandamirskaya is heading a Research Centre "Cognitive Computing in Life Sciences" at Zurich University of Applied Sciences (ZHAW). Her Research Group develops neural-dynamics based cognitive architectures for real-time, embedded AI systems, spanning sensing, planning, decision making, learning, and control for the next generation of assistive robots. Specifically, they are developing neuronal network architectures, inspired by biological neuronal circuits and tailored for implementation in neuromorphic hardware. Currently, her group is working on controllers for flying robots and arms. |
Giacomo Indiveri
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Giacomo Indiveri is a Professor at the Faculty of Science at the University of Zurich, Switzerland. He won an ERC Starting Grans on “Neuromorphic processors” in 2011 and an ERC Consolidator Grant on neuromophic cognitive agents in 2016. His research interests lie in the study of neural computation, with particular interest in spike-based learning and selective attention mechanisms, and in the hardware implementation of real-time sensory-motor systems using analog/digital neuromorphic circuits and emerging VLSI technologies. |
Andrea Cossettini
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Andrea Cossettini is Project Leader and Lecturer at the Integrated Systems Laboratory (IIS) of ETH Zurich and Research Cooperation Manager of the ETH Future Computing Laboratory (EFCL). He pursued his PhD at the University of Udine (Italy), working on nanoelectrode array biosensors for high-frequency impedance spectroscopy and imaging of nano-particles in electrolyte. He joined ETH in 2019, and his research focus is on biomedical circuits and systems, with a particular emphasis on wearable ultrasound, wearable EEG, and edge-AI-enabled human-machine interfaces. |
