Prof. Maria Asplund is professor in bioelectronic microtechnology at Chalmers University of Technology in Gothenburg, Sweden. Her research includes implantable flexible neurotechnology, tissue-device interaction and electronic biomaterials. Her team has specialized in electrode materials for efficient and safe charge injection over the entire parametric range used clinically, from promotion of wound healing to brain implants for visual restoration. Additionally, she develops microfluidic platforms where the interplay between electrical stimulation and tissue signaling can be studied in detail. After completing her PhD at the Royal Institute of Technology (Stockholm, 2009) she led her own research group at the University of Freiburg, Germany (2011-22) before joining Chalmers in 2022. Her work has this far resulted in new technologies which contributes to smaller, more energy efficient and durable bioelectronics for the future.

Prof. Sahani's work spans the interface of the fields of machine learning and neuroscience, with particular emphasis on the types of computation achieved within the sensory and motor cortical systems. He has helped to pioneer analytic methods which seek to characterize and visualize the dynamical computational processes that underlie the measured joint activity of populations of neurons. He has also worked on the link between the statistics of the environment and neural computation, machine-learning based signal processing, and neural implementations of Bayesian and approximate inference.

Since 2016, he has been the director of the Organism Behavior Laboratory at the Institute of Neuroscience in Alicante. Currently, he is an associate professor at the Spanish National Research Council (CSIC) and the director of the Pari Center in Tuscany, Italy. Combining computational ethology, real-world cognitive neuroscience, and process bio-philosophy, his research aims to establish shared principles of animal behavior across species.

His research focuses on philosophical anthropology (autonomy; normativity in human agency), ethics (discourse ethics; neuro-ethics; digital ethics), and social theory (mutual recognition; responses to hyper-complexity). He is leading Human condition research line in Ethics of Socially Distrubtive Technologies program (ESDiT). 

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His workspace comprises electrophysiological signals from single cell (in vivo and in vitro) to large-scale recordings in different sized brains (from mouse to human). Computational techniques are applied to these signals to decode and possibly alter brain activity and behaviour.

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