Sensorimotor Processing Professors and Supervisors in Switzerland

Giovanni Chiarionمشاهده پروفایل

پژوهشگر

Swiss Federal Institute of Technology in LausanneSwitzerland

Giovanni Chiarion is a postdoctoral researcher at the Center for Biomedical Imaging (CIBM), affiliated with the Electrical Neuroimaging Section of CHUV-UNIL. He holds a Bachelor’s degree in Biomedical Engineering from the University of Padua and Master’s/Ph.D. degrees in Biomedical Engineering from Politecnico di Torino. Education: University of Padua (B.Sc.), Politecnico di Torino (M.Sc., Ph.D.) His research spans Brain-Computer Interface (BCI) development for motor-impaired patients, multi-scale neuronal connectivity analysis using EEG and in vitro networks, and spike sorting algorithm optimization for overlapping neural signals. Current work investigates pupillometric responses to auditory surprise and regularity violation detection. Scientific contributions include a grant-funded BCI project combining sensorimotor rhythms with pupillometric methods, and innovations in resolving overlapping spike waveforms for synchronized neuronal activity studies. Key award: University of Torino research grant for binary response BCI system

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Denis Burdakovمشاهده پروفایل

استاد

ETH ZurichSwitzerland

Prof. Denis Burdakov is a Full Professor at the Department of Health Sciences and Technology, ETH Zürich, leading the Neurobehavioural Dynamics Lab. He previously held tenured positions at the University of Cambridge (Associate Professor of Pharmacology) and King's College London (Professor and Chair of Systems Neuroscience), with additional appointments at UCL and UFRGS, Brazil. Education: BA (2001) and PhD (2004) in medicine, physiology, and biophysics from Oxford University His research investigates the neural basis of intelligence and adaptive behavior, focusing on how hypothalamic circuits process environmental and internal signals to regulate actions, appetite, and arousal. Key work involves orexin/hypocretin neurons, utilizing optogenetics, chemogenetics, and computational modeling to study sensorimotor algorithms in uncertain environments and their implications for neurological and metabolic disorders. The lab has produced influential publications in journals like Nature Neuroscience and PNAS , with recent studies on orexin neuron roles in voluntary exercise, glucose tracking, epilepsy, and anxiety disorders. Collaborations span AI, robotics, and translational neuroscience. Scientific Awards ERC Starting Grant HFSP Young Investigator Award Grants from SNSF, MRC, BBSRC, HHMI, The Royal Society, and Diabetes UK Burdakov trains future research leaders, with alumni including Christin Kosse (ETH Zürich), Mahesh Karnani (VU Amsterdam), and Rhiannan Williams (Boehringer Ingelheim). The lab emphasizes interdisciplinary approaches, combining genetic tools, real-time neural dynamics, and computational analysis.

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Mackenzie Mathisمشاهده پروفایل

استادیار

Swiss Federal Institute of Technology in LausanneSwitzerland

Mackenzie Mathis is a Tenure Track Assistant Professor and Bertarelli Foundation Chair of Integrative Neuroscience at the Brain Mind Institute (BMI) of EPFL. She leads the UPMWMATHIS Lab, focusing on understanding neural circuits underlying adaptive behavior and developing AI tools like DeepLabCut and CEBRA. Her work bridges machine learning and neuroscience, with expertise in systems neuroscience, animal behavior, and computer vision. Education: PhD in Neuroscience, Harvard University (2017) Research Interests: Her lab explores motor learning, sensorimotor control, and neural dynamics. Key tools include markerless pose estimation (DeepLabCut), latent embedding analysis (CEBRA), and generative AI for behavioral studies. Projects span from mouse behavior assays to ethical AI applications in conservation. Publications: Recent work includes advancements in robust ML systems, pre-trained pose models (SuperAnimal), and neural-latent dynamics analysis. Her lab’s tools are widely adopted in neuroscience and robotics. Awards: Swiss Science Latsis Prize (2024) Eric Kandel Young Neuroscientist Prize (2023) FENS EJN Young Investigator Prize (2022) Vallee Scholar & ELLIS Scholar Advising & Grants: Current PhD students include Célia Benquet, Hossein Mirzaei, and others. Grants include SNSF Starting Grant (1.5M CHF) and CZI funding for open-source tools. Collaborates with robotics and conservation initiatives. Labs & Teams: The UPMWMATHIS Lab at EPFL Biotech Campus integrates computational and experimental neuroscience. Tools like AmadeusGPT and CEBRA are developed here, supported by interdisciplinary teams.

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Carl Petersenمشاهده پروفایل

استاد

Swiss Federal Institute of Technology in LausanneSwitzerland

Carl Petersen is a Full Professor and Head of the Laboratory of Sensory Processing (LSens) at the Brain Mind Institute (BMI) within the Faculty of Life Sciences (SV) at EPFL. His research focuses on understanding sensory perception and associative learning at the neuronal circuit level in mice. He has held leadership roles, including Director of the BMI (2019–2022). Education: PhD in Physiology (1996, University of Cambridge) under Sir Michael Berridge; postdoctoral training at UCSF and Max-Planck-Institute for Medical Research. Research: Investigates cortical circuits using electrophysiology, imaging, and optogenetics. Key areas include whisker-based sensory processing, cortical plasticity during reward-based learning, and the interplay between sensory input and motor output. Grants & Labs: Leads the LSens lab, collaborating on projects like the Cell-class-specific motor maps (2025) and dopamine dynamics (2024). Awards: Not explicitly listed in provided data, but he is a member of prominent committees including the Neuroscience PhD program (EDNE-GE).

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Nikola Grujicمشاهده پروفایل

پژوهشگر

ETH ZurichSwitzerland

Nikola Grujic is a Researcher affiliated with the Department of Neuroscience at ETH Zürich, part of the Professorship for Neuroscience. His research focuses on neurophysiological mechanisms underlying behavioral states, neural coding of metabolic and sensory signals, and the interplay between neural systems and behavior. Key interests include orexin neuron function, pupil-linked arousal dynamics, and decision-making processes in mammals. Research Interests: Neural control of behavior Orexin/hypocretin system Pupil dynamics as a biomarker of arousal Metabolic regulation and neural signaling Cognitive behavioral neuroscience Neural coding of reward and uncertainty Recent work emphasizes how hypothalamic neurons (e.g., orexin, MCH) encode physiological states and modulate exploratory behavior, attention, and decision-making. His studies employ advanced neurophysiological techniques in behaving animals to map neural circuits involved in arousal regulation and sensorimotor integration. Publications reflect multidisciplinary approaches combining electrophysiology, behavioral analysis, and computational modeling to understand how neural systems process environmental and internal signals to guide adaptive behaviors.

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Nicole Wenderothمشاهده پروفایل

استاد

ETH ZurichSwitzerland

Prof. Nicole Wenderoth is a Full Professor in the Department of Health Sciences and Technology at ETH Zürich. Her research focuses on understanding the neural basis of motor functions, particularly in neurological patients and those with developmental disorders like autism. She employs advanced imaging (fMRI) and stimulation techniques (TMS, tDCS) to study complex movement production, skill acquisition, and rehabilitation strategies. Education: M.Sc. in Kinesiology (German Sport University, 1996), Ph.D. in Kinesiology (2000). Postdoc at KU Leuven (2001–2006), then Assistant/Associate Professor before becoming Full Professor at ETH (2012). Key Research Areas: Motor learning, neurorehabilitation, stroke/Parkinson's recovery, autism neurobiology Methodologies: fMRI, TMS, transcranial brain stimulation, animal models Recent work explores sleep modulation for motor performance, wearable neuroprosthetics, and cross-species fMRI for autism subtyping. Awards include the 2001 European College of Sport Science Young Investigators Award (Poster). Her lab investigates neural network dynamics, including locus coeruleus modulation and cortical arousal regulation via pupil biofeedback. Collaborations span clinical trials in stroke rehabilitation and neurotechnological interventions.

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Alexander Tesmerمشاهده پروفایل

پژوهشگر

ETH ZurichSwitzerland

Alexander Tesmer is a Doctorate student at the Department of Health Sciences and Technology (D-HEST) of ETH Zürich , affiliated with the Institute for Neuroscience . His work focuses on understanding the neural mechanisms underlying metabolic and behavioral regulation through advanced neuroscience methodologies. Current Role: Researcher in the Neurobehavioural Dynamics group Location: Schorenstrasse 16, 8603 Schwerzenbach, Switzerland Research Interests span neuroscience, neurobiology, and cognitive science, with a particular emphasis on: Orexin neuron dynamics and metabolic state monitoring Neurocognitive processes in decision-making Neural encoding of physiological parameters Development of optogenetic and fluorescent tools Key Article Trends reveal a focus on hypothalamic orexin systems, neurometabolic interactions, and advanced imaging techniques applied to zebrafish and rodent models. His publications demonstrate expertise in combining behavioral analysis with neural activity monitoring. Contact: alexander.tesmer@hest.ethz.ch

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Corinna Lorenzمشاهده پروفایل

پژوهشگر

ETH ZurichSwitzerland

Dr. Corinna Lorenz is a researcher at the Institute of Neuroinformatics, ETH Zürich, Switzerland, where she investigates neural mechanisms underlying behavior through computational and experimental approaches. Her work bridges neuroscience, machine learning, and animal behavior studies, primarily utilizing songbird models and advanced neurotechnologies. Her research focuses on computational neuroscience and neuroethology, with emphasis on vocal circuit dynamics in zebra finches. She develops innovative machine learning tools for neural data analysis, including vocal unit extraction from embedding spaces and chronic Neuropixels recordings. Additional interests span sensory processing (serotonin modulation in visual cortex) and body representation studies (rubber hand illusion), reflecting interdisciplinary expertise in neural coding and behavior. Analysis of her 12 recent publications (2012-2025) reveals three dominant themes: (1) Songbird vocal circuit dynamics during sleep/wake states and behavioral contexts, (2) Machine learning applications for unsupervised vocal analysis, and (3) Cross-species investigations of neural modulation in sensory systems. Her work consistently integrates custom hardware/software solutions with ethological paradigms. Dr. Lorenz maintains active research operations at ETH Zürich's Institute of Neuroinformatics (Y55 G 72), utilizing chronic recording methodologies and interactive data analysis frameworks. Her team develops open-source tools for vocal unit extraction and neural population analysis, contributing to reproducible neuroethology research.

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Yulia Sandamirskayaمشاهده پروفایل

پژوهشگر

ETH ZurichSwitzerland

Dr. Yulia Sandamirskaya is the Head of the Research Center 'Cognitive Computing in Life Sciences' at Zurich University of Applied Sciences (ZHAW), where she leads a research group focused on neuromorphic cognitive architectures for embedded AI systems. Her work integrates neural dynamics with robotic control , spanning real-time tasks such as sensing, planning, decision-making, learning, and motor control for assistive robots. She collaborates extensively with institutions like ETH Zurich and KTH Royal Institute of Technology, utilizing neuromorphic hardware such as dynamic vision sensors (DVS) and robotic platforms. Her research encompasses neuromorphic architectures for obstacle avoidance, path integration, and sequence learning, as well as theoretical frameworks like Dynamic Neural Fields (DNFs) for cognitive modeling. She explores autonomous learning mechanisms, including unsupervised and reinforcement learning, and applies these to robotics in domains such as spatial language grounding and haptic exploration . Her group has published extensively on topics like event-based vision , resonator networks , and hardware implementations of neural algorithms. Dr. Sandamirskaya has supervised multiple MSc theses on neuromorphic systems and robotic applications, with advisees working on projects like UAV obstacle avoidance, tactile object recognition, and neural-dynamic sequence generation. She actively contributes to workshops and conferences, including Science Robotics , CVPR , and IEEE conferences , and her work addresses challenges in low-power, high-speed robotic agents operating in real-world environments.

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Matthias Ertlمشاهده پروفایل

دانشیار

University of LucerneSwitzerland

Prof. Matthias Ertl is an Associate Professor of Experimental Rehabilitation Science at the University of Lucerne. He holds a PhD from Ludwig Maximilian University of Munich (2016) and completed his habilitation in Psychology at the University of Bern (2022). Currently, he serves as Head of Physiotherapy Development at Lucerne Cantonal Hospital. His research focuses on the interplay between sensorimotor skills and cognition, including neural correlates of balance processing, perceptual learning (e.g., fall prevention training), spatial memory, and navigation. Methodological expertise includes EEG, fMRI, and VR technologies. He contributes to open-source software projects such as PlatformCommander. Academic Journey: Postdoctoral Fellow at LMU Munich (2016–2018) Researcher at University Hospital Hamburg-Eppendorf (2013–2016) Joined University of Bern’s Institute of Psychology (2018–2024) Research Interests: Neural mechanisms underlying sensorimotor-cognitive interactions Perceptual learning paradigms for clinical applications Virtual reality for rehabilitation and spatial cognition studies Advising & Grants: No explicitly listed advisees or grant details in provided text Labs/Teams: Associated with the LIFE Forum Rehabilitation initiative Co-developer of PlatformCommander software

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Yulia Sandamirskayaمشاهده پروفایل

استاد

Zurich University of Applied Sciences (ZHAW)Switzerland

Prof. Dr. Yulia Sandamirskaya is a faculty member at Zurich University of Applied Sciences (ZHAW) in the School of Life Sciences and Facility Management. She leads the Institute of Computational Life Sciences and is an ORCID-registered researcher with a focus on neuromorphic computing and cognitive systems. Her work bridges computational neuroscience with practical robotics applications. Robotics for dementia care Neuromorphic computing Embodied AI systems Spiking neural networks Industrial force-control systems Human-robot interaction Her recent publications demonstrate expertise in neuromorphic architectures for sensory processing, including visual scene understanding, spectral classification, and real-time control systems. She actively contributes to setting benchmarks in neuromorphic computing and develops practical applications in healthcare robotics. Current projects include RobotCare (service robots for elderly care), Neuromorphic Technology for Embodied AI , and Emerging AI (completed). She collaborates with institutions in Switzerland, UAE, and Italy while working on industrial applications of neuromorphic systems.

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Daniel Huberمشاهده پروفایل

استاد

University of GenevaSwitzerland

Prof. Daniel Huber is a leading neuroscientist at the University of Geneva , focusing on understanding sensorimotor integration and cortical dynamics. His work bridges motor cortex research , optical imaging , and computational modeling to decode how neural circuits govern voluntary movements and tactile perception. Research spans rodent models and primate evolution through projects like the eLemur 3D brain atlas Key methodologies: in vivo two-photon microscopy , optogenetic manipulation , and biomechanical simulations Lab members include graduate students and collaborators studying Pacinian corpuscle physiology and forelimb motor control Recent publications reveal groundbreaking insights on lamellar Schwann cells' role in vibration perception , tonotopic mapping in the brainstem , and cross-species neural circuit comparisons . His team's 2025 Science Advances paper demonstrates Schwann cell contributions to mechanosensitivity using optogenetic inactivation. Current projects focus on neuronal network dynamics in decision-making and 3D anatomical frameworks for comparative studies. The lab's Swiss National Science Foundation grants and European Research Council funding enable these interdisciplinary approaches.

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Stefan Elmerمشاهده پروفایل

پژوهشگر

University of ZurichSwitzerland

Stefan Elmer is a Senior Researcher at ETH Zurich specializing in computational neuroscience of speech and hearing. His work investigates neural mechanisms of language processing, bilingualism, and music cognition, with emphasis on how musical expertise influences speech perception and word learning across the lifespan using EEG and neuroimaging techniques. Dr. Elmer's research spans speech neuroscience, hearing neuroscience, and bilingualism, focusing on neural plasticity in interpreters and musicians. Key studies examine cognitive load during simultaneous interpretation, neural correlates of absolute pitch, and age-related changes in temporal speech processing. His work demonstrates how experience in music or language reshapes brain connectivity in dorsal/ventral streams. Analysis of his 2019-2023 publications reveals consistent themes: neural adaptations in simultaneous interpreters, music-language interactions in word learning, and clinical applications for tinnitus/hearing loss. His research highlights EEG-based biomarkers for individual cognitive profiles and lifespan effects of expertise on auditory processing. Dr. Elmer contributes to ETH Zurich's Computational Neuroscience of Speech & Hearing group, which employs interdisciplinary approaches to unravel auditory processing mechanisms through collaborative projects bridging neuroscience, linguistics, and clinical audiology.

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Mackenzie Weygandt Mathisمشاهده پروفایل

استادیار

Swiss Federal Institute of Technology in LausanneSwitzerland

Prof. Mackenzie Weygandt Mathis is Tenure-Track Assistant Professor and Bertarelli Foundation Chair of Integrative Neuroscience at EPFL’s Brain Mind Institute . Leading the Mathis Lab since 2020, she unites machine learning and systems neuroscience to decipher how brains learn and control movement. Education : PhD in Neuroscience, Harvard University (2017, advisor Naoshige Uchida) Post-doctoral training, University of Tübingen with Matthias Bethge (2017) Rowland Fellow, Harvard University (2017-2020) Research Focus : the lab develops open-source AI tools ( DeepLabCut , CEBRA , AmadeusGPT ) and combines them with large-scale neural recordings in behaving mice to uncover the neural basis of adaptive motor control. Core themes include sensorimotor learning, proprioception, and brain-inspired algorithms for robotics. Publications Trend : recent work spans robust machine-learning methods (ICLR, AISTATS 2025), foundational models for pose estimation ( SuperAnimal , 2024), and integrative studies linking neural population dynamics to muscle-level control ( Nature 2023, Cell 2024). Scientific Awards : Swiss Science Prize Latsis 2024 Robert Bing Prize 2024 Eric Kandel Young Neuroscientist Prize 2023 FENS EJN Young Investigator Prize 2022 Vallee Scholar, ELLIS Scholar, NSF Graduate Fellow Advising & Funding : she mentors 4 current PhD students and several postdocs, supported by SNSF Starting Grant (1.5 M CHF), CZI, Novartis, Radala Foundation, and Kavli Foundation grants. Labs & Teams : the Mathis Lab is located at Campus Biotech , Geneva, and actively collaborates with the Alexander Mathis group, Allen Institute, and international consortiums on open-source neuroscience tools.

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