Find Academic Supervisors

• Synthesis and Catalysis
• Stereoselective synthesis
• Functional materials
• +5 more

Prof. Olimpia Mamula Steiner is an Ordinary Professor at the Haute école d'ingénierie et d'architecture de Fribourg (HEIA-FR), part of the University of Applied Sciences and Arts Western Switzerland (HES-SO). She leads research in synthesis, catalysis, and functional materials development from her office in Fribourg, Switzerland. Her educational background includes: BSc HES-SO in Chemistry from HEIA-FR, specializing in Organometallic Catalysis and Organic Chemistry MSc HES-SO in Life Sciences, focusing on Asymmetric Synthesis Bachelor in Chemistry from the University of Fribourg, with emphasis on Chemistry of d and f metals Prof. Mamula Steiner's research spans multiple chemistry domains with strong focus on stereoselective synthesis, nanoparticle development, and functional materials. Her work bridges fundamental chemical research with practical applications in medical diagnostics, environmental monitoring, and advanced manufacturing. She has pioneered innovative approaches to chiral metal complexes, sensors for hazardous compounds like phosgene, and novel materials for electroluminescent displays, demonstrating exceptional interdisciplinary integration. Her publication record reveals consistent expertise in rhenium anticancer complexes, pinene-based ligand systems, and sensor development. Recent work shows increasing focus on medical applications, particularly in cancer research and diagnostic tools, while maintaining strong foundations in synthetic methodology and materials characterization. The interdisciplinary nature of her research is evident in collaborations spanning chemistry, medicine, engineering, and environmental science. Prof. Mamula Steiner actively mentors students and researchers, having supervised PhD work on pinene-pyridine derivatives and their applications. Her laboratory emphasizes sustainable chemistry approaches, including waste-to-resource conversion and eco-friendly manufacturing processes, reflecting contemporary priorities in green chemistry.

Daniel HuberView profile

Professor

• Neuroscience
• Neurophysiology
• Optical Imaging
• +2 more

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.

Christian LüscherView profile

Professor

• Neuroscience
• Synaptic Plasticity
• Drug Addiction Mechanisms
• +3 more

Professor Christian Lüscher is a leading neuroscientist at the University of Geneva, focusing on the cellular and synaptic mechanisms underlying drug addiction. His research explores how addictive substances alter neuroplasticity in the mesolimbic dopamine system, particularly in the ventral tegmental area (VTA). Key Research Areas: Synaptic plasticity in addiction, µ-opioid receptor dynamics, neuroadaptive changes, and developing novel addiction therapies through optogenetics and neuroimaging. Techniques: Electrophysiology, genetic and pharmacological tools, in vivo imaging, and behavioral models. Recent Publications: His 2024-2025 work includes groundbreaking studies on fentanyl reinforcement mechanisms, sweat-based biosensors for substance abuse monitoring, and insights into overeating neurobiology. Earlier articles focus on cocaine-induced synaptic changes, NMDA receptor roles, and circuit models for addiction. Collaborations: Dr. Lüscher works with international experts in psychiatry, biomedical engineering, and neuroimaging, including colleagues at University of Geneva's CMU (Center for Medical Education) and institutions in the U.S. and Europe.

• Neuroscience
• Memory Consolidation
• Hippocampus
• +7 more

Zhang Xiaomin is an Assistant Professor of Neuroscience at the Brain Research Institute, University of Zurich. Her research focuses on understanding the cellular and circuitry mechanisms underlying episodic memory consolidation in the hippocampus, with particular relevance to early-onset Alzheimer's disease. She employs advanced in vivo electrophysiological recordings and optical tools to investigate single-neuron dynamics, neuronal population coding properties, and the role of neuromodulation during spatial memory consolidation. Her educational background includes: Bachelor's degree in Biomedicine from China Master's degree in Neuroscience from China Ph.D. from University of Heidelberg, Germany under Prof. Andreas Draguhn Postdoctoral fellowship at Institute of Science and Technology, Austria under Prof. Peter Jonas Dr. Zhang's research primarily investigates how episodic memories, which initially are fragile, become consolidated for long-term retention. She has established in vivo whole-cell patch-clamp recording techniques in head-fixed behaving animals to study memory consolidation mechanisms. Her work bridges cellular neuroscience with cognitive function, focusing on how disruptions in these processes contribute to Alzheimer's disease pathology. The laboratory employs cutting-edge methodologies including advanced electrophysiology, optical tools, and computational approaches to understand neural coding during memory formation. Analysis of her publication record reveals a strong focus on hippocampal function, particularly dentate gyrus circuitry and granule cell dynamics. Her research trajectory shows progression from basic cellular mechanisms to more complex network-level questions, with increasing emphasis on computational approaches and disease models. The publications demonstrate expertise in both experimental neuroscience and computational analysis, with significant contributions to understanding how neural circuits process spatial information and consolidate memories. Her scientific achievements have been recognized through prestigious awards: SNSF Prima Fellowship Synapsis Foundation Career Development Award Dr. Zhang leads the Laboratory of Memory Consolidation at the University of Zurich, where she mentors a diverse research team including multiple PhD students and research assistants. Her group continues to investigate the neuronal mechanisms underlying impaired episodic memory formation, with the ultimate goal of identifying potential therapeutic targets for Alzheimer's disease and related memory disorders. The laboratory maintains active collaborations with other neuroscience research groups at the Brain Research Institute and beyond.

• Systems Neuroscience
• Motor Learning and Control
• Animal Behavior
• +7 more

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.

Lampraki CharikleiaView profile

Researcher

• Psychology
• Gerontology
• Cognitive Science
• +3 more

Charikleia Lampraki is a Doctoral Program and Scientific Officer at the University of Geneva's LIVES program. Her research focuses on aging populations, examining intersections between cognitive functioning, mental health, and social behavior. Current affiliation: LIVES Doctoral Program (University of Geneva) Collaborations: Cross-national European studies (26 countries) Methodology: Longitudinal and cross-sectional analyses Research interests include: Psychological resilience in aging Impact of social relationships on mental health Digital technology's role in stress moderation Human-animal interaction effects on cognition Developmental continuity in late adulthood Recent publications demonstrate interdisciplinary approaches combining: Gerontological and psychological frameworks Public health and behavioral science perspectives Quantitative analysis of large European datasets Investigations into stress moderators and coping mechanisms Notable collaborations include work with: Andreas Ihle (aging studies) Daniela Jopp (psychological development) Jürgen Maurer (longitudinal research) Dario Spini (self-identity analysis)

• Cognitive Psychology
• Developmental Psychology
• Temporal Processing
• +3 more

Stefan Pichelmann is a Senior Lecturer at the Department of Psychology , University of Fribourg , affiliated with the Faculty of Letters and Human Sciences. His academic work spans cognitive, developmental, and temporal processing research. Contact: stefan.pichelmann@unifr.ch | +41 26 300 7652 | RM 01 bu. C-2.110, Rue PA de Faucigny 2, 1700 Fribourg Research Focus: Pichelmann investigates cognitive mechanisms in spatial perspective-taking, time perception, and sensory integration. His work applies psychometric and experimental methods to analyze how numerical values, spatial tasks, and sensory modalities influence temporal judgments. Key Trends in Publications: Recent studies (2013–2023) emphasize spatial cognition , temporal processing , sensory integration , and cognitive workload . Articles on digit magnitude effects, mental rotation, and multisensory timing highlight interdisciplinary intersections with neuroscience and psycholinguistics. Departmental Affiliation: Active in the Department of Psychology, his research aligns with teams like Cognitive Development and Clinical Psychology, contributing to foundational and applied psychological sciences.

Edna GrünblattView profile

Professor

• Molecular Psychiatry
• Neuroscience
• Neurodegenerative Disorders
• +3 more

Edna Grünblatt is a Professor at the Department of Child and Adolescent Psychiatry and Psychotherapy , University of Zurich. She leads the translational Molecular Psychiatry team and is a member of the Neuroscience Center Zurich and the Zurich Center for Integrative Human Physiology (ZIHP) . She also founded and participates in the Induced Pluripotent Stem Cell-based Research in Zurich . Her research focuses on molecular psychiatry , neurodegenerative disorders , and genetic biomarkers . She investigates mechanisms linking Alzheimer’s disease , ADHD , and neuroinflammation using iPSC models and genetic profiling . Recent publications highlight her work on Wnt signaling pathways in ADHD, polygenic risk scores for Alzheimer’s, and machine learning applications in neurogenetics. Her team explores omega-3 fatty acid interventions and thiamine compounds for psychiatric and neurodegenerative conditions.

Daniele SilvestroView profile

Researcher

• Evolutionary Biology
• Phylogenetics
• Macroevolution
• +5 more

Daniele Silvestro is a researcher at ETH Zürich's Department of Biosystems Science and Engineering, working within the Computational Evolution group based in Basel, Switzerland. His research spans evolutionary biology, computational methods, and biodiversity science, with a focus on developing and applying novel analytical approaches to understand macroevolutionary patterns. Dr. Silvestro's research interests center on evolutionary biology and computational approaches to understanding biodiversity patterns through time. His work bridges micro- and macroevolutionary scales, with particular emphasis on phylogenetic methods, speciation processes, and the integration of fossil data with molecular phylogenies. He applies machine learning and artificial intelligence techniques to analyze large-scale biodiversity datasets, addressing questions about species diversification, extinction dynamics, and ecological interactions across deep time. His recent publications demonstrate a strong trend toward computational innovation in evolutionary biology, with increasing integration of artificial intelligence methods to tackle complex questions in biodiversity science. His work spans multiple biological systems, from plant-soil interactions to mammalian evolution, reflecting an interdisciplinary approach that combines theoretical modeling with empirical data analysis. Dr. Silvestro collaborates extensively with researchers across institutions and disciplines, contributing to major initiatives such as the 2030 Declaration on Scientific Plant and Fungal Collecting. His research has significant implications for biodiversity conservation, particularly in understanding how species and ecosystems respond to environmental change. His work on computational methods, including software development like DeepDiveR, demonstrates a commitment to creating practical tools for the broader scientific community. His research group at ETH Zürich appears to focus on developing and applying cutting-edge computational approaches to evolutionary questions, emphasizing the importance of integrating multiple data sources and analytical frameworks.

• Visual Communication
• Data Visualization
• Storytelling
• +4 more

Samuel Frei serves as a Lecturer at the Lucerne University of Applied Sciences and Arts – School of Design, Film and Art, where he teaches Visual Communication and Data Visualization across Bachelor's and Master's programs including the Applied Information and Data Science and MA Design curricula. His academic journey began after a career shift from biology and finance, completing a Master's in Design in 2011 followed by dissertation research at University College Dublin's SMARTLab (2012-2020). His research focuses on the intersection of analog and digital media, particularly in immersive technologies (AR/MR/VR) , cultural heritage digitization , and data storytelling . Key projects include the Digital Storytelling Lab, ALE (UNESCO World Heritage mobile experiences), and IDN-Kommunale Energie-Transformation. His work consistently explores how mobile and immersive technologies transform learning in cultural institutions and tourism contexts. Frei's 2024-2022 publications reveal a strong trend toward geospatial data visualization in tourism, cultural heritage preservation through mixed realities , and participatory digital archiving , often involving Swiss parks, museums, and indigenous communities like Amazonian collectives. His work bridges technical development with human-centered design principles. Nomination for Swiss Design Prize 2017 (Research category) Best of Swiss App Award 2016 (2x Bronze for ALE project) As former coordinator (2013-2023) and director (4 years) of continuing education programs, he managed interdisciplinary collaborations with cultural institutions, nature conservation groups, and educational organizations. His current leadership of the Investigative Methods in Research Practice module (2025) demonstrates ongoing curriculum development. Frei also maintains professional practice as an illustrator and concept designer, applying research to real-world projects in conservation and cultural sectors. His Visual Narrative research group serves as the primary laboratory context, producing projects like the Digital Storytelling Lab and Virtuelles Museum that integrate mobile technologies, indigenous knowledge systems, and emerging AI/AR platforms for cultural engagement.