Find Academic Supervisors

• Neuroscience
• Visual Perception
• Cognitive Processes
• +4 more

Michael Schmid is a Professor in the Medicine Section at the Faculty of Science and Medicine, University of Fribourg. His research lies at the intersection of neuroscience, neurology, and cognitive science, focusing on the neural mechanisms underlying vision and their disruption in neurological conditions such as developmental dyslexia. His career includes leadership roles at Newcastle University (2019–2015 as Senior Lecturer), the Ernst Strüngmann Institute (2012–2015 as Emmy Noether group leader), and postdoctoral training at the National Institutes of Health (2007–2010). He earned his PhD in Neuroscience from the Max Planck Institute for Biological Cybernetics and the University of Tübingen (2007). His research explores visual perception in neurological diseases, utilizing techniques such as optogenetics, neuroimaging, and behavioral studies in non-human primates. Recent work examines cortical reorganization, rhythmic neural activity, and sensory processing in macaques, with translational relevance for human vision disorders. Key publications highlight advancements in understanding blindsight, visual network dynamics, and the role of the lateral geniculate nucleus in perceptual suppression. His lab (http://www.optovisionlab.org) investigates how cognitive processes influence visual perception and develops interventions for reading difficulties.

Marianne LiebiView profile

Assistant Professor

• Materials Science
• Biomedical Engineering
• X-ray Imaging Techniques
• +3 more

Marianne Liebi is a Tenure-Track Assistant Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering’s Institute of Materials. She leads the Structure and Mechanics of Advanced Materials group at the Paul Scherrer Institute (PSI) within the Photon Science Division. Her research focuses on developing advanced X-ray imaging techniques, particularly small-angle X-ray scattering (SAXS) tensor tomography, to study hierarchical materials such as biomimetic composites, cellulose-based materials, and bone tissues. She has held positions at Chalmers University of Technology (Sweden) and Empa, and her work bridges materials science, biomedical engineering, and nanotechnology. Education: PhD in Food Science from ETH Zurich (2013), followed by postdoctoral research at the Swiss Light Source. Professional roles include Assistant Professor at Chalmers University (2017–2020) and Scientific Group Leader at Empa (2020–2021). Research interests emphasize imaging complex structures across scales, with applications in 3D printing, industrial plastics, and biological tissues. Key methods include SAXS, ptychographic tomography, and X-ray fluorescence. Her group collaborates widely, addressing challenges in material design, medical diagnostics, and sustainable polymers. Advising and grants: While specific grants are not detailed, her leadership roles and publications indicate active research funding. Labs/teams: PSI’s Laboratory for Condensed Matter and Materials Science, with ongoing collaborations at synchrotron facilities like ESRF and MAX IV.

Moritz GoldView profile

Researcher

• Sustainable Food Processing
• Biowaste Management
• Environmental Engineering
• +3 more

Dr. Moritz Gold is a researcher affiliated with the Professorship for Sustainable Food Processing at ETH Zurich's Department of Health Sciences and Technology. His work focuses on scalable approaches to recycle biowaste into marketable products, aiming to reduce environmental impact, offset waste management costs, and improve public health. He is currently a visiting researcher at the Singapore-ETH Center. His research integrates microbiology, environmental engineering, and agricultural science to optimize black soldier fly (BSF) larvae processing of organic wastes. Key areas include biowaste pretreatment, microbial community dynamics in rearing residues, and the nutritional value of BSF-derived products in animal feed. Collaborations include studies with institutions like Eawag and Huazhong Agricultural University, exploring topics such as faecal sludge utilization and heavy metal transfer in food chains. Gold's publications emphasize practical applications of insect-based biowaste recycling, including feed substitution for poultry and nutritional safety assessments. His work also addresses global sanitation challenges, such as dewatering faecal sludge for fuel production in Sub-Saharan Africa. Experimental methods in his lab include in vitro digestion modeling and electron beam sterilization techniques. Notable contributions include demonstrating the potential of BSF larvae to process aflatoxin-contaminated substrates and the impact of residue microbes on rearing performance. His interdisciplinary approach bridges laboratory research with industrial-scale applications, contributing to circular economy principles in food systems.

Ferdinand von MeyennView profile

Assistant Professor

• Epigenetics
• Nutrition
• Metabolic Disease
• +3 more

Prof. Dr. Ferdinand von Meyenn is an Assistant Professor at the Department of Health Sciences and Technology at ETH Zürich. He leads the Laboratory of Nutrition and Metabolic Epigenetics, focusing on the interplay between nutrition, metabolism, and epigenetic regulation in health and disease. His research spans topics such as epigenetic memory in adipose tissue, stem cell reprogramming, and the metabolic consequences of obesity. Key projects include developing novel iron delivery platforms using oat protein nanofibrils and investigating the role of histone modifications in aging mechanisms. His work integrates multi-omics approaches, including spatial transcriptomics and single-cell analysis, to uncover how environmental factors like diet and metabolic stress influence epigenetic landscapes. Recent studies highlight his team’s contributions to understanding how mitochondrial dysfunction contributes to neurological disorders and how microalgae can address micronutrient deficiencies sustainably. Publications emphasize translational applications, such as reversing beta-cell dysfunction in type 2 diabetes and creating age predictors using chromatin accessibility (ATAC-clock). Collaborations with clinical microbiology units suggest interdisciplinary engagement in translational research.

• Aerothermodynamics
• Mechanical Engineering
• Process Engineering
• +3 more

Dr. Ndaona Chokani is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich. Their research focuses on aerothermodynamics, mechanical engineering, and process engineering, with a recent emphasis on interdisciplinary applications in computer vision and image processing. Affiliated with the Professur f. Aerothermodynamik, their work spans theoretical and applied domains. While explicit educational background details are not provided, their academic career includes contributions to fields such as fluid dynamics and process systems engineering. Research interests are inferred from departmental affiliation and recent publications, emphasizing computational methods in mechanical systems and image quality assessment. Recent publications highlight work in perceptual quality metrics for images and videos, immersive systems (VR/360 content), and machine learning applications in 3D pose estimation and generative models. Key areas include diffusion models for low-light imaging, spatial-temporal geometric networks, and benchmarking frameworks for image harmonization. No awards or grants are explicitly listed in the provided text. Their research often involves collaborations on datasets like Salient360! and tools for gaze data analysis in 3D environments. Future work appears to focus on improving perceptual metrics and expanding applications in healthcare and immersive technologies.

• Computational Neuroscience
• Neuroethology
• Neural Data Analysis
• +3 more

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.

Michele MagnoView profile

Senior Lecturer

• Smart Sensing
• Low-Power Machine Learning
• Wireless Sensor Networks
• +4 more

Michele Magno is a Senior Lecturer and Privatdozent at ETH Zürich's Department of Information Technology and Electrical Engineering (D-ITET), leading the D-ITET Center for Project-based Learning (pbl.ee.ethz.ch). He holds a PhD in Electronic Engineering from the University of Bologna (2010) and has held visiting roles at institutions like the University of Nice and Mid Sweden University. His research focuses on low-power systems, wearable devices, energy harvesting, and IoT applications. Magno has authored over 350 peer-reviewed papers, with a Google H-index of 49. Notable awards include the 2024 Best Paper Award at ECCV and multiple best poster/demo recognitions at IEEE conferences. His industrial collaborations include projects with STMicroelectronics, Texas Instruments, and Logitech. Teaching contributions include courses on embedded systems, FPGA programming, and machine learning on microcontrollers. Magno's innovations span smart sensors for wind turbines, bio-medical monitoring, and autonomous racing systems, with patents in touch communication and energy-neutral devices. Recent work emphasizes ultra-low-power solutions for AI-integrated wearables, energy-efficient IoT nodes, and real-time embedded vision systems. His labs and teams pioneer technologies like TinyssimoRadar for in-ear gesture recognition and WakeMod for ultra-low-power IoT connectivity.

Rebecca WaagView profile

Researcher

• Neuroscience
• Molecular Biology
• Behavioral Neuroscience
• +3 more

Dr. Rebecca Waag is a Researcher affiliated with the Department of Molecular and Behavioral Neuroscience at ETH Zurich. She is part of the Professorship for Molecular and Behavioral Neuroscience, contributing to cutting-edge research in neuroscience and molecular biology. Her work focuses on understanding stress physiology, neurovascular interactions, and cellular metabolism, particularly in the context of neurological disorders and adaptive responses to environmental challenges. Her research interests span neurovascular biology, molecular mechanisms of stress habituation, and the development of novel tools for behavioral assessment. She has pioneered methods like GrimACE, an automated system for evaluating pain and well-being in preclinical models. Her studies often integrate multi-omics approaches, such as single-nucleus RNA sequencing and quantitative behavioral analysis, to uncover latent biological phenomena. Dr. Waag's contributions include advancing knowledge on astrocytic roles in glucose metabolism, noradrenaline's influence on hippocampal gene expression, and the vascular gene Apold1's role in angiogenesis. Her work bridges fundamental research with translational applications, emphasizing ethical and technological innovations in neuroscience. While no specific awards are listed, her publications reflect a prolific and impactful career. She is actively involved in lab operations at ETH Zurich’s Institute for Neuroscience, though no student advisees or grants are explicitly mentioned in available records.

Stamatios GiannoukosView profile

Lecturer

• Analytical Chemistry
• Breath Analysis
• Mass Spectrometry
• +3 more

Dr. Stamatios Giannoukos is a Lecturer at the Department of Chemistry and Applied Biosciences at ETH Zürich. His research focuses on innovative analytical methodologies for breath analysis and environmental monitoring, leveraging secondary electrospray ionization (SESI) and high-resolution mass spectrometry (HRMS). Key areas include untargeted metabolomics, livestock metabolic profiling, and portable instrumentation development. Research interests emphasize non-invasive sampling techniques for biomedical and agricultural applications. Notable work includes optimizing electrolyte solutions for breath metabolomics, developing biomarker identification protocols for dairy cow metabolism, and evaluating polymer sampling bags for breath storage. His studies bridge fundamental analytical chemistry with practical applications in healthcare, agriculture, and environmental science. Publications highlight advancements in SESI-HRMS instrumentation, including ion suppression mitigation and internal standard systems. Collaborations span interdisciplinary projects like the NapBiome trial (gut microbiota and child development) and field campaigns in global pollution hotspots (e.g., Delhi, Sarajevo Canton).

Kai HormannView profile

Professor

• Computational Sciences
• Geometric and Visual Computing
• Informatics
• +3 more

Kai Hormann is a full professor in the Faculty of Informatics at Università della Svizzera italiana (USI Lugano). He earned his Ph.D. in computer science from the University of Erlangen-Nürnberg in 2002 and has held positions at Clausthal University of Technology, Caltech, and the CNR in Pisa. His research focuses on mathematical foundations of geometry processing, including barycentric coordinates, subdivision algorithms, and rational interpolation. Hormann has authored over 100 publications and serves as an associate editor for journals like Computer Aided Geometric Design and Dolomites Research Notes on Approximation . In 2024, he received the prestigious John A. Gregory Award for his contributions to geometric modeling. Education : Ph.D. in Computer Science, University of Erlangen-Nürnberg (2002) Diploma in Mathematics, University of Erlangen (1997) Abitur, Leibniz-Gymnasium Bad Schwartau (1992) Research Interests : Hormann’s work bridges computer science, applied mathematics, and engineering. His current projects include interactive shape deformations, time-dependent object processing, 3D visualization, and GPU-accelerated algorithms. His research areas encompass geometry processing, computational sciences, and numerical analysis. Publications : His recent articles focus on barycentric coordinates, subdivision schemes, and surface reconstruction. Themes include transfinite coordinates, curvature continuity, and efficient interpolation methods. Awards : John A. Gregory Award (2024) Chair of SIAM Activity Group on Geometric Design (2017–2018) Advising & Grants : He has advised numerous PhD students, including work on barycentric rational curves and subdivision schemes. He has organized conferences such as the SIAM GD and GMP series, reflecting his leadership in computational geometry. Labs & Teams : Hormann is affiliated with the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI), collaborating on interdisciplinary projects in AI and geometry processing.

Robin MorrisonView profile

Research Fellow

• Behavioral Ecology
• Evolutionary Biology
• Primate Social Behavior
• +3 more

Robin Morrison is an Ambizione Research Fellow and Group Leader in the Department of Evolutionary Anthropology at the University of Zurich. She leads the Primate Social Evolution Group and is affiliated with the Human Evolutionary Ecology Group. As an Affiliate Scientist at the Dian Fossey Gorilla Fund’s Karisoke Research Center in Rwanda, she conducts fieldwork on gorilla social behavior and conservation. Her PhD from the University of Cambridge focused on western lowland gorillas in Congo Basin national parks. Her research investigates gorilla social systems, including dispersal patterns, social relationships, and how these influence fitness and conservation strategies. Current projects include studying the adaptive origins of social flexibility in gorillas, funded by the Swiss National Science Foundation (2023–2027). Key research themes include: social behavior evolution, life history processes, disease transmission in social groups, and the role of social networks in mitigating adversity. Her work combines long-term field data with computational models to understand primate social dynamics. Publications highlight innovative analyses of gorilla group dynamics, survival strategies, and reproductive patterns. Research has demonstrated how social buffering mitigates maternal loss effects and how inter-group interactions shape territorial behavior. Awards include Ambizione Fellowship status, and her work frequently appears in journals like Behavioral Ecology and Sociobiology and Current Biology. She collaborates internationally across field sites in Rwanda, Congo, and Cameroon.

Jeanine ReutemannView profile

Lecturer

• Science Communication
• Educational Media
• Digital Education
• +3 more

Dr. Jeanine Reutemann serves as a Lecturer at the Department of Environmental Systems Science, ETH Zurich, where she leads the Media & Methods Lab within the Unit for Teaching and Learning (UTL). Her role encompasses producing co-designed audiovisual media for ETH lecturers, advancing digital media competencies across the institution, and exploring innovative media technologies for future teaching through flagship projects. Her research centers on the science-society interface , specializing in translating complex scientific concepts through audiovisual media. Key interests include the epistemological potential of visual language in education, sustainable production of science videos, mixed reality applications, and combating misinformation. She investigates how media design shapes public understanding of science and enhances learning experiences in higher education, with particular focus on deepfakes, truth verification, and co-design methodologies. Analysis of her publication trajectory (2016-2024) reveals an evolution from foundational studies on MOOC video styles to current work on sustainable educational media and mixed reality. Her research consistently bridges theory and practice, emphasizing ethical considerations, societal impact, and the transformative role of audiovisual media in science communication. Recent publications highlight growing attention to environmental sustainability in media production and AI's implications for scientific content generation. Dr. Reutemann actively contributes to interdisciplinary projects funded by the Swiss National Science Foundation (SNF), including the r4d programme. She has collaborated with Oxford University, WSL, WWF/COOP, and others to produce science documentaries addressing global challenges such as inequality, sustainability, and peacebuilding, including the full-length documentary 'Inequality and Conflict - Beyond us and Them'. She heads the Media & Methods Lab, a dynamic team that partners with ETH lecturers to co-create educational media, designs continuous professional development programs in digital media competencies, and pioneers new media technologies through projects like the Science Filmmaking Hackathon (producing AI-themed animations) and mixed reality character prototypes for campus navigation. Current initiatives include developing audiovisual essays with the gta archive and science communication videos leveraging internet meme culture for environmental science students.

• Clinical biomechanics of the shoulder
• Computational shoulder models
• Finite element analysis
• +7 more

Eva C. Herbst is a Postdoctoral Researcher in Shoulder Biomechanics at ETH Zurich's Institute for Biomechanics, Department of Health Sciences and Technology. She works in close collaboration with Prof. Dr. Stephen Ferguson at ETH and Prof. Dr. med. Philipp Moroder at the Schulthess Clinic, developing computational models to investigate dynamic joint loading in patients and maximize clinical impact. Her research integrates multi-body dynamics and finite element modeling to create shoulder biomechanics models for implant development and patient analysis. With a background in comparative biomechanics and paleontology, she maintains a strong interest in the link between form and function across biological contexts, applying evolutionary perspectives to clinical problems. Clinical biomechanics of the shoulder Computational modeling for implant development Finite element analysis and multibody dynamics Biomechanical analysis of patient-specific scenarios Comparative biomechanics across evolutionary time scales Dr. Herbst has developed several important computational tools that have gained recognition in the biomechanics community, including Spherical Frame Projections for visualizing joint range of motion, Trabecular Segmentation techniques for bone analysis, and MyoGenerator, a Blender add-on for 3D muscle modeling. She founded Finite Element Zurich to make finite element modeling more accessible by sharing resources, code, and workflows. Her publication record shows a clear progression from evolutionary biomechanics toward clinical applications, with recent work focusing on shoulder arthroplasty, osseous shoulder morphology, and patient-specific computational modeling. Her earlier research examined paleopathology in early tetrapods, cervical morphology in sloths, and salamander locomotion. She actively shares her research tools through GitHub, FigShare, and Morphosource, demonstrating a strong commitment to open science practices.

Robert WeibelView profile

Professor

• Geographic Information Science
• Cartographic Generalization
• Movement Analysis
• +10 more

Robert Weibel is a Professor in the Department of Geography at the University of Zurich, where he conducts cutting-edge research in Geographic Information Science (GIScience), cartographic generalization, movement analysis, and human mobility. His work bridges computer science, geography, and health sciences, with strong applications in aging, environmental monitoring, and urban planning. Research Interests: His primary research areas include: Computational movement analysis and trajectory modeling Cartographic and map generalization using AI and deep learning Indoor and outdoor navigation systems Spatial cognition and human mobility GIScience and geospatial data science Linguistic geography and dialect modeling Publication Trends: His recent publications (2023–2025) reflect a strong focus on AI-driven map generalization (e.g., SpaGAN, GNNs), explainable AI in cartography, indoor navigation modeling, and interdisciplinary studies on human mobility in aging and post-stroke recovery. He frequently publishes in top journals such as the International Journal of Geographical Information Science , ISPRS Journal , and Computers, Environment and Urban Systems . Scientific Contributions: Robert Weibel is a leading figure in GIScience, particularly in map generalization and movement data science. He has contributed to major research initiatives including the MOBITEC-Stroke project and has co-organized key conferences like GIScience. His work on real-time generalization, semantic modeling, and deep learning for cartography has advanced the field significantly. Advising and Collaboration: He has supervised numerous students and collaborators across disciplines, including in gerontology, computer science, and ecology. His research often involves interdisciplinary teams and international partnerships. Labs and Teams: He is affiliated with the GIScience research group at the University of Zurich, contributing to projects involving mobile mapping, real-time data processing, and spatial analytics. His work is integral to the development of intelligent geospatial systems and e-learning in GIS (e.g., the GITTA project).

Luciano Andres AbriataView profile

Researcher

• Protein NMR
• NMR of paramagnetic systems
• Metalloproteins
• +4 more

Luciano Andres Abriata is a Researcher and Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with multiple departments including the School of Engineering (SV), the Protein Production and Structure Core Facility (PTSPS), and educational units like EDCH and EDMS. His primary role is within the UPDALPE group under Prof. Dal Peraro, focusing on structural biology and molecular modeling. Research Interests: Protein NMR and paramagnetic systems analysis Structural studies of metalloproteins and biomolecular spectroscopy Development of web-based tools for molecular modeling (e.g., HandMol, MoleculARweb) AI-driven approaches in structural biology and protein engineering Teaching & Courses: Integrative Structural Biology for Life Sciences Recombinant Protein Expression in Animal Cells Bio-NMR Techniques (Levels 1 & 2) Labs & Collaborations: Active in the Laboratory of Bioengineering and Microtechnology (LBM) and involved in interdisciplinary projects blending computational methods with experimental structural biology. His work emphasizes translating molecular insights into educational tools and sustainable biocatalysis applications.