Johannes Aichele, PhD , is a researcher at the Institute of Geophysics of ETH Zürich. His work focuses on advanced wave physics and imaging techniques across geophysical and biomedical domains. Research interests include: Seismic monitoring of geohazards (rock slopes, debris flows) Shear-wave and elastography imaging Wave dynamics in porous/time-dependent materials Acoustic cloning and inverse problems High-frame-rate ultrasound applications Recent publications highlight innovations in distributed acoustic sensing, rupture nucleation imaging, and cross-domain applications of wave physics. Notable trends include real-time monitoring systems, computational wave modeling, and interdisciplinary approaches bridging geophysics and biomedical diagnostics.
Christoph Leuenberger is a Lecturer at the University of Fribourg, holding positions in the Department of Informatics and the Department of Physics, while also serving in the Dean's Office of the Faculty of Science and Medicine. His work bridges computational methods, population genetics, and ecological modeling. He specializes in statistical inference techniques, particularly Bayesian methods applied to genomic data and evolutionary processes. His research focuses on analyzing population trends, genetic diversity, and evolutionary dynamics across species. Key research interests include computational biology, population genetics, and the development of statistical tools for analyzing large-scale genomic datasets. He has contributed to studies on lactase persistence evolution, ancient DNA analysis, and predator population dynamics. His interdisciplinary approach integrates methods from computer science, mathematics, and ecology to address complex biological questions. Recent articles highlight his work in ecological monitoring, Bayesian inference for sex chromosome analysis, and evolutionary jump modeling in phylogenies. These studies underscore his expertise in bridging theoretical frameworks with practical data analysis in genetics and environmental science. No scientific awards or grants are explicitly mentioned in the provided information. He advises no students listed here but actively contributes to teaching and academic administration within the Faculty of Science and Medicine. Labs and teams associated with his work are not specified in the available data. His location is at PER 21 bu. C321, Bd de Pérolles 90, 1700 Fribourg, with contact details via email and ORCID.
Dr. Alex Amato is a researcher at the Paul Scherrer Institute (PSI), leading work in the PSI Center for Neutron and Muon Sciences. His research focuses on advanced materials characterization using muon spin spectroscopy (µSR), gravitational-wave detector technologies, and superconductivity in novel materials. He has contributed to mirror coating developments for LIGO/Virgo/KAGRA detectors and pioneered non-destructive analysis techniques like muon-induced X-ray emission (MIXE) for archaeological and industrial applications. Key domains include: Muon-based material studies Gravitational wave instrumentation Kagome superconductors Magnetic phase transitions His publications from 2022–2025 highlight work on charge-order phenomena in kagome superconductors, magnetic crossover behaviors in topological magnets, and novel detector designs for particle tracking. Collaborations include major initiatives like the LIGO Scientific Collaboration and KAGRA experiments. His work integrates cutting-edge muon beam applications with high-pressure material studies, advancing understanding of superconductivity, magnetism, and quantum phase transitions.
Shiyi Li is currently a Lecturer at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. His research focuses on observing the cryosphere using Synthetic Aperture Radar (SAR), developing algorithms for SAR image processing and data analysis, which he applies to studies such as glacier flow velocity estimation, snow distribution mapping, and glacier mass balance change measurement. Education: - Ph.D. Candidate in Environmental Engineering, ETH Zürich (ongoing) - M.S. in Applied Geophysics, jointly from Delft University of Technology (The Netherlands), ETH Zürich (Switzerland), and RWTH Aachen University (Germany), 2018 - B.S. in Geology, Nanjing University (China), 2014 Research interests prominently include SAR technology, cryosphere dynamics, and glaciology. He explores algorithmic advancements for environmental monitoring, particularly in remote sensing applications for snow and ice systems. His work integrates topographic data with SAR observations to improve understanding of climate-driven cryospheric changes. Advising and Grants: While currently a Ph.D. candidate, no specific advising roles or grants are mentioned in the provided text. His research aligns with ETH Zürich's focus on environmental engineering and geomatics, contributing to interdisciplinary studies in cryosphere observation.
Rolf Gruetter is Full Professor at École polytechnique fédérale de Lausanne (EPFL), holding joint appointments in the Laboratory of Functional and Metabolic Imaging (School of Life Sciences) and the Teaching Conference (CCE). His research focuses on advanced biomedical imaging techniques including magnetic resonance spectroscopy and neuroimaging. He teaches courses on biomedical imaging fundamentals and neuroscience. Honors include the Young Investigator Award (1999), ESMRMB Fellowship (2011), and EPFL Teaching Award (2011). Editorial responsibilities span multiple neuroscience and imaging journals including Journal of Neuroscience Research and Frontiers in Neuroenergetics. Research leadership includes supervision of 30+ PhD students and postdoctoral researchers. Laboratory investigations center on brain energy metabolism, hypoglycemia neuroscience, and development of novel MR instrumentation and methodologies.
Dr. Lalasia Bialic-Murphy is a Lecturer in the Department of Environmental Systems Science at ETH Zurich, Switzerland. Her research focuses on understanding ecological systems through interdisciplinary approaches combining remote sensing, plant physiology, and biodiversity conservation. She specializes in ecosystem resilience, forest dynamics, and the impacts of climate change on global ecosystems. Her work bridges macroecological patterns with micro-scale processes, particularly in island ecosystems and endangered species conservation. Notable projects include studying wood density global patterns, functional trait trade-offs, and the application of large language models in scientific research. Recent studies highlight her contributions to understanding alternative stable states in forest phenology, biodiversity-productivity relationships, and invasive species impacts. She advocates for standardized biodiversity assessment frameworks and integrates AI tools to enhance ecological data interpretation. Awards and grants are not explicitly listed, but her extensive publication record reflects active engagement in global environmental science networks. Collaborations include fieldwork in Hawaii on endangered plant species and long-term experiments on mycorrhizal fungal communities in invaded ecosystems.
Dr. Emanuel Devers is a Lecturer at the Department of Environmental Systems Science, ETH Zurich. His research focuses on the molecular biology and biochemistry of biotic interactions between plants and microbes, fungi, viruses, and insects. Specialized in RNA interference and small RNA biology, his work explores mechanisms underlying plant defense and symbiotic relationships. Research interests include understanding how mobile small RNAs, such as siRNAs and miRNAs, regulate plant responses to environmental challenges and symbiotic partnerships. His studies often involve model organisms like Arabidopsis thaliana and Medicago truncatula, analyzing gene regulation, RNA mobility, and molecular signaling pathways. Dr. Devers' publications highlight advancements in plant-microbe communication, RNA transport dynamics, and the role of miRNAs in symbiosis. His work bridges fundamental molecular mechanisms with applied plant biology, contributing to biotechnological strategies for enhancing plant productivity and stress resilience.
Marco Griepentrog is a Lecturer in the Department of Earth and Planetary Sciences at ETH Zurich, where he researches terrestrial biogeochemistry and isotope applications. He earned his PhD in Soil Science and Biogeochemistry from the University of Zurich and completed postdoctoral research at Ghent University. His work examines molecular interactions between plants, soil, and atmosphere. Griepentrog specializes in compound-specific isotope analysis (CSIA) of biomarkers to study carbon cycling and organic matter turnover. His research develops isotopic proxies for biogeochemical processes in soils, particularly using GDGTs as environmental indicators. Current projects investigate soil organic matter stabilization mechanisms and climate effects on biomarker distributions across global ecosystems. His publications demonstrate methodological innovation in extracting climate signals from soil biomarkers. Recent work analyzes GDGT responses to soil chemistry variations in diverse environments from African wetlands to tropical rainforests.
Prof. Dr. Mark Mescher is a Lecturer at the Department of Environmental Systems Science at ETH Zürich, Switzerland. His research focuses on ecological interactions between plants and insects, particularly exploring plant defense mechanisms, chemical ecology, and the impacts of environmental changes on biodiversity. He investigates how plants respond to herbivory, pathogen infection, and symbiotic relationships, with a strong emphasis on natural and agricultural ecosystems. Key research interests include the role of plant volatiles in defense priming, insect behavior modification by pathogens, and the ecological consequences of invasive species. His work integrates field studies with controlled experiments to understand multitrophic interactions and their implications for pest management, conservation, and sustainable agriculture. Recent studies highlight his contributions to understanding how plant-microbe interactions influence herbivore populations, the effects of climate change on pollinator behavior, and the application of ecological principles to mitigate agricultural pests. Mescher’s research also explores the broader implications of biodiversity loss and habitat management strategies in restoring ecosystem functions.
Dr. Jing Ren is affiliated with the Department of Computer Science at ETH Zürich, holding a role within the Professorship for Computer Science. Their research focuses on computational geometry, 3D reconstruction, and computer graphics, with notable contributions to shape analysis, non-rigid matching, and fabric modeling. Dr. Ren’s work bridges theoretical advancements with practical applications in textile design, architectural modeling, and medical imaging. They collaborate extensively on projects involving functional maps, optimization algorithms, and geometric morphometrics. Key research interests include: Non-rigid shape correspondence and matching Computational modeling of woven fabrics and textiles 3D face and building reconstruction techniques Efficient spectral and discrete optimization methods Recent publications (2022–2024) emphasize innovations in fabric parameterization, Gaussian noise distribution, and rethinking 3D face reconstruction benchmarks. Their work often employs machine learning and functional map frameworks to solve geometric problems across disciplines. Laboratory and team affiliations are not explicitly detailed in the provided materials, but their research aligns with ETH Zürich’s broader initiatives in computer science and engineering. No grants or advising activities are specified in the current data.
Dr. Jong Hoon Kwon is a Lecturer in the Department of Computer Science at ETH Zürich. His primary research focuses on edge computing, network security, and distributed systems. He has contributed to advancements in mobile edge computing resource allocation, user allocation strategies, and end-to-end system modeling for big data applications. His work often intersects with optimization algorithms, quality of service (QoS), and stochastic systems. Dr. Kwon has collaborated extensively with researchers like John C. Grundy and Qiang He on topics ranging from NOMA-based systems to data analytics tool support. His publications highlight a strong emphasis on practical applications of theoretical models in real-world computing environments. Core Affiliations: Professur für Informatik, ETH Zürich Key Research Themes: Mobile Edge Computing, Network Security, Resource Optimization His recent work emphasizes dynamic systems and collaborative approaches to requirement modeling in big data contexts. While no formal awards are listed, his prolific publication record (over 150 entries) underscores sustained academic contributions. He has advised on numerous collaborative projects involving industry-relevant applications like 5G networks and cyber-physical systems.
Dr. Erwin Riegler is a Lecturer at the Department of Information Technology and Electrical Engineering (D-ITET) at ETH Zurich. His research focuses on information theory, signal processing, and their applications in communication systems, with particular expertise in analog compression, matrix completion, and uncertainty principles. He has contributed to theoretical frameworks for rate-distortion analysis, lossless compression techniques, and the design of efficient algorithms for MIMO systems. Key research areas include: Information-theoretic limits of data compression Signal processing in analog systems Algorithmic approaches for sparse signal recovery Optimization techniques in MIMO communication channels Recent work emphasizes interdisciplinary applications, such as neural networks for measure theory and probabilistic methods for signal separation. No scientific awards are explicitly mentioned in the provided texts. His academic contributions span over 30 peer-reviewed articles since 2001, covering topics from string theory to modern communication systems.
Thomas Hudson is a Lecturer at ETH Zurich's Department of Earth and Planetary Sciences, specializing in seismology with a focus on novel technologies for Earth system studies. He holds a PhD in Earth Sciences from the University of Cambridge and has held academic positions at the University of Oxford and ETH Zurich. His research integrates cutting-edge seismic instrumentation, such as distributed acoustic sensing (DAS) and seismic nodes, to investigate critical processes like glacier dynamics, geothermal fluid migration, and critical mineral exploration. Recent projects include studying Antarctic ice stream mechanics and geothermal systems using fiber optic sensing. Education : PhD in Earth Sciences (2015–2019), University of Cambridge/British Antarctic Survey MPhys in Physics (2012–2015), University of Durham BEng in Mechanical Engineering (2010–2012), University of Bath Research Interests : Hudson’s work spans: Glacier processes (crevassing, basal slip) Geothermal fluid dynamics and critical mineral exploration Development of DAS and seismic node technologies Volcanic and tectonic seismicity analysis His research emphasizes translating technical advancements into societal benefits like renewable energy and climate resilience. Advising & Grants : Hudson leads projects funded by institutions such as ETH Zurich and international collaborations. He actively mentors early-career researchers through fellowships and academic roles at Oxford and ETH Zurich. Labs/Teams : Affiliated with ETH Zurich’s Institute of Geophysics and collaborates globally on initiatives like Antarctic cryosphere monitoring and geothermal exploration.
Federica Lanza is a Lecturer at the Department of Earth and Planetary Sciences at ETH Zurich, affiliated with the Schweiz. Erdbebendienst (SED), the Swiss Seismological Service. Her work focuses on seismology, geophysics, and geothermal systems, with expertise in induced seismicity, fault dynamics, and advanced monitoring technologies like Distributed Acoustic Sensing (DAS). She teaches courses such as Seismic Waves II in the Autumn Semester 2025. Her research integrates field experiments, computational modeling, and machine learning to address challenges in seismic hazard assessment, geothermal energy development, and tectonic processes. Key areas include forecasting induced earthquakes at geothermal sites, analyzing fault interactions in fold-and-thrust belts, and developing innovative sensor systems for subsurface monitoring. Dr. Lanza collaborates on large-scale projects like the Utah FORGE initiative, advancing techniques for real-time seismic monitoring and fracture network characterization. Her contributions bridge fundamental geophysical research with practical applications in energy systems and risk mitigation.
Dr. Devin Crichton holds the Professorship for Physics at ETH Zürich, focusing on observational cosmology and radio astronomy. His research centers on large-scale structure studies, galaxy cluster physics, and cosmic microwave background (CMB) analysis through major experiments like the Atacama Cosmology Telescope (ACT) and the Hydrogen Intensity Real-Time Analysis eXperiment (HIRAX). Key projects include developing SKA simulation frameworks and investigating 21cm intensity mapping for cosmological insights. His work spans telescope instrumentation (e.g., HIRAX antenna design), CMB power spectrum analysis, and SZ-selected cluster catalogs. Contributions include advancing understanding of cosmic string wakes and quasar feedback mechanisms through multi-wavelength observations. Dr. Crichton collaborates on international initiatives such as the Simons Observatory and LiteBIRD, addressing questions about dark energy, neutrino physics, and early universe cosmology. His technical expertise includes data pipeline development for real-time analysis and precision measurement systems for radio telescope noise characterization.
