جست‌وجوی استاد و پژوهشگر

Gregor Schuhknechtمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• Systems Neuroscience
• Neuronal Circuitry
• +۴ مورد دیگر

Dr. Gregor Schuhknecht is a Researcher and incoming Max-Planck Research Group Leader at the Max Planck Institute for Brain Research in Frankfurt, Germany. Starting December 2025, he will lead the Brain Algorithms and Circuits Group, focusing on computational neuroscience and neuronal circuitry in larval zebrafish. His work bridges experimental and computational approaches to understand brain algorithms enabling flexible behaviors. Education PhD in Neuroscience (2014–2019), Institute for Neuroinformatics, University of Zurich and ETH Zurich MSc in Biology (Neuroscience) (2012–2019), ETH Zurich BSc in Biosciences (2009–2012), Heidelberg University His research investigates how synaptic circuitry implements computational algorithms for sensorimotor processing, evidence accumulation, and behavior. Experimental approaches include functional imaging, optogenetics, connectomics, and computational modeling. The group will explore neuronal circuits across scales, from synapse to behavior, with a focus on biophysical properties and dynamic environmental adaptation. Recent publications highlight correlative light/electron microscopy, developmental activity-free circuit formation, and neocortical synapse analysis. Scientific Awards Meselson Prize (2024) Aspirational Neuroscience Award (2023) Best Publication Award (2021) Swiss National Science Foundation Fellowships (2021, 2019, 2018) Gregor Schuhknecht's lab will welcome graduate and postdoctoral researchers starting December 2025, focusing on experimental and computational systems neuroscience. He previously collaborated with Harvard University's Department of Molecular and Cellular Biology and the Department of Moritz Helmstaedter for connectomic analyses.

Waldemar Kolanusمشاهده پروفایل

استاد

• Molecular Immunology
• Cell Signaling
• Signal Transduction Pathways
• +۴ مورد دیگر

Prof. Waldemar Kolanus leads the Molecular Immunology and Cell Biology department at the University of Bonn's Life & Medical Sciences Institute (LIMES) . His research bridges immunoregulation , stem cell dynamics , and metabolic stress responses in immune cells. Unit 2 member at LIMES Principal investigator in SFB 704 and ImmunoSensation Cluster Leads a multidisciplinary lab with postdocs, PhD students, and technical staff His work focuses on intracellular signaling pathways connecting immune activation to tissue homeostasis, particularly through: Cytohesin proteins in integrin-mediated adhesion and migration TRIM71 in stem cell regulation and congenital hydrocephalus High-salt environments affecting macrophage function Publication trends show expertise in immune cell migration , genetic models , and chemical inhibition , with frequent use of mice and zebrafish for in vivo studies. Key articles explore: TRIM71's dual role in auditory development and germ cell maintenance Cytohesin family's Golgi regulation and insulin signaling Ruxolitinib's off-target migration inhibition of dendritic cells Contact details: Address: LIMES Institute, Carl-Troll-Straße 31, Bonn Email: kolanus.sekretariat@uni-bonn.de Phone: +49 228 73-62788

Ruben Portuguesمشاهده پروفایل

استاد

• Neuroscience
• Systems Neuroscience
• Behavioral Neuroscience
• +۷ مورد دیگر

Ruben Portugues is a Professor of Brain Circuit Function and Dysfunction at the Institute of Neuroscience, Technical University of Munich (TUM). He is a full member of the Graduate School of Systemic Neurosciences (GSN), an associate and advisory board member of the Munich Center for Neurosciences (MCN), and leads a research group focused on understanding the neural basis of behavior. His lab uses larval zebrafish as a model organism to investigate sensorimotor control, decision-making, and motor learning through whole-brain imaging and circuit analysis. His research interests lie at the intersection of systems neuroscience and behavior. He investigates how brain circuits process sensory information, integrate it with motor output, and enable adaptive and flexible behavior. Key areas include the function of the cerebellum, heading direction networks, sensorimotor transformations, and the neural mechanisms of decision-making. His lab employs cutting-edge techniques including custom-built microscopes, behavioral assays, and computational analysis. The recent publications and preprints from his lab demonstrate a strong trend in decoding distributed neural circuits underlying navigation and decision-making in zebrafish. There is a clear focus on identifying specific brain regions (e.g., interpeduncular nucleus, cerebellum) and cell types involved in processing visual, motor, and spatial information. The work increasingly emphasizes whole-brain functional imaging and the emergence of cognitive-like representations such as allocentric heading direction. FENS-Kavli Network of Excellence (FKNE) PhD Thesis Prize (awarded to student Luigi Petrucco) Ruben Portugues actively mentors PhD students, including current advisees Luigi Petrucco, Ot Prat, and Shuhong Huang, and has successfully graduated Dr. Elena Dragomir and Dr. Vilim Štih. His lab engages in extensive collaborations, hosts visiting researchers, participates in teaching (e.g., CSHL Imaging Course, Cajal Course), and secures resources for advanced research. The lab is known for building its own microscopes and software, fostering technical innovation. The Portugues Lab operates as a dynamic, interdisciplinary team that combines experimental neuroscience with computational and engineering approaches. They regularly hold retreats, participate in scientific events, and contribute to community initiatives like the Munich Brain Day. The lab is preparing to relocate to the Department of Neurobiology and Behavior at Cornell University, marking a new phase in its research trajectory.

Andreas Herzمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Coding
• Spatial Navigation
• +۳ مورد دیگر

Prof. Dr. Andreas Herz is a Chair in Computational Neuroscience at the Faculty of Biology, Ludwig-Maximilians-Universität München (LMU). His research focuses on understanding neural mechanisms underlying spatial navigation, temporal cognition, and sensory processing. He leads the Computational Neuroscience group and collaborates with the Bernstein Center for Computational Neuroscience Munich. Research Interests: Dr. Herz investigates how neural systems encode spatial and temporal information, including grid cells, head-direction systems, and neural coding strategies. His work bridges experimental neurophysiology with theoretical modeling, addressing topics like cognitive maps, neural variability, and synaptic plasticity. Teaching & Mentorship: He oversees advanced courses on computational neuroscience and neurophysiology, fostering interdisciplinary training for graduate students. His research group includes prominent collaborators like Dr. Martin Stemmler and PD Dr. Kay Thurley, focusing on projects involving neural network dynamics and behavioral neuroscience. Publications & Impact: Over 85 peer-reviewed articles highlight his contributions to understanding entorhinal-hippocampal circuits, dendritic processing, and neural representation of space/time. Key work includes studies on grid cell variability, zebrafish spatial memory, and cytoskeletal organization in dendritic spines.

Sabine Emingمشاهده پروفایل

استاد

• Tissue regeneration
• Immunometabolism
• Wound healing
• +۵ مورد دیگر

Professor Sabine Eming is a Principal Investigator at the Department of Dermatology & FMNS at the University of Cologne, affiliated with the CMMC and collaborating with CECAD. Her research focuses on the molecular basis of age-related skin pathologies and regenerative responses. Investigates tissue regeneration, immunometabolism, and TOR signaling Develops therapeutic strategies for injured/aging tissues Uses cross-species models (mice, zebrafish, Drosophila, humans) Her work bridges basic science and clinical expertise to translate findings into therapeutic approaches, particularly examining: Metabolic reprogramming in wound healing Immune system's role in regeneration vs. scarring Lipid synthesis and filaggrin processing in skin barrier formation Scarless repair mechanisms in zebrafish vs. mammals She leads research into molecular control systems including: Cell death regulation (FADD-RIPK3 pathways) Nutrient-sensing TOR pathway in skin aging Glutamine metabolism in stem cell maintenance Her group develops genetically modified mouse models and collaborates on clinical trials for impaired healing conditions.

Beate Escherمشاهده پروفایل

استاد

• Environmental Toxicology
• In Vitro Bioassays
• New Approach Methods (NAMs)
• +۱۲ مورد دیگر

Prof. Dr. Beate Escher is Head of the Department of Cell Toxicology at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. She holds professorial positions at Eberhard Karls University of Tübingen , is a Privatdozent at ETH Zurich , and is affiliated with the University of Queensland and Griffith University in Australia. Her research program focuses on advancing in vitro bioassays and New Approach Methods (NAMs) for environmental and human health risk assessment of micropollutants. Her research interests lie at the intersection of environmental toxicology , molecular toxicology , and exposure science . She develops and applies bioanalytical tools for water quality assessment, with a focus on pharmaceuticals, pesticides, and transformation products. Her work includes mechanism-based toxicity assessment , toxicokinetic-toxicodynamic (TKTD) modeling , and the development of the CITEPro robotic bioassay platform for high-throughput screening. She integrates omics data , computational modeling , and machine learning to improve chemical hazard characterization. Recent publications highlight trends in chemical mixture toxicity , safe-by-design chemicals , ionic compound assessment , and machine learning applications in toxicology. Her work increasingly leverages data-driven approaches to prioritize contaminants and predict biological effects across species. Scientific Awards: Highly Cited Researcher (Web of Science/Clarivate, Top 0.1%, 2020) Outstanding Achievements in Environmental Science and Technology (ES&T & ACS ENVR, 2023) Advising and Grants: She supervises multiple doctoral students and leads major collaborative projects such as InCeTo, MibiTox, nanoINHALE, and SafePol. She received an Australian Research Council grant (2011–2014) and leads Swiss National Science Foundation-funded initiatives. She was a member of the German Science Council (2017–2024) and serves on the Board of Reviewing Editors of SCIENCE . Labs and Teams: She leads the Cell Toxicology team at UFZ, which includes researchers such as Dr. Luise Henneberger, Dr. Julia Huchthausen, and Dr. Haotian Wang. The team operates the CITEPro platform and contributes to international consortia focused on exposome research and chemical safety.

Pablo Oteizaمشاهده پروفایل

استاد پژوهشی

• Hydrodynamics
• Sensory Biology
• Animal Behavior
• +۳ مورد دیگر

Dr. Pablo Oteiza serves as Research Group Leader at the Max Planck Institute for Biological Intelligence in Martinsried, Germany, where he leads the Flow Sensing research group. Previously, he was Group Leader at the Max Planck Institute for Ornithology (2019-2024) and Research Associate there (2016-2019). His academic journey includes a postdoctoral fellowship at Harvard University's Department of Molecular and Cellular Biology and Center for Brain Science (2010-2016), and graduate studies at Universidad de Chile and the Max Planck Institute for Molecular and Cellular Biology (2004-2010). Dr. Oteiza's research program investigates how aquatic animals sense and respond to their hydrodynamic environment. His quantitative behavioral approach seeks to understand the fundamental principles governing flow navigation in fish and amphibians. His work spans sensory biology, neuroscience, biomechanics, and evolutionary biology, with zebrafish serving as a primary model organism. His research bridges physical hydrodynamics with biological sensory mechanisms, exploring how organisms extract meaningful information from fluid movements. Analysis of Dr. Oteiza's publications reveals a research trajectory evolving from developmental biology toward specialized sensory mechanisms. His work in high-impact journals demonstrates consistent focus on sensory systems across multiple scales - from cellular and molecular mechanisms to whole-organism behavior. His research shows particular strength in connecting physical stimuli with neural processing and behavioral outputs, especially in aquatic environments. As Research Group Leader, Dr. Oteiza oversees a laboratory investigating fundamental questions about hydrodynamic sensing. His team employs advanced techniques to study neural circuits, sensory processing, and behavioral responses to water flow, contributing significantly to our understanding of how organisms interact with their fluid environments. His collaborative work extends across international institutions, reflecting the interdisciplinary nature of his research.

Michael Nothnagelمشاهده پروفایل

استاد

• Statistical Genetics
• Genetic Epidemiology
• Population Genetics
• +۵ مورد دیگر

Michael Nothnagel is a Professor at the University of Cologne, where he leads the Department of Statistical Genetics and Bioinformatics within the Cologne Center for Genomics (CCG). His work spans statistical genetics, genetic epidemiology, and forensic genetics, focusing on methodological development and large-scale genomic data analysis. His research interests encompass theoretical and applied statistical genetics, with emphasis on human genetic diversity, disease etiology, and forensic applications. Key areas include Y-chromosomal phylogeography, genome-wide association studies for complex diseases, development of statistical methods for variant interpretation, and forensic marker optimization. His group leverages next-generation sequencing data and specialized forensic markers to address questions in population history, disease mechanisms, and identification systems. Recent publications reveal a strong focus on computational approaches to genetic analysis, including spatial frequency interpolation for haplogroup mapping, polygenic risk score applications for behavioral traits, and advanced methods for variant classification. His work demonstrates consistent integration of statistical theory with practical applications in medical and forensic genetics, often through international collaborations like the VISAGE Consortium. Nothnagel maintains active involvement in the Cologne Center for Genomics, contributing to seminars and collaborative projects including the upcoming 34th International Genetic Epidemiology Society meeting. His research group operates at the intersection of computational biology and medicine, with particular strengths in handling complex genomic datasets and developing novel analytical frameworks for genetic epidemiology.

Gil Westmeyerمشاهده پروفایل

استاد

• Molecular Sensors
• Molecular Actuators
• Neuroimaging
• +۷ مورد دیگر

Prof. Dr. Gil Westmeyer is a Professor of Neurobiological Engineering at the Technical University of Munich (TUM), holding joint appointments at the TUM School of Natural Sciences and TUM School of Medicine and Health. He serves as Director of the Institute for Synthetic Biomedicine at Helmholtz-Zentrum München and leads the Chair of Neurobiological Engineering at TUM. His research program bridges molecular engineering, neuroimaging, and synthetic biology to develop next-generation tools for understanding and manipulating cellular networks. Westmeyer's educational background includes medical and philosophical studies in Munich, doctoral work on the molecular basis of Alzheimer's disease under Professor Christian Haass, clinical training at Harvard Medical School, and postdoctoral research with Professor Alan Jasanoff at MIT. His laboratory focuses on creating genetically encoded molecular sensors and actuators that enable non-invasive imaging and remote control of cellular processes across multiple scales. His research spans three primary domains: molecular sensors for multimodal imaging (from electron microscopy to whole-organism optoacoustics), molecular actuators for spatiotemporal control of cellular processes, and neurobehavioral imaging in freely behaving model organisms. The lab's work integrates synthetic biology, nanotechnology, and advanced imaging techniques to create tools that map dynamic signaling processes and manipulate cellular functions with unprecedented precision. Westmeyer's publication record demonstrates consistent innovation in molecular engineering, with recent work focusing on genetically encoded barcodes for electron microscopy, intron-encoded reporting systems, multiplexed optoacoustic imaging, and magnetically responsive cellular compartments. His publications in high-impact journals like Nature Methods, Cell, and Nature Biotechnology reflect the significance of his contributions to molecular imaging and engineering. ERC Proof of Concept 'inteRNAlizer' (2023) ERC Consolidator Grant 'EMcapsulins' (2019) ERC Starting Grant 'MagnetoGenetics' (2013) Helmholtz Young Investigator's Group (2011) Westmeyer actively mentors students and researchers through multiple teaching positions at TUM, including courses in biological chemistry, genetic machine development (iGEM), mammalian cell technology, and neuro-recording methods. His laboratory develops technologies with clear translational potential for future neurotherapies and regenerative medicine applications, particularly through the creation of imaging-controlled cellular interventions. The lab maintains strong collaborations across disciplines and institutions, with research that contributes to multiple UN Sustainable Development Goals related to health and wellbeing.

• Light Sheet Microscopy
• Biomedical Imaging
• Developmental Biology
• +۴ مورد دیگر

Jan Huisken is a Humboldt Professor for Multiscale Biology at the Georg-August-Universität Göttingen, affiliated with the Johann Friedrich Blumenbach Institute of Zoology and Anthropology. His research focuses on advanced light sheet microscopy techniques for biomedical and developmental biology applications. Role: Humboldt Professor University: Georg-August-Universität Göttingen Department: Johann Friedrich Blumenbach Institute of Zoology and Anthropology Research interests include light sheet microscopy , biomedical imaging , and developmental biology with a strong emphasis on zebrafish models. He develops tools for tissue clearing , image processing , and 3D microscopy . The 15 most recent publications analyze innovations in light sheet microscopy, tissue clearing protocols, and computational methods for image restoration. These works span fields such as optical imaging , developmental cardiology , computational biology , and biomedical instrumentation . Huisken contributes to open-source microscopy systems like 'Flamingo' and 'BigFUSE,' aiming to democratize access to advanced imaging technologies. His work integrates engineering, computer science, and biology to solve complex imaging challenges.

Amparo Acker-Palmerمشاهده پروفایل

استاد

• Neurovascular Interface
• Molecular Signaling Pathways
• Vascular Biology
• +۴ مورد دیگر

Amparo Acker-Palmer is a Professor at Goethe University Frankfurt's Institute of Cell Biology and Neuroscience, Department of Molecular and Cellular Neurobiology, and holds a Max Planck Fellow position at the MPI for Brain Research since 2014. Her research focuses on the molecular crosstalk between vascular and nervous systems at the neurovascular interface. Her primary research interests include: Neurovascular communication during CNS development Molecular pathways in vessel-nerve crosstalk Vascular roles in synaptic plasticity Ephrin/VEGF receptor signaling mechanisms Neurovascular interface in disease models Analysis of her 51 publications reveals consistent focus on vascular guidance in neural development, receptor crosstalk (particularly EphrinB2/VEGFR2), and neurovascular unit dynamics. Her work spans molecular neuroscience, vascular biology, and developmental neurobiology, with significant contributions to understanding how blood vessels instruct neuronal behavior. Her laboratory utilizes mouse and zebrafish models to investigate these processes, with recent work emphasizing therapeutic implications for neural repair and cancer metastasis.

• Collective Intelligence
• Robotics
• Animal Behavior
• +۴ مورد دیگر

Liang Li is a Group Leader at the Max Planck Institute of Animal Behavior , leading the Embodied Collective Intelligence Lab . Her research bridges biology and robotics to study collective behavior through physical agent-environment interactions. Current position: Group Leader, Department of Collective Behavior Past roles: Project Leader at University of Konstanz and MPI Education: Ph.D. in Robotics and Control, College of Engineering, Peking University Research Interests Dr. Li's work focuses on embodied cognition , swarm intelligence , and fluid dynamics in biological and robotic systems. Key areas include hydrodynamic interactions in fish schooling, bio-inspired robotics design, and translating biological principles into robotic applications. Article Trends : Recent publications emphasize energy efficiency in swimming systems, hydrodynamic modeling for collective behavior, and virtual reality tools for behavioral studies. Interdisciplinary themes span robotics, fluid dynamics, neuroscience, and evolutionary ecology. Collaborations & Grants Her research involves international collaborations with institutions like University of Konstanz and Peking University. Grants include funding for robotic platforms (RoboTwin) and advanced pose estimation tools (DeepPoseKit). Labs & Teams The Embodied Collective Intelligence Lab is a small, interdisciplinary team specializing in bio-robotic systems. The group develops experimental robotic platforms and computational models to decode collective behavior rules.

• Ecotoxicology
• Environmental Risk Assessment
• Pesticide Impact Analysis
• +۹ مورد دیگر

Dr. Richard Ottermanns is a Professor at the Chair of Ecotoxicology and Environmental Risk Assessment at RWTH Aachen University. He is affiliated with the Personalrat der wissenschaftlich, ärztlich und künstlerisch Beschäftigten der RWTH Aachen (Academic Senate), gaiac - Forschungsinstitut für Ökosystemanalyse und ‑bewertung e.V., and the Fachgruppe Biologie (Biology Department Group). His research focuses on ecotoxicology, environmental risk assessment, pesticide impacts, and biodiversity conservation. Key research interests include the effects of chemical mixtures on ecosystems, zebrafish developmental biology as a model organism, computational modeling of ecological systems, and sustainable forest management strategies. He has contributed to projects like the DanTox initiative, which investigates sediment-bound pollutants using zebrafish models. His work spans interdisciplinary approaches, integrating molecular biology, environmental chemistry, and computational tools to address challenges in ecological risk assessment and sustainability science. He collaborates with institutions like the Three Gorges Reservoir Project in China and the Eifel National Park in Germany.

Joergen Kornfeldمشاهده پروفایل

استاد پژوهشی

• Connectomics
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Dr. Joergen Kornfeld is a Research Group Leader at the MRC Laboratory of Molecular Biology in Cambridge, UK, where he leads the 'Connectomics of learned behaviour' group. He also maintains a connection with the Max Planck Institute for Biological Intelligence as a Guest Scientist. Previously, he was a Group Leader at the Max Planck Institute of Neurobiology in Martinsried, Germany (2021-2024). Dr. Kornfeld received his PhD in Biology (summa cum laude) from the Max Planck Institutes of Medical Research and Neurobiology, with research stays at NYU. He completed his Master's in Computational Biology and Bioinformatics at ETH Zurich and his Bachelor's in Molecular Cell Biology at Heidelberg University. Dr. Kornfeld's research focuses on understanding how animals store learned behaviors in their neuronal networks. His work centers on the zebra finch songbird as a model system, investigating how song memories are stored and retrieved from underlying brain circuits. His laboratory employs high-throughput 3D electron microscopy to map brain circuits at synaptic resolution, generating massive datasets that require advanced deep learning techniques for analysis. His team develops and applies state-of-the-art machine learning algorithms to reconstruct neural circuits and infer connectivity patterns. His recent publications demonstrate a clear trajectory toward increasingly sophisticated methods for neural circuit reconstruction and analysis, combining volume electron microscopy with deep learning approaches. The research spans multiple model organisms including zebra finches, mice, and zebrafish, with applications to understanding memory formation, behavioral control, and neural computation. Dr. Kornfeld leads a research team including Caitlin Gillespie, Nelson Medina, and Anastasia Sorokina. His laboratory is at the forefront of developing new methodologies for connectomics that bridge neuroscience, computer science, and engineering. He maintains active collaborations with multiple institutions including MIT, NYU, and the Max Planck Society.

Andreas Herzمشاهده پروفایل

استاد

• Computational Neuroscience
• Theoretical Neuroscience
• Neural Coding
• +۱۱ مورد دیگر

Andreas Herz is a Professor and Senior Scientist at the Division of Neurobiology, Faculty of Biology, Ludwig-Maximilians-Universität München (LMU). He is a Board Member and Speaker of the Bernstein Center Munich, a leading institution in computational neuroscience. His research integrates theoretical modeling with experimental data to explore neural dynamics, information processing, and spatial navigation. Institution: Ludwig-Maximilians-Universität München School: Faculty of Biology Department: Division of Neurobiology Leadership: Speaker, Bernstein Center Munich Email: herz@bio.lmu.de Herz’s research focuses on computational and theoretical neuroscience, particularly the neural basis of spatial navigation, population coding in grid cells, dendritic spine biophysics, and sensory information processing. He employs methods from dynamical systems, probability theory, and information theory to model single neurons and large-scale networks. His work spans model systems from grasshoppers to rodents and zebrafish, aiming to uncover general principles of neural computation. The recent publications highlight a strong trend in understanding grid cell dynamics, spatial memory, and dendritic computation. His work frequently involves decoding neural population activity, analyzing in vivo electrophysiological data, and developing theoretical frameworks for neural coding. Themes include burst firing, phase precession, remapping, and energy-efficient neural coding. He has mentored numerous PhD and MSc students through the Graduate School of Systemic Neurosciences (GSN), including Alexander Mathis, Johannes Nagele, and Michaela Poth. His group actively collaborates with experimental labs, contributing to interdisciplinary advances in neuroscience.