جست‌وجوی استاد و پژوهشگر

• Neuroscience
• Cognitive Neuroscience
• Neuroethology
• +۳ مورد دیگر

Andreas Nieder is a Professor at the University of Tübingen, affiliated with the Faculty of Mathematics and Natural Sciences under the Department of Biology. He serves as a Director at the Institute of Neurobiology and leads the Animal Physiology department. Academic Rank: Professor Main Affiliation: Department of Biology, University of Tübingen Leadership Role: Director, Institute of Neurobiology Research Focus Nieder's research spans Neuroscience, Cognitive Neuroscience, and Neuroethology, with particular emphasis on numerical cognition, avian intelligence, and neural mechanisms of abstract representations. His work investigates how crows and primates process numerosity, zero concepts, and cognitive control through comparative neurobiology. Key Topics: Numerosity coding, neural dynamics, geometric perception, cognitive evolution Species: Macaques, crows (Corvus corone) Techniques: fMRI at 7 Tesla, functional ultrasound, single-neuron recording Scientific Contributions Nieder's recent publications (2025–2024) focus on numerical cognition (e.g., zero representation, Weber-Fechner law), avian-brain parallels with primate neurobiology (prefrontal cortex, intraparietal sulcus), and consciousness mechanisms in non-mammalian species. His work bridges experimental neuroscience with theoretical models of cognitive evolution. Academic Activities He teaches Animal Physiology (BIO125), supervises Internship in Neurobiology (4006), and leads seminars on neurophysiology, systems neurobiology, and behavioral physiology at the University of Tübingen.

Adrien Doerigمشاهده پروفایل

استاد مهمان

• Computational Neuroscience
• Cognitive Neuroscience
• Machine Learning
• +۵ مورد دیگر

Adrien Doerig is a Visiting Professor in the Department of Education and Psychology at Freie Universität Berlin, where he leads research in the Cognitive Computational Neuroscience Lab. He is also affiliated with the Bernstein Center for Computational Neuroscience. His work bridges cognitive science, computational modeling, and neural mechanisms of perception. Doerig's research focuses on the intersection of computational neuroscience and artificial intelligence, with particular emphasis on visual perception, consciousness, and the development of biologically plausible neural network models. His work explores how the brain processes visual information, with special attention to phenomena like crowding, feature integration, and the temporal dynamics of perception. He has made significant contributions to understanding the limitations of convolutional neural networks for modeling human vision and has pioneered work on topographic neural networks that better capture cortical organization. A key trend in Doerig's recent publications is the exploration of connections between language models and visual processing in the brain. His groundbreaking 2025 Nature Machine Intelligence paper demonstrated that large language model representations align closely with visual representations in the human brain, opening new avenues for using language-based AI in modeling biological visual processing. His work consistently challenges existing paradigms while developing more biologically plausible computational frameworks. Doerig teaches a wide range of courses including Master's in Cognitive Neuroscience, Probability and statistical modeling (both theoretical and practical with focus on ANNs and neuroimaging), Introduction to programming, Applied computational cognitive neuroscience, and specialized courses on vision, language, affective & social neuroscience, and consciousness. He also supervises graduate students through the Cognitive Computational Neuroscience Lab, which includes postdocs, predocs, master's students, and interns working on cutting-edge research questions at the intersection of cognitive science and machine learning.

Roberto A. Gulliمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Cognitive Neuroscience
• Neurophysiology
• +۷ مورد دیگر

Roberto A. Gulli is a postdoctoral Research Fellow at the Zuckerman Mind Brain Behavior Institute, Columbia University, New York City. He collaborates with Dr. Daniel Salzman (monkey behavior and neurophysiology) and Dr. Stefano Fusi (theoretical neuroscience). Research Interests: His research focuses on understanding how prior experience shapes decision-making via cortical and subcortical brain interactions, particularly in memory and decision-making disorders. Key areas include primate hippocampal and prefrontal cortex function, virtual reality paradigms for neurophysiological studies, neural coding during associative learning, and translational neuroscience for therapeutic development. Publication Trends: His work spans 2016–2024, emphasizing electrophysiology in nonhuman primates (NHPs), virtual reality toolkits, and neural mechanisms of memory and cognition. Recent studies (2024) explore visuospatial working memory, task-specific prefrontal cortex maps, and hippocampal plasticity, while earlier work (2020–2022) details computational theories of hippocampal function and neural codes in cognition. Scientific Awards: K99/R00 Transition to Independence Award through NINDS (2023) Additional Contributions: He co-developed a cross-species 3D virtual reality toolbox for neuroscience (2016), enabling precise behavioral and electrophysiological experiments. In 2024, he chaired the Gordon Research Seminar on The Neurobiology of Cognition.

Alvo Aablooمشاهده پروفایل

استاد

• Advanced Materials
• Nanotechnology
• Robotics
• +۵ مورد دیگر

Alvo Aabloo is a Full Professor at the University of Tartu's Institute of Technology, where he leads the Intelligent Materials and Systems Laboratory (IMS Lab). His affiliations include a postdoctoral position at Uppsala University (1995–1996) and ongoing roles at the University of Tartu since 2005. The IMS Lab, accessible via www.ims.ut.ee , specializes in electroactive polymers, biomimetic robotics, and sustainable materials. His research integrates Advanced Materials , Nanotechnology , and Soft Robotics , with emphasis on: Biomimetic actuators (e.g., spider-leg exoskeletons, plant-inspired fluid transport) Ionic polymer-metal composites for precision manipulation Acoustic metamaterials for noise control Green sensors using bacterial cellulose and bio-derived ionic liquids Recent publications (2022–2025) reveal trends in: Robotics education tools (ROS2 web labs, 3D-printable robots) Programmable metamaterials for environmental applications Textile-based encoding and wearable compliance modulation He pioneers sustainable tech, such as all-printed micro-supercapacitors and biodegradable artificial muscles, while collaborating globally on projects spanning Italy, China, and Sweden.

Edward A. Lemkeمشاهده پروفایل

استاد

• Intrinsically Disordered Proteins
• Neurodegenerative Diseases
• Nucleocytoplasmic Transport
• +۷ مورد دیگر

Edward A. Lemke is a Professor at Johannes Gutenberg University Mainz (JGU), jointly appointed in the Departments of Biology and Chemistry. He serves as Adjunct Director at the Institute of Molecular Biology (IMB) and Visiting Group Leader at EMBL Heidelberg, focusing on intrinsically disordered proteins (IDPs) and their roles in neurodegenerative diseases and essential biological processes like nucleocytoplasmic transport. Education : PhD in Membrane Biophysics (Max Planck Institute/University of Göttingen, 2005), MSc (University of Oklahoma, 2001), Diploma (Technical University of Berlin, 2001) His research pioneers interdisciplinary methods combining synthetic biology, chemical biology, and advanced microscopy to study dynamic protein systems. He has developed novel fluorescence and labeling tools to overcome limitations in analyzing the "dark proteome" of IDPs. Recent work highlights RNA pseudouridylation in designer organelles, SAXS rulers for IDP analysis, and visualizing nuclear transport machinery. His lab's innovations span genetic code expansion, microfluidics, and super-resolution imaging. Scientific Awards : EMBO Member (2022), ERC Advanced Grant (2020), Gutenberg Research Fellow (2018), FEBS Anniversary Award (2017), and multiple competitive grants/awards since 2001 As co-founder of Araxa/Veraxa Biosciences and spokesperson for DFG Priority Program 2191, Lemke bridges academic research and biotechnology commercialization. His lab continues advancing tools for studying complex biological systems.

Antonio Filieriمشاهده پروفایل

دانشیار مهمان

• Static analysis
• Privacy
• Automated test generation
• +۵ مورد دیگر

Antonio Filieri is a Senior Applied Scientist at Amazon Web Services (AWS) and holds a Visiting Associate Professor position at the Department of Computing, Imperial College London. Previously, he was a tenured Associate Professor at Imperial College London (2022-2024) and Assistant Professor (2016-2022), and served as Assistant Professor at the University of Stuttgart between 2013 and 2015. His academic career spans over a decade with significant contributions to software engineering research. Dr. Filieri's research focuses on formal mathematical methods for software design, verification, self-adaptation, and security. His primary research areas include static analysis, privacy, and automated test generation for security; exact and approximate methods for probabilistic program analysis; control theory for adaptive software; quantitative verification and model checking; and runtime-efficient and incremental verification. His work bridges theoretical foundations with practical applications in industry settings, particularly in cloud computing and security domains. His recent publications demonstrate a strong focus on probabilistic methods for software analysis, security testing, and performance modeling. The research trends show increasing integration of formal methods with machine learning techniques, particularly in test oracle generation and neural network analysis. There's also a clear emphasis on scalability and practical applicability of verification techniques to real-world systems like serverless computing and microservices architectures. Dr. Filieri has received numerous prestigious awards for his contributions: Best Student Paper Award (2025) for 'Robust Probabilistic Model Checking with Continuous Reward Domains' ACM Distinguished Paper Award (2023) for 'Sibyl: Improving Software Engineering Tools with SMT Selection' Best Paper Award (2022) for 'Enhancing Performance Modeling of Serverless Functions via Static Analysis' Best Artifact Award (2017) for 'Self-adaptive video encoder: comparison of multiple adaptation strategies made simple' Most Influential Paper Award (awarded at SEAMS 2025) for 'Software Engineering Meets Control Theory' ACM SigSoft Distinguished Paper Award (2011) for 'Run-time Efficient Probabilistic Model Checking' Dr. Filieri has advised several PhD students including Donato Clun (2024), Runan Wang (2024), and Xiaotong Ji (expected 2025). His advising focuses on probabilistic program analysis, automated testing, and security verification. His research has been supported by significant grants from both academic and industry sources, enabling collaborations across multiple institutions and contributing to advancements in software engineering practices. While specific lab information isn't prominently featured in the provided materials, Dr. Filieri's work suggests strong connections with research groups focused on formal methods, software verification, and adaptive systems at both Imperial College London and AWS. His research often involves interdisciplinary collaboration between theoretical computer science and practical software engineering challenges.

Richard J. Morrisمشاهده پروفایل

استاد

• Plant Communication
• Signal Transduction
• Long-Distance RNA Transport
• +۳ مورد دیگر

Richard J. Morris is Professor in Applied Mathematics and Group Leader in the Department of Computational and Systems Biology at the John Innes Centre, where he also serves as Institute Strategic Programme Leader and Associate Research Director since 2013. Previously, he led the department from 2010-2013 following postdoctoral roles at MRC-LMB, Global Phasing, and EMBL-EBI. His educational background includes: BSc and MSc in Theoretical Physics from Technical University of Graz, Austria PhD in Computational Biology from European Molecular Biology Laboratory (EMBL) Morris specializes in plant communication mechanisms, using computational and quantitative approaches to decode how environmental signals are encoded and transmitted via long-distance RNA transport. His research reduces complex biological processes to physical principles, focusing on mRNA mobility and RNA-protein interaction networks that govern plant signaling across cellular boundaries. Recent publications, including the 2022 Annual Review of Plant Biology article on RNA transport, demonstrate the group's expertise in multi-scale modeling that bridges molecular interactions and whole-plant responses. This work reveals fundamental principles of how plants interpret environmental changes through biophysical signal transmission. No specific scientific awards are mentioned in the provided text. The PLAMORF group advises PhD students like Franziska Hoerbst and includes postdoctoral researchers such as Melissa Tomkins (specializing in multi-scale modeling) and senior scientists like Pirita Paajanen (bioinformatics analysis). Research is supported by John Innes Centre strategic funding, with evidence of international collaborations through field studies in the US and Poland. The PLAMORF laboratory develops computational frameworks to simulate plant signaling systems, currently investigating mRNA biophysical properties and RNA-binding protein networks. Projects emphasize predictive modeling of environmental response mechanisms, providing training in quantitative biology for students and collaborators.

Christian Schröterمشاهده پروفایل

پژوهشگر

• Cell Differentiation
• Embryonic Development
• Stem Cell Biology
• +۴ مورد دیگر

Christian Schröter is a Research Group Leader in the Department of Systemic Cell Biology at the Max Planck Institute for Molecular Physiology in Dortmund, Germany. His work focuses on understanding the regulatory mechanisms that orchestrate cell differentiation during embryonic development and tissue homeostasis. Using embryonic stem cells as a model system, Schröter investigates how cell-cell communication drives the specialization of cells into specific lineages. Dr. Schröter completed his education with a Diploma in Biology from the University of Heidelberg (2005) and a PhD in Biology from the Technical University Dresden (2010), conducted at the MPI for Molecular Cell Biology and Genetics. His academic journey includes postdoctoral research at the University of Cambridge (2011-2016) and visiting positions at the Max Planck Institute for the Physics of Complex Systems in Dresden and École Polytechnique Fédérale de Lausanne. Schröter's research centers on how signaling molecules like FGF, BMP, Nodal, and Wnt control cell fate decisions. His lab combines experimental approaches including genetic methods, high-throughput sequencing, live-cell microscopy with mathematical modeling to understand how cells translate extracellular signals into intracellular responses. Key discoveries include the identification of intermittent ERK oscillations as a mechanism for encoding FGF signaling information and the demonstration that cell-cell communication via FGF4 establishes robust proportions of differentiated cell types in populations. Analysis of Schröter's publications reveals a consistent focus on quantitative approaches to developmental biology, with increasing integration of mathematical modeling with experimental data. His work spans from single-cell signaling dynamics to population-level coordination of cell differentiation, with recent studies exploring how embryonic stem cells self-organize into embryo-like structures. Newton Trust Postdoctoral Fellowship (2015) Marie-Curie Intra-European Fellowship (2013) EMBO Long-Term Fellowship (2011) EMBO Short-Term Fellowship (2010) Schröter leads a research team investigating how cell-cell communication systems orchestrate differentiation events during early mammalian embryogenesis. His lab employs a multidisciplinary approach combining genetic perturbations, live imaging, and quantitative analysis to build predictive mathematical models of cell signaling and differentiation. Current projects focus on quantitative encoding of extracellular signals, communication-based mechanisms for collective cell differentiation, and the self-organization of embryonic stem cell assemblies. The Schröter lab maintains a collaborative environment with members including Fiorella Fabris, Max Fernkorn, Julia Schröder, and PhD student Sina Schumacher. Their research benefits from partnerships with theoretical groups and utilizes advanced techniques such as live reporter systems, single-cell sequencing, and mathematical modeling to unravel the complex dynamics of cellular decision-making during development.

Andrea Rappمشاهده پروفایل

استاد

• Digital Humanities
• Computational Philology
• Medieval Literature
• +۳ مورد دیگر

Prof. Dr. Andrea Rapp is a Professor at the Institute of Linguistics and Literature , Technical University of Darmstadt , specializing in Digital Humanities , Computational Philology , and Medieval Studies . She serves as Managing Director of the Institute and Vice President for Scientific Infrastructure (2017–2019), with extensive roles in academic administration, including Senate Representative for Appointment Procedures and member of the Graduate School Topology of Technology. Research Focus: Digital philology, medieval text corpora, digital editions, and lexicography. Teaching: Courses in Digital Humanities, Middle High German, and medieval literature since 2011. Projects: Leadership in initiatives like TextGrid and the Darmstadt Model Edition. Publications span 20+ years, emphasizing digital methodologies, manuscript studies, and interdisciplinary applications of XML encoding, textual criticism, and historical linguistics. Her work bridges traditional philology with computational tools, contributing to sustainable digital research infrastructures. Academic Leadership: She chairs the Scientific Advisory Board of the Marbach-Weimar-Wolfenbüttel Research Association and co-founded the TextGrid Association, while serving on DFG committees and the Academy of Sciences and Literature in Mainz.

Antonio Giraldezمشاهده پروفایل

استاد

• Developmental Biology
• Gene Expression Regulation
• Genomics
• +۹ مورد دیگر

Antonio Giraldez is the Fergus F. Wallace Professor of Genetics at Yale School of Medicine, where he has led his research laboratory since 2007. He served as Director of Graduate Studies (2012-2016) and Chair of the Genetics Department (2017-2023). His academic appointments span multiple departments and centers including Biochemistry, Quantitative Biology, Biophysics and Structural Biology (BQBS), the Center for RNA Science and Medicine, Yale Cancer Center, Yale Center for Genomic Health, Yale Combined Program in the Biological and Biomedical Sciences (BBS), and the Yale Stem Cell Center. Professor Giraldez's research focuses on understanding the regulatory code that governs gene expression during vertebrate development after fertilization. His lab investigates four interconnected areas: genome activation during the maternal-to-zygotic transition, post-transcriptional regulation of gene expression, modeling of therapeutic mRNA design, and modeling of gene regulatory networks. Using zebrafish as a primary model organism combined with advanced genomic, computational, and imaging approaches, his lab has made significant contributions to understanding how transcription factors activate the embryonic genome and how RNA regulatory elements control mRNA stability and translation. Analysis of Professor Giraldez's recent publications reveals a strong focus on the molecular mechanisms of embryonic development, particularly the maternal-to-zygotic transition where control of development passes from maternal to embryonic factors. His work increasingly integrates high-throughput genomic approaches with computational modeling to decode regulatory elements in RNA that determine stability, translation efficiency, and tissue-specific expression - knowledge directly applicable to therapeutic mRNA design for gene therapy and vaccines. Scientific Awards and Honors: HHMI Faculty Scholar (2016) Blavatnik Award for Young Scientists National Finalist (2016) Vilcek Prize for Creative Promise in Biomedical Science (2014) Pew Scholar in Biomedical Sciences (2008) NYAS Blavatnik Young Investigator Award Finalist (2007) Professor Giraldez has established a productive research program with consistent funding and publication in top-tier journals. His lab maintains active collaborations with researchers across Yale and beyond, as evidenced by his frequent co-authorship with scientists from multiple departments. He has trained numerous students and postdocs who have gone on to independent research careers. The Giraldez Lab maintains a diverse team of researchers working at the intersection of developmental biology and genomics. The lab provides extensive resources including published datasets, computational tools like CRISPRscan, and detailed genomic annotations available through their data repository. Professor Giraldez's research program continues to advance our understanding of fundamental gene regulatory mechanisms with implications for both basic science and therapeutic applications.

• Systems Biology
• Signal Transduction
• Cell-Cell Communication
• +۳ مورد دیگر

Andre Levchenko is the John C. Malone Professor of Biomedical Engineering at Yale University, with secondary appointments in Neurosurgery and affiliations spanning the Yale Cancer Center (Cancer Signaling Networks Program), Systems Biology Institute (Director), Yale Biomedical Imaging Institute, and Program in Neurodevelopment and Regeneration. His lab employs interdisciplinary approaches integrating systems biology, microfluidics, and computational modeling to investigate cellular decision-making. Research focuses on three interconnected themes: Dynamic signaling networks : Decoding VEGF/YAP crosstalk in angiogenesis, NOTCH spatiotemporal patterning, and oscillations in HIF-1α during hypoxia Cancer mechanisms : Ion transport in glioblastoma invasion, metabolic adaptations in tumors, and therapeutic targeting of transcriptional networks Stem cell & developmental engineering : Brain organoid specification using WNT/SHH gradients, mechanobiology of stem cell differentiation, and CRISPR-engineered models Publication analysis reveals consistent emphasis on quantitative approaches to cell signaling (60% of recent work), cancer biophysics (30%), and neurodevelopmental engineering (10%), with frequent use of single-cell analysis, microfluidics, and mathematical modeling. Major scientific recognitions include: Burroughs Wellcome Fund Fellowship (1999-2001) American Asthma Foundation Early Excellence Award (2010) Elected Fellow, American Institute for Medical and Biological Engineering (2013) The Levchenko Lab at Yale's Systems Biology Institute hosts graduate students and postdocs pursuing projects at the interface of engineering, systems biology, and translational medicine. Active collaborations extend to neurosurgeons, oncologists, and stem cell biologists across Yale.

James Noonanمشاهده پروفایل

استاد

• Embryonic and Fetal Development
• Epigenomics
• Molecular Evolution
• +۷ مورد دیگر

James Noonan is the Albert E. Kent Professor of Genetics and Professor of Neuroscience at Yale University School of Medicine, where he also serves as co-Director of Graduate Studies in Genetics. His primary appointment is in the Department of Genetics, with secondary appointments in the Department of Ecology & Evolutionary Biology and Neuroscience. He maintains extensive affiliations across Yale, including the Yale Cancer Center, Yale Center for Genomic Health, Yale Stem Cell Center, Wu Tsai Institute, and Kavli Institute for Neuroscience. Dr. Noonan's research focuses on understanding human-specific gene regulation and its role in evolution and development. His lab pioneered the discovery that Human Accelerated Regions (HARs) encode transcriptional enhancers with human-specific activity in the developing embryo. The lab has developed innovative approaches including humanized mouse models to study how HARs alter developmental gene expression and drive the evolution of novel phenotypes. They also pioneered massively parallel screening approaches to characterize gene regulatory functions in human brain development and evolution. The lab's recent publications reveal significant insights into how uniquely human sequence changes affect enhancer activity, how HARs contribute to cortical development, and how autism risk genes like CHD8 regulate neurodevelopmental pathways. Their work demonstrates that HARs have clear biological functions in neurodevelopment and has identified specific regulatory innovations contributing to the emergence of the mammalian neocortex. Mallinckrodt Foundation Fellowship (2008) Professor Noonan has mentored at least 11 PhD students to completion, with his most recent student (Atreyo Pal) defending in 2025. His lab maintains multiple active grants from NIH, SFARI, NOMIS Foundation, and other major funding agencies. Students in the lab gain training in cutting-edge genomic techniques including CRISPR genome editing, single-cell genomics, and comparative epigenomics. The lab's interdisciplinary approach provides students with opportunities to work across multiple departments and research centers at Yale, with recent students winning prestigious awards like the Carolyn Slayman Prize in Genetics. The Noonan Lab (noonanlab.org) maintains an active presence in the scientific community, regularly sharing research updates and engaging with broader issues affecting biomedical research. Their work continues to advance our understanding of what makes us uniquely human at the molecular level.

• Computational Neuroscience
• Resilience Research
• Systems Biology
• +۳ مورد دیگر

Janina Hesse serves as Junior Professor at the University Medical Center of Johannes Gutenberg University Mainz and leads the Computational Resilience Research group at the Leibniz Institute for Resilience Research (LIR) in Mainz. Her interdisciplinary work bridges mathematical modeling, machine learning, and clinical medicine to investigate resilience mechanisms across biological scales. Her educational background includes: PhD in Computational Neurosciences/Theoretical Biology (2011-2017), Humboldt-University Berlin Diploma in Physics & Cognitive Sciences, École Normale Supérieure Paris (2007-2011) Master of Science in Theoretical Physics of Complex Systems, University Pierre-et-Marie-Curie Paris (2007-2011) Bachelor of Science in Physics, École Normale Supérieure Paris (2007-2011) Vordiplom in Mathematics, Goethe University Frankfurt (2005-2007) Her research centers on computational resilience dynamics , employing dynamical systems theory to model phase transitions in neuronal networks, circadian impacts on cancer therapy, and stress-response mechanisms. The group develops integrative frameworks combining machine learning with experimental data to identify resilience biomarkers and optimize treatment timing, particularly in oncology and neuroscience contexts. Publication trends (2014-2023) reveal a consistent focus on nonlinear dynamics in biological systems , with increasing clinical translation. Early work established theoretical foundations in neural criticality and bifurcation theory, while recent studies apply these principles to colorectal cancer chronotherapy and temperature-dependent neural encoding, demonstrating strong interdisciplinary collaboration with medical institutions. Key recognitions include: Portuguese Pneumology Society First Prize (2020) Berlin Neuroscience Forum Poster Prize (2012) Michael-Loulakis Study Achievement Award (2007) She mentors four doctoral students and a Master's candidate in her LIR research group, with funding primarily from the Boehringer Ingelheim Foundation. Her advisory scope extends to co-initiating ScientistsForFuture (2019) and serving as neuroscience specialist for Germany's Federal Agency for Civic Education. Current collaborations span MSH Hamburg, Charité Berlin, and Oldenburg's Helmholtz Institute. The Computational Resilience Research group operates through six core projects examining neuronal phase transitions, mouse behavioral resilience, cancer gene expression dynamics, and seasonal stress variations. This work integrates theoretical modeling with experimental validation through close partnerships with clinical and basic science teams at Johannes Gutenberg University Mainz, emphasizing translational applications for stress-related disorders.

• Neuroimaging
• Cognitive Aging
• Alzheimer's Disease
• +۵ مورد دیگر

Dr. Anne Maass is a Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Magdeburg, where she directs research focused on understanding the molecular underpinnings of normal and pathological cognitive aging using multimodal neuroimaging techniques. Her work integrates functional and structural MRI at 3T and 7T field strengths with PET imaging to study tau and amyloid-beta pathology in the aging brain. Dr. Maass's research interests center on how age-related pathologies accumulate in specific brain networks and affect cognitive function before significant neurodegeneration occurs. She investigates why some individuals develop pathology but remain cognitively healthy (resilience) and why others age successfully despite risk factors (resistance). Her work spans several key areas including tau and amyloid-beta pathology spread , cognitive reserve mechanisms , hippocampal vascularization patterns , and neuroinflammatory processes in Alzheimer's disease progression. Her extensive publication record demonstrates a consistent trajectory from basic mechanisms of protein accumulation to clinical applications. Recent work has increasingly focused on multimodal approaches that combine molecular imaging with functional and structural assessments to identify early biomarkers and protective factors against cognitive decline. Her research shows particular strength in translating findings from animal models to human applications through sophisticated imaging methodologies. Dr. Maass leads significant research initiatives including Project Z03 within the DFG-funded Collaborative Research Center CRC1436 "Neural Resources of Cognition" (2021-2024), which studies molecularly characterized aging cohorts including "SuperAgers," and Project B04 investigating hippocampal vascularization patterns. She serves as Principal Investigator in the DELCODE study and collaborates with the Prevent AD Cohort in Montreal. Her laboratory collaborates extensively with researchers across Germany and internationally, including Prof. Boecker's group at DZNE Bonn, Prof. Schott's group at DZNE Göttingen, Prof. Michael Heneka's group, and Prof. Sylvia Villeneuve's team in Montreal. The lab employs advanced methodologies including Vessel Distance Mapping (VDM) to assess vascularization as a continuous metric beyond binary classification, and develops innovative approaches to studying cognitive resilience through real-world navigation training using the "Explore"-app.

• Neurodegenerative Diseases
• Neuronal Excitability
• Synaptic Signal Processing
• +۴ مورد دیگر

Prof. Dr. Stefan Remy is a Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Magdeburg, Germany. His research investigates disease-related alterations in neuronal signal processing, with a focus on synaptic function, dendritic properties, and network dynamics in neurodegenerative conditions like Alzheimer's disease. He employs advanced techniques including in vivo electrophysiology, two-photon calcium imaging, STED microscopy, and computational modeling. Research Focuses: Altered neuronal excitability in Alzheimer's mouse models linking dendritic degeneration to hyperexcitability Subcortical modulation of memory circuits (locus coeruleus, medial septum) and movement-related hippocampal activity Dendritic encoding of spatial movement using biophysical modeling and synaptic mapping (ERC-funded SUBDECODE project) His lab explores therapeutic interventions for neuronal hyperexcitability and neuromodulatory control mechanisms in memory systems.