جست‌وجوی استاد و پژوهشگر

• Neuroscience
• Extracellular Matrix Biology
• Synaptic Plasticity
• +۵ مورد دیگر

Prof. Dr. Alexander Dityatev is a Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Magdeburg, Germany, where he leads research on the extracellular matrix (ECM) in brain function. His work establishes critical connections between ECM dynamics and neural processes including synaptic plasticity, learning, and memory formation. Dr. Dityatev's research focuses on: ECM regulation of voltage-dependent L-type Ca2+ channels, NMDA receptors, and Ca2+-dependent K+ channels ECM changes in aging brains, depression, dementia, and schizophrenia models Matrix metalloproteinases (ADAMTS4/5, MMP-9) and their regulation by dopaminergic/serotonergic systems Development of ECM-targeted therapies for neurodegenerative and psychiatric disorders His laboratory employs advanced techniques including in vivo 2-photon microscopy, AAV-based fluorescent probes, and virtual environment systems to investigate neural network dynamics and quadripartite synapses. Dr. Dityatev advocates for combined therapeutic approaches that integrate ECM targeting with cognitive training for advanced neurodegenerative conditions. His publication record demonstrates consistent contributions to understanding the dual role of ECM as both a promoter of structural/functional plasticity and a stabilizer of neural microcircuits - aspects critically important for mental health and neurological function. Dr. Dityatev's research has significant translational implications for treating Alzheimer's disease, frontotemporal dementia, tauopathies, vascular dementia, epilepsy, and depression through novel ECM-modulating strategies.

• Social Neuroscience
• Collective Emotion
• Neural Network Dynamics
• +۴ مورد دیگر

Thalia Wheatley is a Professor of Psychological and Brain Sciences and Director of the Center for Social Brain Sciences at Dartmouth College. She serves on the Santa Fe Institute's Science Board as an External Professor. Her research explores collective creation of ideas and emotions, mind coupling mechanisms, and their impact on neural and social network stability through methods like neuroimaging, natural language processing, and social network analysis. Director, Center for Social Brain Sciences External Professor, Santa Fe Institute Science Board Research Interests encompass Social Neuroscience , Collective Cognition , and Neural Network Dynamics . Current work examines: How minds couple through social interactions Neural mechanisms of social resonance Cross-cultural behavioral patterns Temporal dynamics in conversational synchronization White matter connectivity in social cognition Publications demonstrate multidisciplinary approaches connecting neuroscience, psychology, and network science, particularly focusing on social alignment, emotional perception, and interactive cognition. Scientific Contributions include: Advancing understanding of social brain networks Developing frameworks for interpersonal neural coupling Investigating rhythmic synchrony in social interactions Exploring emotion perception across cultures Studying social network dynamics through neuroimaging As Director of Graduate Studies, she shapes academic programs while maintaining an active research agenda in cognitive and social neuroscience.

Alexander Goettkerمشاهده پروفایل

پژوهشگر

• Saccadic and pursuit eye movements
• Integration of retinal and extra-retinal information
• Control of arm and eye movements

Dr. Alexander Goettker is a postdoctoral researcher at Justus Liebig University Giessen's Department of Psychology and Sports Science, specializing in oculomotor behavior and sensorimotor integration. He contributes to the Collaborative Research Center "Cardinal Mechanisms of Perception" and the International Research Training Group "The Brain in Action". Ph.D. in Psychology (2020) with thesis on saccadic-pursuit eye movement interactions M.Sc. in Psychology (2016), including predoc program in visual neuroscience B.Sc. in Psychology (2014) Key research areas: Saccadic and pursuit eye movement coordination Integration of retinal and extra-retinal signals Eye-hand movement interactions Naturalistic visual processing in sports contexts Publication trends show focus on sensorimotor integration, visual processing during eye movements, and the interplay between perceptual judgments and motor control. His work spans journals like Current Biology , PNAS , and Scientific Reports .

Nick Virgilioمشاهده پروفایل

استاد

• Thermodynamics
• Multiphase systems
• Surfaces, interfaces and thin layers
• +۲ مورد دیگر

Nick Virgilio is a Full Professor in the Department of Chemical Engineering at Polytechnique Montréal . His research focuses on soft matter interfaces, polymer blends, and advanced hydrogel systems for biomedical and catalytic applications. Director, Research Laboratory on Surfaces, Interfaces and Soft Matter Member, Research Center for High-Performance Polymer and Composite Systems (CREPEC) Research interests include interfacial phenomena in multiphase systems, self-assembly of soft materials, nanoparticle-hydrogel composites, Pickering emulsions, and polymer microstructure engineering. Scientific awards include the 2010 Canadian Macromolecular Science Thesis Prize and the 2004 Polytechnique Montréal Master's Thesis Award. Recent publications highlight his work in macroporous hydrogels for cancer cell capture, nanoparticle synthesis in soft matrices, and interfacial control of polymer blends. His studies frequently appear in high-impact journals like ACS Applied Materials & Interfaces , Green Chemistry , and Macromolecules . Students under his supervision have explored topics from biofilm mechanics to lunar environment polymer systems across 4 PhD and 6 Master’s theses completed or ongoing.

• Neuroscience
• Cognitive Science
• Computational Neuroscience
• +۵ مورد دیگر

Jonathan D. Cohen is a Robert Bendheim and Lynn Bendheim Thoman Professor in Neuroscience and Professor of Psychology and Neuroscience at Princeton University. He leads the Natural and Artificial Minds Initiative as Associate Director, bridging computational neuroscience, cognitive science, and machine learning. His research explores the interplay between cognition, neural dynamics, and AI systems. Research interests include Computational models of cognitive control and decision-making Cerebellar-cortical interactions in neurodevelopment and aging Neural-symbolic integration in AI architectures Quantum computing applications for cognitive modeling Medical applications of machine learning Recent publications demonstrate expertise in artificial neural networks, autism neurobiology, semantic cognition, and interdisciplinary approaches to modeling human and machine intelligence. His work spans theoretical neuroscience, AI interpretability, and translational medicine applications. Scientific contributions include Advancing hybrid mamba-transformer architectures for efficient reasoning Elucidating cerebellar roles in cognitive aging and disease Innovations in quantum models of cognition Developing frameworks for causal analysis in neural networks Exploring neurochemical diversity in psychedelic-producing fungi

Steven Leeمشاهده پروفایل

استاد

• Biophysical Chemistry
• Single-Molecule Fluorescence Spectroscopy
• Super-Resolution Imaging
• +۵ مورد دیگر

Professor Steven Lee is a leading figure in biophysical chemistry at the University of Cambridge , where he leads the TheLeeLab in the Yusuf Hamied Department of Chemistry . His research focuses on developing advanced single-molecule fluorescence and multidimensional super-resolution imaging techniques to probe fundamental biological processes at unprecedented spatial precision. Developed novel super-resolution microscopy approaches for 2D/3D visualization of T-cell membrane proteins and histone assembly in fission yeast nuclei Pioneer of 15-20nm resolution imaging strategies through fluorophore kinetics and image reconstruction algorithms Recipient of the 2017 Marlow Prize in Physical Chemistry , Lee's lab produces cutting-edge tools with applications in immunology , neurodegeneration , and cellular biophysics . His team maintains active collaborations with Prof Klenerman (FRS MedSci) and Prof Moerner (Nobel Chemistry 2014). Research Highlights : Molecular origins of immunity through T-cell membrane protein interactions 3D histone dynamics during DNA replication/repair Amyloid aggregate quantification for neurodegenerative disease diagnosis Volumetric imaging innovations via vLUME virtual reality platform

• Precision Livestock Farming
• Animal Monitoring Systems
• Machine Learning Applications in Agriculture
• +۵ مورد دیگر

Tomas Norton is a Senior Lecturer at the Faculty of Bioscience Engineering, Department of Biosystems at KU Leuven. He is actively affiliated with multiple research units including the Division of Bio-Environmental Control, the KU Leuven Brain Institute (LBI), and the KU Leuven Institute for Integration of Micro- and Nano-scale Technologies (LIMNI). His work is centered at the Animal and Human (A2H) research unit located at Castle Park Arenberg. Dr. Norton's research focuses on precision livestock farming with particular expertise in computer vision, machine learning, and sensor technologies applied to animal monitoring. His current projects span sustainable agriculture, animal vocalization analysis, and bio-response monitoring systems across multiple species including poultry, pigs, and buffalo. He serves as promotor on numerous research initiatives funded through 2028-2029 that address critical challenges in sustainable food production while improving animal welfare. His recent publications demonstrate a strong trend toward AI-driven solutions for animal monitoring, with particular emphasis on behavior recognition, health assessment through sound analysis, and robotic management systems. These works appear primarily in agricultural technology journals with a focus on practical implementation of advanced computational methods in farming contexts. As an academic leader, Dr. Norton serves on the Faculty Council of Bioscience Engineering, the Doctoral Committee for Bioscience Engineering, and the Departmental Council for Biosystems. He teaches courses including Modelling of Biosystems, Bioresponse Measurements and Process Control, and Sustainable Precision Livestock Farming, integrating his research expertise directly into his educational practice. His laboratory work within the A2H unit represents a multidisciplinary approach that bridges engineering, computer science, and animal science to develop practical technological solutions for modern agricultural challenges, with particular emphasis on sustainability and welfare improvements in livestock production systems.

Adriana B Ferreiraمشاهده پروفایل

دانشیار

• Alzheimer's Disease
• Cell Biology
• Cytoskeleton
• +۷ مورد دیگر

Adriana B Ferreira, MD, PhD is an Associate Professor in the Department of Cell and Developmental Biology at the Feinberg School of Medicine, Northwestern University. She leads the Adriana Ferreira Lab which focuses on understanding the mechanisms underlying neurite degeneration and synapse loss in neurodegenerative diseases, with particular emphasis on Alzheimer's disease. Dr. Ferreira is also affiliated with the Mesulam Center for Cognitive Neurology and Alzheimer's Disease and the Northwestern University Institute of Neuroscience (NUIN). Dr. Ferreira received her medical degree (MD) from the National University of Cordoba, Argentina in 1981, followed by a PhD in Neuroscience from the same institution in 1985. Her extensive postdoctoral training includes: Neuroscience at the School of Medicine, National University of Cordoba (1985) Neuroscience at the Insitituo de Investigacion Medica (1988) Biology at the University of Virginia (1991) Cell Biology at the Marine Biological Laboratory (1992) Neuroscience at Brigham and Women's Hospital Harvard Medical School (1993) Dr. Ferreira's research primarily investigates the relationship between beta-amyloid deposition and the progressive formation of dystrophic neurites and cell death in hippocampal neurons. Her current work assesses the role of tau in neuronal degeneration mechanisms, using culture and animal models of Alzheimer's disease along with various cell and molecular biology techniques. Her work has significant implications for understanding and potentially treating neurodegenerative disorders characterized by neurite degeneration and synapse loss. Analysis of Dr. Ferreira's recent publications reveals a consistent focus on tau protein fragmentation and its role in neurodegeneration. Her research has evolved from studying basic mechanisms of neurite outgrowth and cytoskeletal organization to investigating specific tau fragments (particularly tau45-230) and their contribution to Alzheimer's disease pathology. More recently, her work has expanded to examine RNA-mediated mechanisms of neurotoxicity, including Death Induced by Survival gene Elimination (DISE) pathways in Alzheimer's disease and aging. Dr. Ferreira has received numerous awards and honors throughout her career: Young Investigator Award, National Alliance for Research in Schizophrenia and Depression (2001) Young Investigator Award, National Alliance for Research in Schizophrenia and Depression (1999) Young Women Investigator, Signa Kappa Foundation (1998) International Fellowship, CONICET (1988) National Fellowship, CONICET (1983) Special Mention (Top of the Class), National University of Cordoba. School of Medicine (1982) Dr. Ferreira serves as a Review Editor for Frontiers in Neuroscience and has been an active member of the Argentinian Research Council (Biology and Medicine Areas) since 1996. She has also contributed to scientific review processes as a reviewer for the Ministry of Health and Consumer's Affairs in Spain (2006-2007). Her long-standing membership in professional societies, including the Society for Neuroscience since 1989, demonstrates her commitment to advancing the field. The Ferreira Lab operates within the Department of Cell and Developmental Biology at Northwestern's Feinberg School of Medicine, with strong connections to the Mesulam Center for Cognitive Neurology and Alzheimer's Disease. The lab employs a range of cellular and molecular approaches to investigate neurodegenerative mechanisms, with particular expertise in neuronal cell culture models and analysis of cytoskeletal changes in neurodegeneration.

• Biomedical Optics
• Optical Coherence Tomography (OCT)
• Quantitative Phase Microscopy
• +۵ مورد دیگر

Adam Wax is a Professor of Biomedical Engineering and Professor of Physics at Duke University , where he leads cutting-edge research in optical spectroscopy for cancer detection , novel microscopy techniques , and low-coherence interferometry . As a member of both the Duke Cancer Institute Faculty Network and Duke Institute for Brain Sciences , he bridges engineering and biomedical applications. Education: B.S. from Rensselaer Polytechnic Institute (1993), M.A. (1996) and Ph.D. (1999) from Duke University Honors: Fellow, American Institute for Medical and Biological Engineering (2014); Fellow, SPIE (2010); Fellow, OSA (2010); NSF CAREER Award (2004) His research focuses on biomedical optics , particularly optical coherence tomography (OCT) and quantitative phase microscopy , with applications in early cancer detection , subcellular imaging , and clinical diagnostics . Recent work emphasizes low-cost, portable OCT systems for point-of-care applications and multimodal imaging combining spectroscopy with phase analysis. Scientific awards include: Fellow, American Institute for Medical and Biological Engineering (2014) Fellow, International Society for Optics and Photonics (2010) Fellow, Optical Society of America (2010) National Science Foundation CAREER Award (2004)

• Epidemiology
• Cardiometabolic Diseases
• Nutritional Omics
• +۳ مورد دیگر

Dr. Frank B. Hu is Chair of the Department of Nutrition, Fredrick J. Stare Professor of Nutrition and Epidemiology at Harvard T.H. Chan School of Public Health, and Professor of Medicine at Harvard Medical School and Brigham and Women’s Hospital. His research focuses on diet/lifestyle, metabolic, and genetic determinants of obesity, type 2 diabetes, and cardiovascular disease (CVD). Education: MD in Preventive Medicine, Tongji Medical College, China (1988) MPH in Epidemiology, University of Illinois at Chicago (1993) PhD in Epidemiology, University of Illinois at Chicago (1996) Postdoctoral Fellowship in Nutritional Epidemiology, Harvard T.H. Chan School of Public Health (1999) Research Interests: Dr. Hu’s work spans epidemiology and prevention of cardiometabolic diseases through diet and lifestyle, gene-environment interactions, nutritional omics, precision nutrition, and nutrition transitions in low- and middle-income countries. His group has conducted detailed analyses of dietary and lifestyle factors (e.g., sugar-sweetened beverages, coffee, red meat, fatty acids, dietary patterns) in relation to diabetes and CVD risk, using large cohort studies like the Nurses’ Health Study and Health Professionals Follow-up Study. They integrate omics technologies to identify novel biomarkers and gene-environment interactions, advancing precision nutrition. Collaborations include the PREDIMED investigators examining Mediterranean diet interventions. Scientific Awards: Elected member, National Academy of Medicine (2015) Kelly West Award in Diabetes Epidemiology (2010) American Diabetes Association Established Investigator Award, American Heart Association (2002) AHA Top Ten Research Advances (2001, 1997) Ancel Keys Memorial Lecturer (2018) Boyd Orr Trust Fund Lecturer (2020) Scientific Award Keynote Speaker (2022) Charles A. King Trust Research Fellowship (1998) Elizabeth Barrett-Connor Award Finalist (1998) Grants and Funding: Dr. Hu serves as Principal Investigator for NIH grants including Dietary Biomarkers Development Center at Harvard University (U2CDK129670) and Lifestyle Interventions, metabolites, microbiome, and diabetes risk (R01DK127601). He is a Co-Investigator in studies on sugar-sweetened beverages and obesity (R01DK125803) and infant epigenetics (R01AI148338).

Teresa Treatمشاهده پروفایل

استاد

• Clinical Psychology
• Cognitive Science
• Social Psychology
• +۶ مورد دیگر

Teresa Treat is a Professor in the Department of Psychological and Brain Sciences at the University of Iowa. Her research integrates clinical psychology with cognitive science, focusing on sexual aggression prevention, social perception, disordered eating, and psychometrics. Education: PhD from Indiana University (2000) Her work examines cognitive mechanisms underlying sexual aggression risk, including attentional biases, memory deficits, and social norm misperceptions. She has developed computerized prevention programs combining cognitive training with motivational interviewing to address sexual aggression, risky sex, and heavy drinking among college men. Recent publications analyze sexual perception accuracy, cognitive processing of affective cues, and health behavior misjudgments. Her lab employs signal detection theory, eye-tracking, and computational modeling to study these processes. Projects include NIAAA-funded studies on alcohol’s impact on visual attention and NIH-funded development of protective behavioral strategies. Collaborators include Drs. Corbin (ASU), Viken (IU), and McFall (IU).

• Human Reinforcement Learning
• Neuroeconomics
• Decision-Making Under Uncertainty
• +۳ مورد دیگر

Stefano Palminteri is a researcher at the École Normale Supérieure in Paris, leading the Human Reinforcement Learning team at the Cognitive Neuroscience Laboratory (LNC2) since 2017. He holds a PhD in Cognitive Neuroscience from Université Pierre et Marie Curie (2012) and completed postdoctoral work at LNC2, University of Trento, and University College London. Education: Master in Pharmaceutical Biotechnology (University of Bologna, 2006); Master in Cognitive and Behavioral Neuroscience (Université Pierre et Marie Curie, 2007); PhD in Cognitive Neuroscience (UPMC, 2012). His research focuses on computational and neurobiological mechanisms of reinforcement learning, decision-making under uncertainty, and behavioral biases. He investigates how contextual factors (e.g., social influence, neurochemical states) shape learning processes in healthy and clinical populations (e.g., addiction, depression, Tourette syndrome). Recent work explores value normalization, metacognitive biases, and cross-cultural comparisons of reinforcement learning. Key trends in his publications include (1) computational modeling of reward/punishment sensitivity in psychiatric conditions, (2) neuroeconomic frameworks for decision-making under risk and ambiguity, (3) multi-agent reinforcement learning in financial market simulations, and (4) cross-domain comparisons of description vs. experience-based learning. He employs functional neuroimaging, pharmacological interventions, and behavioral experiments to uncover how brain circuits (e.g., striatum, prefrontal cortex) encode value signals. His lab offers internships in epistemic biases and reinforcement learning.

• Applied Statistics
• Biostatistics
• Time Series Analysis
• +۳ مورد دیگر

Dr. Carolina Euan is a Lecturer in Statistics at the School of Mathematical Sciences, Lancaster University, with affiliations to the Data Science Institute and STOR-i Centre for Doctoral Training. Her research focuses on time series analysis, spatio-temporal modeling, and their applications in environmental data science and brain data analysis. School of Mathematical Sciences Data Science Institute STOR-i Centre for Doctoral Training Biostatistics Research Group Centre of Excellence in Environmental Data Science Her work spans multiple disciplines: Environmental Data Science: Marine heatwaves, solar irradiance modeling, particle number size distribution Brain Data Analysis: Neural connectivity, brain signal clustering, coherence-based inference Statistical Methodology: Spatio-temporal extremes, spectral estimation, functional data analysis Recent publications demonstrate expertise in: 2025: Neural connectivity modeling, functional data analysis, particle distribution 2024: Virtual collaboration frameworks, precipitation regime modeling, spectral estimation 2023: Brain signal clustering, source apportionment, directional wave spectra Supervision includes: Kajal Dodhia: STOR-i (extreme sea temperatures) Jordan Hood: Bayesian modeling (COVID prevalence) Carla Pinkney: STOR-i

• Progranulin research
• Neuroprotection
• Tissue repair
• +۴ مورد دیگر

Andrew Bateman, PhD is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) at the Glen site, where he leads research in the Metabolic Disorders and Complications Program within the Centre for Translational Biology. He holds a professorship in the Department of Medicine, Faculty of Medicine and Health Sciences at McGill University, with specific affiliation to the Division of Endocrinology at the McGill University Health Centre. Dr. Bateman's research primarily focuses on progranulin, a protein that plays crucial roles in cell communication, neuroprotection, tissue repair, and cancer progression. His work has demonstrated that progranulin instructs nearby cells to divide and move, inhibits cell death caused by challenges such as starvation or chemotherapeutic drugs, and is essential for keeping nerve cells alive. Notably, his research has shown that losing half of the brain's progranulin levels through mutation causes frontotemporal dementia, a devastating degenerative brain disease. His laboratory also investigates how progranulin is overexpressed in many cancers, rendering cancer cells more aggressive, and how blocking progranulin may serve as a route to cancer therapy. Additionally, his work explores progranulin's role in reducing inflammation and promoting wound repair, including angiogenesis, which has potential applications for people suffering from chronic wounds. Analysis of Dr. Bateman's publication record reveals a consistent focus on progranulin across multiple disciplines including neuroscience, molecular biology, oncology, and vascular biology. His research spans from fundamental protein structure and evolution to clinical applications in neurodegenerative diseases and cancer. A notable trend in his work is the exploration of progranulin's dual role in both neuroprotection and cancer progression, highlighting the complex nature of this regulatory protein. His research has evolved from early work on corticostatic peptides and the immune-hypothalamic-pituitary-adrenal axis to his current specialized focus on progranulin's multifaceted biological functions. Dr. Bateman has made significant contributions to understanding the role of progranulin in various physiological and pathological processes. His work has implications for developing therapeutic approaches for neurodegenerative diseases, cancer treatment, and wound healing. He has established himself as a leading researcher in the field of progranulin biology, with numerous publications in high-impact journals spanning several decades of research.

Brian D. Atheyمشاهده پروفایل

استاد

• Bioinformatics
• Pharmacogenomics
• Machine Learning
• +۸ مورد دیگر

Brian D. Athey is a Professor of Computational Medicine and Bioinformatics and Psychiatry at the University of Michigan Medical School. He serves as Michael Savageau Collegiate Professor & Chair of his department, leading interdisciplinary research in pharmacogenomics, epigenomics, and machine learning applications. His work bridges biomedical informatics with clinical insights in mental health, neurology, and drug response mechanisms. Ph.D. , Biophysics, University of Michigan (1990) B.S. , University of Michigan-Dearborn (1982) Dr. Athey’s research focuses on the pharmacoepigenome, high-throughput 4D imaging, and AI-driven pharmacogenomic pipelines. His lab develops tools for patient-specific drug response prediction, chromatin structure analysis, and next-generation sequencing assays. Collaborations span institutions like Assurex Health, tranSMART Foundation, and Johns Hopkins Medical School. His publications highlight innovations in pharmacogenomics, including AI integration for variant identification, 4D nucleome modeling, and adverse event ontologies. Recent projects address bipolar disorder treatment personalization, hypertension management, and generative AI workflows to enhance academic productivity. Scientific Awards : NIH Postdoctoral Fellowship 1990-1991 NIH Postdoctoral Fellowship 1991-1993 Advisees & Collaborations : His lab mentors PhD and Masters students in bioinformatics and biostatistics, with graduates like Ari Allyn-Feuer (GSK AI Products Director) and Alex Kalinin (Broad Institute). Collaborations include NIH-funded initiatives (O’Brien Kidney Core Center, VIOLIN 2.0) and industry partnerships.