جست‌وجوی استاد و پژوهشگر

Narly Golestaniمشاهده پروفایل

دانشیار

• Brain and Language Processing
• Auditory Cortex Anatomy
• Multilingualism and Language Control
• +۷ مورد دیگر

Narly Golestani is Associate Professor at the Vienna Cognitive Science Hub and at the Department of Behavioral and Cognitive Biology at the Faculty of Life Sciences, University of Vienna. She simultaneously holds an Associate Professor position at the University of Geneva's Department of Psychology, where she has been affiliated since April 2018. She heads the Brain and Language Lab, which operates across both institutions. Dr. Golestani earned her PhD in Clinical Psychology from McGill University (Montreal, Canada), followed by post-doctoral work at INSERM (Orsay, France) and the Institute for Cognitive Neuroscience at UCL (London, UK). Her research focuses on understanding the neural mechanisms underlying language processing across multiple levels, from auditory and phonetic processing to multilingualism and language control. Her methodological approach integrates: Functional and structural neuroimaging Computational modeling of brain function Computational morphometry Machine learning techniques Advanced statistical procedures Neuropsychological assessments Experimental psycholinguistics Psychophysics methods Dr. Golestani's primary research themes include: Auditory cortex anatomy and its relationships with auditory, language, and music processing Multilingualism and language control mechanisms in the brain Language aptitude and individual differences in language learning Computational modeling approaches for understanding language processing at different levels Her significant research initiatives include the Evolving Language NCCR-funded work package on 'Aptitude' and the 'ProsodyToMeaning' project. Her work contributes to Sustainable Development Goals related to quality education and reduced inequalities. Dr. Golestani has presented her research internationally at institutions including the Basque Center on Cognition, Brain and Language, St Jude Research Hospital, and the University of Reading. Dr. Golestani teaches advanced seminars on Clinical Psychology, Speech and Language Pathology, Bilingualism, and The Neuroscience of Language at both undergraduate and graduate levels. Her teaching emphasizes the intersection of cognitive science, neuroscience, and language processing, with courses including 'Speech and Language Pathology,' 'Bilingualism: Neural bases and Socio-cognitive aspects,' and 'The Neuroscience of Language.'

Olga Therese Ousdalمشاهده پروفایل

دانشیار

• Neuroscience
• Psychiatry
• Neuroimaging
• +۶ مورد دیگر

Olga Therese Ousdal is an Associate Professor at the Department of Biomedicine , University of Bergen , and a consultant neuroradiologist at Haukeland University Hospital . Her research bridges neuroscience and psychiatry , focusing on the neurobiological mechanisms underlying major depression , anxiety disorders , and trauma , particularly in youth survivors of the 2011 Utøya terror attack. Research Interests : Neuroimaging, brain plasticity, ECT/TMS treatment mechanisms, trauma, multiomics, and cognitive control. Awards : Marie Spångberg Award (2020), Falch Junior Award (2022), Young Scientist Award (2022). Leadership : Neuroimaging work packages at the Center for Research on Neurostimulation Treatments and Bergen Center for Brain Plasticity . Publications (2025-2012) reveal trends in ECT-induced brain changes , amygdala-prefrontal circuits , and trauma's impact on brain development . Her work spans obsessive-compulsive disorder , depression , and genetic-neural interactions . Teaching : Previously instructed MED4 - Human Physiology and Biological Psychology (PROPSY303) . Supervises master's and PhD students in neuroimaging and mental health research.

Sarah Heilbronnerمشاهده پروفایل

دانشیار

• Connectomics
• Neuroanatomy
• Primate Brain Imaging
• +۳ مورد دیگر

Sarah Heilbronner serves as Associate Professor of Neurosurgery at Baylor College of Medicine and Adjunct Professor of Electrical and Computer Engineering at Rice University. Her research program centers on decoding primate brain connectivity to advance understanding of neural circuitry and develop neuromodulation therapies for neurological disorders. Her academic foundation includes a Psychology undergraduate degree from Harvard University and a Neurobiology PhD from Duke University under Dr. Michael Platt, followed by neuroanatomy training with Dr. Suzanne Haber at the University of Rochester. She established her independent laboratory at the University of Minnesota in 2017 before relocating to Baylor College of Medicine in March 2023. Dr. Heilbronner's research investigates the structural and functional organization of primate brain networks using multimodal approaches including tract-tracing, diffusion MRI, and PS-OCT imaging. Her lab specifically targets mesoscale connectomics to bridge microscopic neuronal properties with macroscopic brain systems, with applications in psychiatric and neurological disorder treatment. Key focus areas include orbitofrontal cortex subdivisions, posterior cingulate circuitry, and translational mapping of cross-species neural networks. Analysis of her recent publications reveals a cohesive trajectory in primate connectomics methodology development, with increasing emphasis on clinical translation. Her work integrates ultra-high-field imaging (10.5T MRI), chemogenetic circuit manipulation (DREADDs-fMRI), and computational modeling to create comprehensive brain wiring diagrams. Significant collaborative efforts address conservation applications (oxytocin in felids) and surgical neuromodulation targets through population-averaged tractography. Dr. Heilbronner actively mentors trainees across career stages, having guided multiple PhD graduates including Adriana Cushnie (addiction neuroscience), Jessica Burkhart (lion behavior), and Zhe (Maya) Wang (orbitofrontal cortex). Her lab participates in major initiatives including the BRAIN CONNECTS consortium (UM1 grant) and the Center for Mesoscale Connectomics, with collaborations spanning 20+ institutions and clinical departments. The Heilbronner Lab operates from the Bioscience Research Collaborative at Baylor College of Medicine, maintaining strong ties with Rice University's engineering programs. The team employs specialized techniques like PS-OCT and ultra-high-field MRI while contributing to large-scale projects such as the BRAIN Initiative's circuit-mapping goals. Current efforts focus on translating mesoscale connectivity data into clinical applications for brain disorders through partnerships with neurosurgeons and psychiatrists.

Noelle Dwyerمشاهده پروفایل

دانشیار

• Neuroscience
• Cell Biology
• Developmental Biology
• +۳ مورد دیگر

Noelle Dwyer is an Associate Professor in the Department of Cell Biology at the University of Virginia School of Medicine , focusing on neural development and genetic mechanisms underlying brain structure. BA in Biochemistry from Rice University PhD in Neuroscience from University of California, San Francisco Postdoctoral training in neurodevelopment at The Salk Institute and neurogenetics at Beth Israel Hospital, Boston Her research investigates: Neural Stem Cell Division : Regulation of abscission timing and midbody remnants in cortical development Axon Guidance : Cytoskeletal dynamics in neuronal connectivity Genetic Links to Disease : How abscission defects cause microcephaly and relate to cancer biology Publications highlight her work on kinesin proteins (KIF20B/Kif20b), abscission regulation, and p53-dependent apoptosis in neural development, spanning disciplines like neuroscience, genetics, and cell biology. Her lab employs mouse genetics, cell biology, and genomic approaches to study: Cytokinetic defects in cortical stem cells Microtubule cross-linking proteins in neuron morphogenesis Evolutionary conservation of abscission mechanisms

• Medical Imaging
• Neuroscience
• Cognitive Psychology
• +۳ مورد دیگر

Gordon Waiter is a Senior Lecturer at the University of Aberdeen , affiliated with the School of Medicine, Medical Sciences and Nutrition and the Department of Radiology (now part of the Aberdeen Biomedical Imaging Centre). He holds positions as Director of the Aberdeen Biomedical Imaging Centre and Associate Director of the Aberdeen Centre for Health Data Science , alongside Honorary Clinical Scientist and MR Safety Expert at NHS Grampian. He is a member of the North of Scotland Research Ethics Committee . PhD in Medical Physics (University of Aberdeen, 1991–1996) BSc (Hons) in Physical Sciences (Robert Gordon University, 1989) Dr. Waiter’s research spans brain plasticity , cognition , and age-related cognitive decline , with a focus on inflammation and immunosenescence in brain aging. His work integrates computational neuroimaging , biochemistry , and statistical modeling to investigate disorders like Alzheimer’s disease , Long COVID , and avoidant restrictive food intake disorder (ARFID) . Recent publications emphasize MRI method development (field-cycling, fMRI, FDG-PET), machine learning applications in neuroimaging, and cross-cohort studies on brain structure-function relationships. His 2025 articles explore topics such as brain recovery in Takotsubo Syndrome , cerebellar roles in appetite dysregulation , and neuroinflammatory links to fatigue in rheumatoid arthritis . Scientific honors include: Fellow of the Institute of Physics (FInstP) Chartered Physicist (CPhys) Chartered Scientist (CSci) Fellow of the Institute of Physics and Engineering in Medicine (FIPEM) Aberdeen Lead for SINAPSE (Scottish Imaging Network: A Platform for Scientific Excellence) Dr. Waiter co-ordinates the MSc Medical Imaging program and teaches fMRI theory , image analysis , and SPM (Statistical Parametric Mapping) at the University of Aberdeen. He leads research teams in the Aberdeen Biomedical Imaging Centre , focusing on neuroimaging protocol development and multisystem disorder analysis .

Yue Wangمشاهده پروفایل

استاد

• Machine learning
• Pattern recognition
• Signal and image processing
• +۵ مورد دیگر

Yue Wang serves as the Grant A. Dove Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he leads pioneering research at the intersection of computational theory and biomedical applications. His work focuses on developing advanced signal processing and machine learning frameworks for genomic analytics, tissue characterization, and medical imaging, driving innovations in precision medicine and diagnostic methodologies. His academic foundation includes: PhD in Electrical Engineering from the University of Maryland (1995) MS in Electrical Engineering from Shanghai Jiaotong University (1987) BS in Electrical Engineering from Shanghai Jiaotong University (1984) Wang's research program centers on pattern recognition, stochastic signal systems, and image processing with deep applications in computational bioinformatics and systems biology. He develops novel algorithms for analyzing complex biological data—from single-cell genomics to radiological images—enabling discoveries in disease mechanisms and therapeutic targeting. His methodologies bridge computational rigor with clinical relevance, particularly in cancer and neurological disorders. Analysis of his recent publications (2022-2025) reveals three dominant trends: 1) Advancement of differential dependency networks for detecting biological network rewiring in disease states; 2) Development of unsupervised deconvolution techniques for cell-type resolution in bulk tissues; and 3) Integration of radiomics with genomics for tumor characterization. These efforts increasingly leverage deep learning and single-cell technologies to address heterogeneity in biological systems. His scientific recognition includes: IEEE Fellow (2016) for contributions to genomic signal analytics and image-based tissue characterization While specific grant details are not provided, Wang's extensive open-source software contributions—including CAM for cell deconvolution, DDN for network analysis, and KDDN for dependency networks—demonstrate sustained research leadership. His mentorship likely involves graduate students in computational biology projects, though formal advisee lists are not documented in available materials. No laboratory or team structure is explicitly described, but his computational focus suggests collaboration with biomedical researchers across Virginia Tech's campus and medical institutions to translate algorithms into clinical tools.

Sara Blaineمشاهده پروفایل

دانشیار

• Neuroscience
• Psychology
• Substance Use Disorders
• +۴ مورد دیگر

Dr. Sara Blaine is an Associate Professor in the Department of Psychological Sciences at Auburn University's College of Liberal Arts. Her research focuses on the neurobiological and psychological mechanisms underlying alcohol use disorders, including the interplay of genetics, neural networks, and stress responses. She joined Auburn in 2019 after earning dual PhDs in Psychology and Neuroscience from the University of Colorado at Boulder, alongside an MS from the University of New Mexico and a BA from Cornell University. Education: PhD, University of Colorado at Boulder (Psychology) PhD, University of Colorado at Boulder (Neuroscience) MS, University of New Mexico BA, Cornell University Her work examines how genes, neural circuits, and stress influence addictive behaviors, with a focus on binge drinking and cannabis use. Key themes include neuroendocrine tolerance to alcohol cues, stress modulation of drug craving, and neuroimaging-based biomarkers for addiction severity. Recent studies highlight the role of inflammatory markers like IL-6 and the impact of co-use of alcohol and cannabis on brain function. Dr. Blaine’s 2023 publications emphasize translational research, linking physiological and neural responses to clinical outcomes. Earlier work (2020–2010) explored genetic influences (e.g., DRD2, CRHR1 genes), brain structure anomalies in addiction (ENIGMA Consortium studies), and pharmacological interventions like naltrexone. While no specific awards are listed, her 2022 inclusion in Auburn’s Faculty Award winners signifies recognition of her scholarly contributions. She teaches courses on Behavioral Neuroscience, Abnormal Psychology, and Introductory Psychology.

• Neuroscience
• Molecular Neuroscience
• Alzheimer’s Disease
• +۵ مورد دیگر

Prof. Sarah King is a Professor of Neuroscience (Psychology) at the University of Sussex’s School of Psychology, affiliated with Sussex Neuroscience. She holds a BSc in Biology from the University of Bristol, followed by an MSc in Molecular Genetics and PhD in Neuroscience from Sussex. After a 7-year postdoc at Yale University’s Molecular Psychiatry Department, she returned to Sussex as a lecturer and was promoted to Reader in 2014. Her research focuses on molecular mechanisms of Alzheimer’s Disease (APOE4’s role), GABAA receptor modulation in addiction, and neurovascular dynamics. She has secured grants from the MRC, Alzheimer’s Society, and EU, and serves on committees like the ARUK South Coast Network. Awards include the 2023 University of Sussex Public Engagement Award for the Sussex Brain Bus outreach initiative. Education: BSc Biology, University of Bristol MSc Molecular Genetics, University of Sussex PhD Neuroscience, University of Sussex Research Interests: Neurobiology of APOE4 in Alzheimer’s pathogenesis GABAA receptor regulation in drug addiction circuits Neurovascular coupling in awake mice models Early-life adversity’s impact on addiction vulnerability Grant Highlights (2010–2023): MRC-funded studies on GABAA receptor modulators and hippocampal activity Alzheimer’s Society funding for APOE TR mouse models EU grants exploring cultural/biological binge-drinking factors Awards & Engagement: Recipient of Research Impact through Public Engagement Award (2023) Founder of the Sussex Brain Bus community outreach program Organized public events like the British Neuroscience Association Festival

Charlotte Raeمشاهده پروفایل

دانشیار

• Neuroscience
• Environmental Sustainability
• Occupational Wellbeing
• +۳ مورد دیگر

Dr. Charlotte Rae is an Associate Professor in Psychology at the University of Sussex's School of Psychology, specializing in occupational neuroscience and environmental sustainability in research. She holds the Orcid identifier 0000-0002-4503-4971 and has led initiatives like the Sussex 4 Day Week, which investigates the impact of reduced work hours on wellbeing and performance. Her research integrates MRI, physiology, and psychology to explore how work patterns and environmental practices influence mental and physical health. Education: BA Experimental Psychology, University of Oxford (2005-2008) MSc Neuroscience, University of Oxford (2008-2009) PhD in fMRI, University of Cambridge (2010-2013) Research focuses on three pillars: 4-Day Workweek Impact: Evaluates cognitive, neural, and physical effects of reduced working hours through employer collaborations. Environmental Sustainability: Develops low-carbon neuroimaging protocols and leads initiatives like OHBM's Sustainability SIG. Occupational Wellbeing: Uses UK Biobank data to link work conditions (e.g., hours) to health via neuroimaging and biomarkers. Grants include a UKRI Future Leaders Fellowship and MRC funding for sustainable neuroimaging practices. She chairs the Organization for Human Brain Mapping's Sustainability Group and serves as the School's Green Officer. Her work has been featured in media like Good Morning Britain and podcasts on workplace innovation. Awards: UKRI Future Leaders Fellowship (2024) Labs/Teams: Leads the ABC Lab at Sussex, advancing interdisciplinary research on brain-body interactions and sustainable science practices.

Daniel A Gorelickمشاهده پروفایل

دانشیار

• Cell signaling
• Environmental influence on organ formation & function
• Zebrafish genetics

Daniel A. Gorelick, Ph.D., is an Associate Professor at Baylor College of Medicine in the Department of Molecular & Cellular Biology. His research utilizes genetic tools in zebrafish to study how endogenous and environmental hormones influence the development and function of organs including the heart, brain, and gonad. Education: B.A. from University of Pennsylvania Ph.D. from Johns Hopkins University School of Medicine Postdoctoral Fellowships: AAAS Science & Technology Policy Fellowship (US Department of State) and Developmental Biology, Endocrinology (Carnegie Institution for Science) Research Focus: Dr. Gorelick's work bridges cell signaling, environmental influences on development, and zebrafish genetics. His team investigates hormone-mediated processes using CRISPR-based methods, receptor characterization, and high-throughput screening approaches to understand fundamental biological mechanisms and toxicological responses. Publication Trends: Recent articles focus on improving scientific peer review, zebrafish models for vaccine development and toxicology, estrogen receptor mechanisms, and novel screening platforms. This reflects dual emphases on research methodology innovation and molecular mechanisms of endocrine disruption. Funding: Actively supported by NIH/NIEHS and NIH/NICHD grants investigating aryl hydrocarbon receptor interactions and developmental toxicity mechanisms.

Anna Zamora-Kapoorمشاهده پروفایل

دانشیار

• Health Disparities
• Race and Ethnicity
• Inequality
• +۲ مورد دیگر

Dr. Anna Zamora-Kapoor is an Associate Professor in the Department of Sociology at Washington State University. Her educational background includes: BA in Sociology, Universidad de Barcelona, Spain (2006) MA in Sociology, Columbia University (2008) MPhil in Sociology, Columbia University (2009) PhD in Sociology, Columbia University (2013) Her research focuses on health disparities, race/ethnicity, and inequality, with specialized emphasis on Latino/Hispanic and American Indian/Alaska Native populations. She employs sociological methodologies to investigate inequitable health outcomes and develop intervention strategies, particularly in areas of cardiometabolic health, food security, gestational diabetes, and sleep-related mortality risks. Her publications (2019-2024) consistently examine racial/ethnic health disparities through large-scale longitudinal and cross-sectional studies. Primary themes include social determinants of health, structural inequities in cardiometabolic and neurological outcomes, and culturally responsive health interventions. Her work frequently utilizes national datasets like the Strong Heart Study and PRAMS. Notable recognition includes: Honorable mention for best dissertation in Migration and Citizenship by the American Political Science Association (2014) Dr. Zamora-Kapoor has contributed expertise to media outlets including The Seattle Times, Medical News Today, and Spanish-language broadcasts regarding COVID-19 disparities and health equity. No information is provided regarding current student advising, research grants, or laboratory affiliations.

• Cognitive Neuroscience
• Synaesthesia
• Social Neuroscience
• +۵ مورد دیگر

Prof Jamie Ward is a Professor of Cognitive Neuroscience at the School of Psychology, University of Sussex. He holds leadership roles including Co-Director of the Leverhulme Doctoral Scholarship Programme and Sussex REF lead for Psychology, Psychiatry, and Neuroscience. He is also President of the British Association of Cognitive Neuroscience and Founding Editor of Cognitive Neuroscience . His academic journey includes roles at University College London and the University of Sussex, with degrees from the University of Birmingham and the University of Cambridge. Research focuses on synaesthesia, social neuroscience of vicarious perception, and cross-modal plasticity. Key interests include multi-sensory brain mechanisms, empathy neural bases, and sensory substitution technologies. Over 286 publications span topics like misophonia neurochemistry, empathy-pain links, and synesthesia brain structure differences. Grants include funding from the Swiss National Science Foundation, Ream Foundation, and Leverhulme Trust for studies on perception-memory systems, misophonia comorbidities, and doctoral training. Teaching includes modules on Cognitive Neuroscience (BSc) and Social Neuroscience (MSc), with office hours for students. Labs and collaborations involve the Sussex Neuroscience network and international research partnerships. Current projects examine sound intolerance mechanisms, sensory sensitivity in developmental conditions, and neural correlates of vicarious experiences.

Elena Borraمشاهده پروفایل

دانشیار

• Neuroscience
• Cortical Networks
• Motor Control
• +۲ مورد دیگر

Elena Borra is an Associate Professor in the Department of Medicine and Surgery at the University of Parma, where she leads research on cortical and subcortical networks for voluntary motor control in primates. With extensive international collaborations across Europe and Japan, her work integrates anatomical tracing, neuroimaging, and computational approaches to understand brain connectivity. Her primary research interests focus on: Cortical networks for motor control and sensorimotor integration Primate neuroanatomy and comparative brain organization Structural and functional brain connectivity using tractography Subcortical contributions to motor circuitry Publication analysis reveals consistent themes in neural pathway mapping, with recent emphasis on tractography validation, cortico-basal ganglia circuits, and evolutionary neuroanatomy. Her work demonstrates increasing integration of multimodal techniques including diffusion MRI, neural tracers, and functional connectivity across 15+ publications. Research funding includes: FIL (Local University Research Fund) Cariparma Foundation Grant PRIN-MIUR 2017 project: Performing Actions in a Changing Environment (PACE) FFABR ANVUR basic research funding Dr. Borra leads the Neuroscience Unit and maintains active collaborations with laboratories at KU Leuven, Boston University, Kyoto University, and Sapienza University of Rome. She organized the international conference "Different elements of primate neural networks in the connectome era" in 2017.

Delin Sunمشاهده پروفایل

استادیار

• Neuroimaging
• Post-Traumatic Stress Disorder (PTSD)
• Mental Disorders
• +۳ مورد دیگر

Delin Sun is an Assistant Professor in the Department of Psychiatry & Behavioral Sciences at Duke University School of Medicine. His research focuses on neuropsychological and behavioral correlates of PTSD, adolescent trauma, and brain development using neuroimaging and machine learning techniques. He holds a Ph.D. from the University of Science and Technology of China. Education: Ph.D., University of Science and Technology of China, 2008 Research Interests: Dr. Sun investigates structural and functional brain changes in PTSD and trauma using advanced neuroimaging methods, including network-graph analysis and machine learning. His work explores the neural mechanisms underlying social cognition, addiction, and mental disorders such as Alzheimer’s and depression. He collaborates with the ENIGMA consortium on large-scale neuroimaging projects. Grants: Structural and Functional Architecture of Cortico-Cerebellar Systems in PTSD (NIH, 2025–2029) Genomic Architecture of Functional Brain Networks in PTSD (NIMH, 2023–2026) Professional Activities: Recent presentations include talks at the Society of Biological Psychiatry meetings and the Anxiety & Depression Association of America conference. He has authored over 60 peer-reviewed publications, focusing on PTSD biomarkers, cortical networks, and neuroimaging methodologies.

Oleksandr Freiمشاهده پروفایل

پژوهشگر

• Genetics of Psychiatric Disorders
• Machine Learning
• Neurogenetics
• +۳ مورد دیگر

Oleksandr Frei is a Researcher at the Section for Pharmacology and Pharmaceutical Biosciences , University of Oslo Faculty of Medicine , and a key member of the NORMENT (Norwegian Centre for Mental Disorders Research) . His work focuses on Genetics of Psychiatric Disorders , particularly uncovering rare genetic variants and gene expression patterns to address the hidden heritability of schizophrenia and other mental disorders. With a PhD in Mathematics and Machine Learning from the Moscow Institute of Physics and Technology (2013) , Frei brings a computational perspective to psychiatry. His prior industrial experience includes developing software at Microsoft (2010-2013) and Schlumberger (2014-2016) , where he worked on search engines and seismic data analysis, respectively. His recent research highlights include: Developing tools like MiXeR and FEMA for advanced genetic finemapping and neuroimaging analysis . Exploring genetic overlaps between psychiatric disorders and traits such as immune markers , metabolic profiles , and brain morphology . Contributing to precision psychiatry through studies on genetic risk stratification and cross-disorder pleiotropy . Frei's work bridges computational methods , genomics , and clinical neuroscience , with a strong emphasis on multi-ancestry studies and polygenic risk scores . He has published extensively in journals like Nature Communications , Molecular Psychiatry , and Biological Psychiatry .