جست‌وجوی استاد و پژوهشگر

Edward G. Freedmanمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Control
• Sensory Processing
• +۶ مورد دیگر

Edward G. Freedman, Ph.D., is a Professor in the Departments of Neuroscience and Biomedical Engineering at the University of Rochester School of Medicine and Dentistry (SMD). He co-leads the Frederick J. and Marion A. Schindler Cognitive Neurophysiology Lab (CNL-R), focusing on understanding neural mechanisms underlying sensory processing, cognitive control, and motor behavior across the lifespan. His work integrates advanced neuroimaging (EEG, fMRI), motion capture (MoBI), and clinical collaborations to study autism, Alzheimer’s, Parkinson’s, lysosomal storage disorders (e.g., Batten disease), and HIV-cocaine comorbidity. Education: Ph.D. in Neuroscience (University of Pennsylvania, 1996), MS in Neurobiology (Cornell University, 1992), BS in Biology (Brown University, 1986). Research Interests: Investigates sensory and cognitive processing deficits in neurodevelopmental and neurodegenerative disorders. Key projects include: Autism: Sensory processing atypicalities, somatosensation, and EEG biomarkers. Aging: Cognitive-motor interactions and neural plasticity using Mobile Brain/Body Imaging (MoBI). Lysosomal Storage Disorders: Multisensory deficits in Batten disease and Rett syndrome. Adolescent Brain Cognitive Development (ABCD Study): Longitudinal brain-behavior relationships in 10,000+ children. Scientific Awards: NSF CAREER Award (2002), Alfred P. Sloan Fellowship (2001), Donald B. Lindsley Prize (1997). Advising and Grants: Mentors graduate students and postdocs in translational neurophysiology. Collaborates with institutions like the University of Rochester Batten Center and the Schmitt Program on Integrative Neuroscience. Labs/Teams: Leads the CNL-R, part of the UR Center for Advanced Brain Imaging (UR CABIN). Active in interdisciplinary networks including the Adolescent Brain Cognitive Development (ABCD) Consortium.

• Developmental Psychology
• Cognitive Social Development
• Theory of Mind
• +۶ مورد دیگر

Antonia Lonigro is an Associate Professor at Sapienza Università di Roma , affiliated with the Facoltà di Medicina e Psicologia and the Dipartimento di Psicologia dei Processi di Sviluppo e Socializzazione . Her research focuses on developmental psychology, cognitive social processes, and risk behaviors in adolescents and young adults. Notable areas include theory of mind, binge eating, alcohol use, and family functioning. Education: 2018: Specialization in Cognitive-Behavioral Psychotherapy (PTS, Rome) 2013: PhD in Psychology of Orientation and Learning Processes (Sapienza) 2008: Master’s in Psychological Intervention in Development and Socio-Educational Institutions (Sapienza) 2005: Degree in Science and Techniques for Development and Health (Sapienza) Research Interests: Development of social cognition (theory of mind, pragmatics) Temporal perspective and risk behaviors (binge drinking, drunkorexia) Family dynamics and mental health in adolescents Psychological impacts of the pandemic (COVID-19 lockdown effects) Teaching: Current courses: Developmental Psychology, Educational Psychology Past roles: Lecturer at Università Roma Tre and Università Europea di Roma Key Research Trends: Over 50 peer-reviewed articles since 2011, emphasizing: Interplay between theory of mind and physiological markers (e.g., cardiac vagal tone) Psychosocial impacts of pandemic restrictions Socio-cultural factors in binge behaviors and family functioning

Congyu Liaoمشاهده پروفایل

استادیار

• Magnetic Resonance Imaging
• MR Physics
• Quantitative MRI
• +۴ مورد دیگر

Congyu Liao, PhD, is an Assistant Professor in the Department of Radiology and Biomedical Imaging and Technical Director of the Neuroimaging Technology Research Center (NTRC) at the University of California, San Francisco (UCSF). He completed his PhD in Biomedical Engineering at Zhejiang University (2018) and postdoctoral training at the Martinos Center (MGH/Harvard) before joining UCSF in 2025. PhD, Biomedical Engineering – Zhejiang University (2018) BS, Control Technology and Instrument Science – China University of Geosciences (2013) Postdoctoral Research Fellow – Harvard Medical School (2021) Instructor – Stanford University (2025) Dr. Liao specializes in advanced diffusion and quantitative MRI techniques for neurodevelopment and neurological disorders. His work focuses on distortion-free imaging, high-resolution myelin-water fraction mapping, and AI-driven MRI reconstruction. He has pioneered methods like gSlider-BUDA for mesoscale diffusion MRI and Deli-CS for spatio-temporal reconstruction. Congyu’s 15 most recent publications span topics in MR fingerprinting, diffusion imaging, and deep learning applications in MRI. Key trends include ultra-high-resolution brain imaging at 7 Tesla, reduced cross-scanner variability with vendor-agnostic sequences, and real-time motion correction for distortion-free dMRI. 2022: Junior Fellow, ISMRM 2022: Summa Cum Laude Merit Award, ISMRM 2021–2018: Multiple Cum Laude/Magna Cum Laude Merit Awards, ISMRM 2015: Educational Stipend, ISMRM He leads NIH-funded research (R01HD114719) on infant brain development imaging and has mentored collaborations with institutions like Stanford, Harvard, and MGH. His lab integrates MR physics, computational methods, and clinical translation to address challenges in pediatric and neurodegenerative diseases.

Joana Rita Pasion Ferreiraمشاهده پروفایل

پژوهشگر

• Neuroscience
• Psychology
• Psychopathology
• +۴ مورد دیگر

Joana Rita Pasion Ferreira is a Researcher at the Faculty of Psychology and Education (FPE), Lusofona University, affiliated with the Human Environment Interaction Lab (HEI-LAB). She holds a Master's degree in Psychology from the Faculty of Psychology and Educational Sciences of the University of Porto and is a certified member of the Portuguese Psychological Association. Expertise in neuroscience methods for studying psychopathology since 2014 Key contributor to the NIMH RDoC initiative for biomarker discovery in mental disorders Demonstrated leadership in 9 active/recent projects including HiTOP-SR and Empathic Heart Her research focuses on etiological pathways of internalizing/externalizing disorders (anxiety, depression, psychopathy), predictive processing models, and perinatal mental health. Media coverage of her work includes pediatric implications of maternal trauma and cannabis use prediction in adolescents. Recent scientific awards recognize her contributions to: ERP-based classification models for psychopathology Network analysis of psychopathy mechanisms Meta-analytic frameworks for autism traits Her collaborative work spans institutions like University of Porto , La Caixa Foundation , and BIAL Foundation , with presentations at international conferences (2024-2025) on topics such as mother-infant bonding and help-seeking barriers for violence victims.

• Neurodevelopment
• Neural Stem Cells
• Sonic Hedgehog Signaling
• +۴ مورد دیگر

Corey Harwell is a Professor in the Department of Neurology at the University of California, San Francisco (UCSF) School of Medicine. His research focuses on understanding neural development, particularly the molecular and cellular mechanisms underlying cortical circuit assembly and astrocyte-neuron interactions. He is the Principal Investigator (PI) on multiple NIH-funded grants, including studies on early life opioid exposure impacts, Sonic Hedgehog signaling in astrocyte-neuron crosstalk, and epigenetic regulation of neuronal lineage progression. Research Interests: Dr. Harwell’s work spans neurodevelopment, neural stem cell biology, and epigenetic regulation. He explores how transcriptional and signaling pathways (e.g., Hedgehog, PRDM16) shape neuronal and glial cell fate, synaptic organization, and circuit formation. His lab investigates these processes in both rodent and human models, with a focus on translational implications for neurological disorders. Funding & Awards: Currently leads four active NIH grants (R01DA059388, R01NS118933, R37MH119156, R01NS102228), demonstrating sustained federal support for his research programs. These grants span 2017–2028, emphasizing long-term commitment to critical developmental neuroscience questions. Collaborations: Collaborates with leading researchers such as Arturo Alvarez-Buylla (UCSF), Arnold Kriegstein (UCSF), and Alex Pollen (UCSF), leveraging interdisciplinary approaches to study neural circuits and stem cell biology. Publications: Has authored over 30 peer-reviewed articles in journals like Neuron , Cell , and Development , with notable contributions on Sonic Hedgehog signaling in astrocyte-neuron interactions and epigenetic control of cortical neuron positioning.

Katie Bentleyمشاهده پروفایل

مدرس ارشد

• Computational Biology
• Biomedical Engineering
• Systems Biology
• +۵ مورد دیگر

Dr. Katie Bentley is a Senior Lecturer in Computer Science at King’s College London’s Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences. She leads the Cellular Adaptive Behaviour Lab at the Francis Crick Institute, focusing on computational modeling of cell behavior in developmental and disease contexts. Her work integrates agent-based simulations with experimental biology to study collective cell dynamics, particularly in angiogenesis and vascular diseases like cancer and retinopathy. Research Interests : Computational biology, agent-based modeling, systems biology, cell-cell signaling (Notch/Delta), vascular development, and disease modeling. She applies computational methods to understand how individual cell behaviors lead to emergent tissue-level patterns. Recent Work : Recent studies include modeling Notch signaling’s role in blood-brain barrier formation (2024), mechanoregulation of angiogenesis via YAP/TAZ (2024), and Bmp9’s regulation of angiogenesis (2023). She has also developed pandemic models like OpenABM-Covid19 (2021) and investigated vascular permeability in diabetic retinopathy (2019). Awards : None explicitly listed in provided text. Advising & Grants : Supervised at least one doctoral student (Nitzsche, A.) on vascular biology topics. Active in interdisciplinary collaborations across bioengineering, computational science, and experimental biology. Labs/Teams : Leads the Cellular Adaptive Behaviour Lab (Crick Institute) and collaborates with institutions like UCL, Imperial College London, and international partners in computational biology.

Tammy Tranمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Alzheimer's Disease
• Cognitive Aging
• +۳ مورد دیگر

Tammy Tran, Ph.D., is a Postdoctoral Fellow in the Wagner Lab at Stanford University. Her research focuses on neural mechanisms underlying memory encoding in young adults and its changes in aging and Alzheimer’s disease. She employs virtual navigation to explore memory-spatial navigation interplay and investigates structural changes linked to biofluid and imaging biomarkers through the Stanford Aging and Memory study. Funded by the NIA F32 and Alzheimer’s Association Research Fellowship, her work bridges cognitive neuroscience with clinical biomarkers. Dr. Tran holds a Ph.D. from Johns Hopkins University (2019). Her research interests include Alzheimer’s disease progression, cognitive aging, and neuroimaging techniques. Her publications span topics like cortical selectivity in older adults, histological MRI protocols, and APOE’s role in tau accumulation. Scientific Awards: NIA F32 Fellowship, Alzheimer’s Association Research Fellowship Labs/Teams: Wagner Lab, Stanford Aging and Memory Study Grants: NIA F32 (Fellowship), Alzheimer’s Association Her articles emphasize translational neuroscience, linking molecular, structural, and functional biomarkers to memory performance. Current work explores how attention and pathology influence memory processes in aging populations.

Jørgen Afseth Sugarمشاهده پروفایل

دانشیار

• Neuroscience
• Episodic Memory
• Neurophysiology
• +۵ مورد دیگر

Jørgen Afseth Sugar is an Associate Professor at the Faculty of Medicine , University of Oslo, specializing in Neuroscience and Neurophysiology . His research focuses on understanding the neural mechanisms underlying episodic memory formation and retrieval in humans, utilizing clinical epilepsy patient data through intracranial recordings. Education: Medicine (NTNU), PhD in Neuroanatomy (NTNU), Postdoc in Neurophysiology (NTNU) Current projects: Brainsight , Memory maps , Neurophysiological Mechanisms of Human Auditory Predictions (AudioPred) His work bridges Neuro-Surgery and Neurocell Signaling , emphasizing neuronal network oscillations in memory processes. Collaborations include FRONT neurolab, RITMO, and the Voytek lab. Publication trends reveal a focus on hippocampal connectivity , retrosplenial cortex interactions , and temporal coding across rodent models and human studies.

Andrea K. Stavoeمشاهده پروفایل

استادیار

• Neurobiology
• Autophagy
• Neurodegeneration
• +۴ مورد دیگر

Dr. Andrea K. Stavoe is an Assistant Professor in the Department of Neurobiology and Anatomy at McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth). She joined the faculty in September 2020 after completing her postdoctoral training at the University of Pennsylvania. BS in Biochemistry/Molecular Biology/Biotechnology and BA in French from Michigan State University MPhil and PhD in Cell Biology from Yale University Postdoctoral training in Dr. Erika Holzbaur's lab at University of Pennsylvania Dr. Stavoe's research program focuses on understanding how neurons maintain their homeostasis and integrity over the lifetime of an organism. Her work specifically investigates the role of autophagy—a critical cellular degradation pathway—in neuronal health during aging and neurodegeneration. The Stavoe lab employs advanced multi-color live-cell and live-animal microscopy, complemented by biochemical, molecular biology, and genetic techniques. They utilize primary mouse neuron cultures alongside the genetic tractability of C. elegans to study how autophagy is regulated in neurons both temporally and spatially. Analysis of Dr. Stavoe's publication record reveals a strong research trajectory spanning neuronal development, synaptic organization, and the critical role of autophagy in neuronal maintenance. Her work demonstrates a clear evolution from studying synaptic vesicle clustering mechanisms during neurodevelopment to investigating age-related changes in neuronal autophagy—a pathway implicated in major neurodegenerative diseases including Alzheimer's, Parkinson's, and Huntington's diseases. Scientific Awards: F32 postdoctoral training fellowship from NINDS NIH Pathways to Independence Award (K99/R00) from NINDS Rising STAR Award from the UT system Dr. Stavoe established her independent research program at UTHealth in 2020 with funding from the Rising STAR Award. Her research has significant implications for understanding and potentially treating age-related neurodegenerative disorders. The Stavoe lab investigates the molecular mechanisms controlling neuronal autophagy at multiple stages—from autophagosome biogenesis to content degradation—to determine how this pathway changes in neurons with age. The Stavoe lab utilizes primary neuron culture from mice combined with C. elegans models to examine neuronal autophagy in vivo. Their approach integrates advanced imaging techniques with molecular and genetic approaches to dissect the mechanisms regulating autophagy specifically in neurons.

Lisa Fenkمشاهده پروفایل

پژوهشگر

• Behavioral Neuroscience
• Cognitive Neuroscience
• Cellular Neuroscience
• +۴ مورد دیگر

Lisa Fenk is a Lise Meitner Research Group Leader at the Max Planck Institute for Biological Intelligence in Martinsried, Germany. Her work bridges Behavioral & Cognitive Neuroscience and Cellular & Systems Neuroscience , using Drosophila and zebrafish to study sensory processing. Education: PhD in Neurobiology (2007–2011), University of Vienna; Diploma in Biology (2005–2007), Physics & French (1999–2005). Prior Positions: Postdoc at Rockefeller University (2015–2021), IMP Vienna (2012–2015). Her research explores how brains differentiate self-generated sensory input from external stimuli, focusing on retinal movements and efference copy mechanisms. She employs electrophysiology , calcium imaging , and behavioral genetics to decode neural circuits. Key trends in her 15 most recent articles (2007–2025) include: Visual processing in Drosophila and spiders Role of retinal muscles in sensory augmentation Asymmetric neural coding for object-background distinction Transcriptomic and optogenetic analysis of neural circuits Evolutionary neuroethology across species

Stamatios Sotiropoulosمشاهده پروفایل

دانشیار

• Brain Imaging
• Diffusion MRI
• Tractography
• +۳ مورد دیگر

Dr. Stamatios Sotiropoulos is an Associate Professor at the Sir Peter Mansfield Imaging Centre , University of Nottingham , with prior affiliations as Principal Investigator and Postdoctoral Research Associate at the FMRIB Centre , University of Oxford . He leads the Computational Neuroimaging (CoNI) Laboratory , focusing on advanced MRI methodology for brain connectome mapping. PhD in Brain Image Analysis (University of Nottingham, 2010) MSc in Biomedical Engineering (University of Minnesota, 2005) BSc in Electronics & Computer Engineering (Technical University of Crete, 2003) His research spans diffusion MRI , tractography , and connectome modeling , with applications in brain aging , neurodegenerative diseases , and cross-species neuroanatomy . Recent work includes AI-driven QC , probabilistic inference , and cross-modal integration . Grants include major awards from the European Research Council (2020), Wellcome Trust , and EPSRC . The lab has developed widely-used tools like XTRACT , CUDIMOT , and NFacT within the FSL framework. 2021 Clarivate Highly Cited Researcher ISMRM 2022 Merit Awards Notable students include Shaun Warrington (PhD, 2021) and José-Pedro Manzano-Patrón (PhD, 2022). Collaborations span the Human Connectome Project , Developing Human Connectome Project , and Centre for Mesoscale Connectomics .

Peter Mathersمشاهده پروفایل

دانشیار

• Molecular Genetics
• Developmental Neuroscience
• Sensory Systems Biology
• +۳ مورد دیگر

Peter Mathers is an Associate Professor at West Virginia University School of Medicine, affiliated with the Departments of Biochemistry and Molecular Medicine, Neuroscience, and the Rockefeller Neuroscience Institute. His research focuses on the molecular genetics of sensory system development, particularly the eye and ear. Education: PhD, California Institute of Technology Research Interests: The lab investigates transcription factors regulating sensory organ development via transgenic and knockout mouse models. Key areas include retinal progenitor proliferation, auditory brainstem relay centers, and stem cell-based tissue regeneration. Techniques span molecular genetics, biochemical assays, and fluorescent imaging. Publication Trends: Recent work emphasizes developmental gene expression (e.g., Rx, Rax), sensory system pathologies (e.g., anophthalmia), and synaptic organization in auditory circuits. Studies often employ conditional gene deletion and mutational analysis to link genotypes to sensory phenotypes.

Ryunosuke Amoمشاهده پروفایل

استادیار

• Neuroscience
• Dopamine Signaling
• Computational Neuroscience
• +۷ مورد دیگر

Ryunosuke Amo, Ph.D., is an Assistant Professor at the Fralin Biomedical Research Institute at VTC and the School of Neuroscience within the College of Science at Virginia Tech. He leads the Amo Lab, part of the Center for Neurobiology Research, where his team investigates the neural mechanisms of dopamine signaling and its role in behavior and disease. Research Interests: Dr. Amo's research integrates anatomy, physiology, behavior, computational modeling, and molecular tools to understand how dopamine neurons generate diverse signals related to reward, aversion, motivation, and learning. His work explores how opioid exposure disrupts these signals and how dopamine systems have evolved across vertebrates. Key areas include prediction error coding, habenula function, and the neural basis of psychiatric and neurological disorders such as addiction, depression, and Parkinson’s disease. Publication Trends: His recent publications in high-impact journals like Neuron and Nature Neuroscience reflect a strong focus on dopamine neuron dynamics, particularly in relation to reinforcement learning models. His work bridges experimental neuroscience with computational approaches, revealing deep parallels between neural activity and machine learning algorithms like temporal difference learning. Society for Neuroscience, Trainee Professional Development Award (2023) Japan Neuroscience Society, Young Investigator Award (2023) Comprehensive Brain Network, Summer Workshop 2011, Best Presentation Award (2011) Advising and Grants: While specific students are not listed, Dr. Amo leads an active research lab with open positions, indicating ongoing mentorship of graduate students, postdoctoral associates, and research coordinators. His prior support from prestigious institutions like Harvard and RIKEN suggests a strong history of competitive funding, though current grants are not detailed in the text. Labs and Teams: Dr. Amo directs the Amo Lab at the Fralin Biomedical Research Institute, which is embedded within the Center for Neurobiology Research. His team employs cutting-edge techniques to dissect neural circuits involved in dopamine and serotonin signaling, with a focus on translational relevance to brain disorders.

Chris Newlandمشاهده پروفایل

استاد

• Behavioral Pharmacology
• Neurotoxicology
• Environmental Health
• +۷ مورد دیگر

Chris Newland is a Professor in the Department of Psychological Sciences at Auburn University, College of Liberal Arts. His research examines the behavioral consequences of neurotoxicants and drugs, particularly methylmercury and psychostimulants, across the lifespan, using experimental models in rodents. He is funded by the National Institute of Environmental Health Sciences and contributes significantly to the fields of behavioral pharmacology and neurotoxicology. Education: Postdoctoral Fellowship, University of Rochester PhD, Georgia Institute of Technology BEE, Auburn University Dr. Newland’s research integrates experimental analysis of behavior with environmental health and psychopharmacology, focusing on how neural disruptions from toxins manifest in behavior. His work emphasizes quantitative modeling of behavior, developmental trajectories (early life to aging), and cognitive processes such as decision-making, impulsivity, and learning flexibility. He frequently publishes on methylmercury, cocaine, and amphetamine effects in adolescent and adult models. His recent publications show a strong trend in neurodevelopmental toxicology, particularly the long-term cognitive and behavioral impacts of early exposure to environmental contaminants. These studies use sophisticated behavioral paradigms like reversal learning, delay discounting, and fixed-ratio schedules to quantify neurobehavioral deficits. Scientific Awards and Honors: APA Division 25 Award for Distinguished Contributions to Behavior Analysis Auburn University Creative Scholarship Award Fellow, Association for Behavior Analysis International (ABAI) Dr. Newland serves on the editorial boards of Journal of the Experimental Analysis of Behavior , Perspectives on Behavior Science , Policy Insights from the Behavioral and Brain Sciences , Neurotoxicology (as Associate Editor), and Neurotoxicology and Teratology . He previously served on an NIH study section for neurotoxicology and alcohol. He mentors graduate students and teaches courses including Drugs and Behavior, Biopsychology, and Behavioral Effects of Environmental Contaminants. He has secured external funding from NIEHS and actively contributes to national scientific discourse on behavioral science and environmental policy. He is actively involved in research teams focused on neurotoxicology and behavioral modeling, collaborating across disciplines to translate experimental findings into public health insights.

Pew-Thian Yapمشاهده پروفایل

استاد

• Medical Imaging
• Machine Learning
• Neuroscience
• +۳ مورد دیگر

Dr. Pew-Thian Yap is a Professor in the Department of Radiology at the University of North Carolina at Chapel Hill and serves as Director of the Image Analysis Core of the Biomedical Research Imaging Center (BRIC). His roles include Associate Chair of Basic Science Research and Co-Director of Radiological Sciences Faculty Development. He leads research in medical imaging innovations, focusing on MRI analysis, neural modeling, and clinical applications in neuroscience and disease diagnosis. Educations: PhD from University of Malaya, Malaysia Postdoctoral Fellowships at Nanyang Technological University, Singapore, and University of North Carolina His research spans image acquisition, reconstruction, harmonization, and analysis, with applications in brain development, neurodegenerative diseases (e.g., Alzheimer’s), and surgical planning. Notable projects include federated learning for multisite MRI analysis, infant brain MRI super-resolution, and generative AI in oncology imaging. Dr. Yap’s work emphasizes cross-disciplinary collaboration, integrating machine learning with medical imaging to address clinical challenges. His lab develops open-source tools and datasets for advancing imaging standards and accessibility.