جست‌وجوی استاد و پژوهشگر

Georgia Lockwood-Estrinمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Global Mental Health
• Developmental Disorders
• +۳ مورد دیگر

Georgia Lockwood-Estrin is a researcher with expertise in cognitive neuroscience and global mental health. She holds a PhD from Imperial College London and has conducted postdoctoral research at Birkbeck, University of London as a Sir Henry Wellcome Fellow. Her work focuses on translating neuroscientific methods into scalable tools for detecting developmental disorders, particularly autism spectrum disorders in low-resource settings like India. She has held roles at King’s College London and the London School of Hygiene and Tropical Medicine. Education: PhD (2010–2014): Clinical Neuroscience & Neuroimaging, Imperial College London MSc (2008–2009): Clinical Neuroscience, University College London BSc (2006–2008): Neuroscience, University of Nottingham Research Interests: Her work bridges cognitive neuroscience and global health, emphasizing neurodevelopmental assessments in low-income regions. Key themes include portable eye-tracking technology for autism screening, gender disparities in autism diagnosis, and scalable mental health interventions. Publications & Awards: Recipient of the 2012 Imperial College Charity Insights Award 2009 University of Nottingham Academic Achievement Award Author of over 20 peer-reviewed articles in journals like PLOS ONE and Lancet Psychiatry Contributed book chapters on neurodevelopment and global mental health Teaching & Grants: Led global mental health modules at King’s College London (2016–2017) Recipient of grants from the Wellcome Trust, Grand Challenges Canada, and the Medical Research Council Labs/Teams: Collaborates with the Child Development Group (Sangath, India) and the Centre for Brain and Cognitive Development (Birkbeck).

• Genetics
• Genomics
• Proteomics
• +۳ مورد دیگر

Shrikant Mane is a Professor of Genetics at Yale University, affiliated with the Yale School of Medicine. He holds dual directorships at the Yale Center for Genome Analysis (YCGA) Shared Resource and the Keck Biotechnology Resource Laboratory. His research focuses on genomic and proteomic technologies, including microarray and high-throughput DNA sequencing. Mane has over 25 years of academic and industry experience, with significant NIH funding and 125+ publications. He leads the Yale Center for Mendelian Genomics and pursues neuroscience research alongside his lab leadership roles. Education: PhD in Cancer Biology from the University of Bombay (1985), Postdoctoral training at Johns Hopkins University School of Medicine. His labs have provided genomic services to over 350 principal investigators globally. Collaborations include work with renowned researchers like Richard Lifton and Murat Günel. Research Interests: Genomic technologies, genetic basis of kidney diseases, neurodevelopmental disorders, and translational genomics. His work bridges clinical and basic science, with emphasis on applying genomic analyses to uncover disease mechanisms. Grants & Funding: Secured an $11.2M NHGRI grant for the Yale Center for Mendelian Genomics. Active in multi-institutional projects addressing congenital anomalies, kidney disorders, and neurovascular malformations. Labs & Teams: Directs YCGA and Keck Biotech labs, which provide cutting-edge genomic services including library preparation, sequencing, and bioinformatics. These facilities support over 72 national and 16 international institutions.

• Biomedical Engineering
• Dementia
• Kinetics
• +۱۰ مورد دیگر

Mika Naganawa is a Research Scientist in the Department of Radiology & Biomedical Imaging at Yale School of Medicine. Her work focuses on PET imaging techniques to study synaptic density and its implications in neurodegenerative and neuropsychiatric disorders. She holds a PhD from the University of Tokyo (2004) and has extensive postdoctoral experience at institutions like the National Institute of Radiological Sciences and Tokyo Metropolitan Institute of Gerontology. Her research interests include biomedical engineering, dementia, pharmacokinetics, and substance-related disorders. She has pioneered studies using PET tracers like [11C]UCB-J and [18F]SynVesT-1 to quantify synaptic density in conditions such as Alzheimer’s disease, Parkinson’s disease, and autism. Her work bridges clinical neuroscience with advanced imaging technologies, contributing to understanding disease mechanisms and therapeutic targets. Publications highlight her expertise in PET quantification methods, motion correction algorithms, and translational applications of imaging biomarkers. Collaborations with global teams (e.g., NIH, European institutions) underscore her role in interdisciplinary research.

• Psychiatry
• Reproductive Behavioral Health
• Women's Mental Health
• +۴ مورد دیگر

C. Neill Epperson, MD, is a Professor and Director of the Yale Program for Women’s Reproductive Behavioral Health (WRBH) at the Yale School of Medicine. He holds a MD from the University of North Carolina (1991) and completed Psychiatry residency and a fellowship at Yale. His research focuses on hormonal impacts on brain function across the female lifespan, including postpartum depression, premenstrual dysphoric disorder (PMDD), and stress-related mental health. He previously served as Chair of Psychiatry at the University of Colorado School of Medicine and led clinical and research programs in women’s behavioral health at the University of Pennsylvania. Dr. Epperson’s work integrates clinical practice, translational research, and public health initiatives, particularly addressing mental health disparities among immigrant populations and advancing technologies for mental health monitoring. His research has been continuously NIH-funded for over two decades, emphasizing sex/gender differences and reproductive health. Leadership roles include directing the Penn Center for Women’s Behavioral Wellness and co-founding the PROMOTES Research initiative. His grants and collaborations span academic-industry partnerships, such as a recent study on smartphone-based mental health monitoring. He advocates for reducing stigma in psychiatric care through neurobiological frameworks.

• Multiple Sclerosis
• Neurodegenerative Diseases
• Neuroimmunology
• +۴ مورد دیگر

Dr. David Pitt is an Associate Professor of Neurology at Yale School of Medicine, specializing in multiple sclerosis (MS) and neurodegeneration. He leads the Pitt Lab, focusing on astrocyte and oligodendrocyte biology, neuroimaging biomarkers (e.g., QSM), and exosome-based diagnostics. His research integrates advanced techniques like single-nucleus RNA sequencing and multiplexed imaging to map cellular interactions in MS lesions. Key affiliations include the Center for Brain & Mind Health and the Yale Stem Cell Center. Education: MD, Philipps University (Germany) Postdoctoral Fellowship, Albert Einstein College of Medicine Neurology Residency, Albert Einstein College of Medicine Neuroimmunology Fellowship, Washington University/Barnes-Jewish Hospital Research Interests: MS neurodegeneration mechanisms, imaging of chronic active lesions, astrocyte-exosome biomarkers, and translational therapies. His lab develops novel techniques such as multiplexed antibody imaging and CRISPR-edited iPSC models. Publications: Focus on QSM as an inflammatory biomarker, exosome-based diagnostics, and genetic risk variant effects on glial cells. Recent work emphasizes precision phenotyping and imaging consensus for MS lesion characterization. Awards: Includes Postdoctoral Research Fellowship from the National MS Society (2005) and German Research Council scholarships (1998). Grants & Teams: Collaborates with David Hafler and Erin Longbrake on MS immunology and clinical trials. Active in the Program for Neuroinflammation and translational imaging consortia. Labs/Teams: Pitt Lab at Yale, specializing in neuroinflammation, imaging, and stem cell technologies. Key innovations include spatial mapping of lesional cells and exosome isolation protocols.

• Neuroscience
• Brain Pathophysiology
• Speech and Language Disorders
• +۴ مورد دیگر

Nabin Koirala is an Associate Research Scientist at Yale University's Child Study Center, where he conducts interdisciplinary research at the intersection of neuroscience, engineering, and clinical applications. His work focuses on understanding brain pathophysiology in neurological and neuropsychological disorders and developing disease-specific brain biomarkers. Dr. Koirala's educational background reflects a strong interdisciplinary foundation: PhD in Neuroscience from Johannes Gutenberg University (2019) MSc in Engineering & Neuroscience from Christian Albrechts University (2014) BE in Engineering from Tribhuvan University (2010) Postdoctoral Researcher at Haskins Laboratories (2022) His research program investigates the neural correlates of speech, hearing, and language-related disorders using multi-modal brain imaging and electrophysiological data. He applies state-of-the-art frameworks of complex network algorithms and machine learning approaches to analyze brain connectivity and function. Dr. Koirala's work spans several key areas including cochlear implant research, brain network analysis in neurological conditions, machine learning applications in neuroscience, deep brain stimulation mechanisms, and speech and language processing in the brain. His publication record demonstrates significant contributions to understanding how socioeconomic status influences brain circuitry for literacy, neural characteristics affecting literacy outcomes in children with cochlear implants, and the application of artificial intelligence in epilepsy care, particularly in resource-limited settings. His research often employs advanced neuroimaging techniques including EEG and functional near-infrared spectroscopy to examine cross-modal plasticity and sensory integration. Dr. Koirala collaborates extensively with researchers across disciplines, with frequent co-authorship with Vincent Gracco and Nicole Landi. His work bridges basic neuroscience with clinical applications, particularly in pediatric populations and neurological conditions including Parkinson's disease, multiple sclerosis, and stroke.

• Virtual Reality
• Augmented Reality
• Educational Technology
• +۷ مورد دیگر

Roghayeh Barmaki is a researcher with extensive publications in virtual reality, augmented reality, and educational technology. Her work spans rehabilitation systems, autism therapy, and neuroimaging analysis using fNIRS. She collaborates with institutions including Georgia Institute of Technology and University of Florida. Key Collaborators : Anjana Bhat, Jicheng Li, Shayla Sharmin, Vuthea Chheang Research Themes : Wearable sensors, LSL framework, movement synchrony, multimodal learning analytics Research Interests She focuses on immersive technologies for education and therapy, with expertise in: Functional Near-Infrared Spectroscopy (fNIRS) for cognitive engagement Wearable sensor integration in rehabilitation Gender perspectives in AR/VR education Multimodal affect analysis for autism Privacy-preserving behavioral analytics 3D visualization for anatomy training Publication Trends Recent work emphasizes fNIRS applications in gaming environments and hybrid deep learning models for cognitive analysis. Earlier studies focused on gesture recognition, movement synchrony estimation, and autism intervention datasets. Impactful Projects She developed the MMASD dataset for autism research and contributed to VR therapy systems. Her collaborations include: Georgia Tech's Autism Technology Research University of Florida's TeachLivE virtual classroom Germany's AIxVR conference contributions International collaborations on sensor systems

• Neuroscience
• Memory
• Emotional Development
• +۳ مورد دیگر

Bénédicte AMILHON is a Professor at the Université de Montréal's Faculty of Medicine , Department of Neurosciences. Her research focuses on neural circuits linking emotional behavior and memory, particularly the interaction between emotions and memory formation via raphe-hippocampal pathways. She combines electrophysiology, optogenetics, and calcium imaging to study serotonergic modulation of hippocampal rhythms and anxiety. Education: PhD in Neuroscience (Université Pierre et Marie Curie Paris VI, 2009) Postdoctoral training at McGill University (2009-2017) Affiliations: Membre du Centre de recherche Azrieli du CHU Sainte-Justine Research grants from FRQS, NARSAD, and the Canadian Institutes of Health Research (CIHR) Her work has uncovered roles for serotonergic inputs in anxiety modulation and hippocampal theta rhythms. Key awards include the FRQS Junior 1 and NARSAD Young Investigator Award. She teaches courses in cellular/molecular neuroscience and supervises students in master's and doctoral programs. Current projects investigate neural circuits linking emotion and memory, including grants on raphe-hippocampus pathways (2020-2027) and curved electrode technologies for brain recordings (2023-2026). Labs/Teams: Amilhon Lab (specializing in optogenetics and circuit dissection) Part of the Azrieli Centre's interdisciplinary teams Grants: CIHR Project Grant (2018-2027) FRQS Junior 2 Award (2023-2026)

• Neuroscience
• Neurophysiology
• Biophysics
• +۳ مورد دیگر

Dejan Zecevic is a Senior Research Scientist at the Department of Cellular and Molecular Physiology, Yale University School of Medicine. He holds a PhD in Biophysics from the University of Belgrade (1981) and trained under Dr. Lawrence Cohen, a pioneer of voltage-sensitive dye recording. His research focuses on intracellular voltage-sensitive dye imaging, a cutting-edge technology for studying electrical signaling in axons, dendrites, and dendritic spines. Key research interests include action potentials, synaptic integration, and membrane potential dynamics in neuronal structures. Education: PhD in Biophysics, University of Belgrade, Serbia (1981) Research Interests: Zecevic’s work centers on understanding electrophysiological properties of dendritic spines and axons using advanced imaging techniques. He developed voltage-sensitive dye methods to visualize submillisecond membrane potential changes, enabling studies of synaptic signal integration and action potential propagation. His contributions include insights into spine head electrical coupling, axonal conduction mechanisms, and stochastic aspects of dendritic signaling. Key Research Trends: Recent publications highlight his focus on holographic illumination for spine imaging, stochastic backpropagation in dendrites, and leak-resistant axonal conduction. Techniques like computer-generated holography and combined optical methods (voltage + calcium imaging) are central to his work, advancing neurophotonics and systems neuroscience. Labs/Teams: Zecevic collaborates with the Yale Neuroscience community, particularly within the Cellular & Molecular Physiology department. His lab integrates biophysics, optics, and electrophysiology to explore fundamental neuronal mechanisms.

Lasse Riis Østergaardمشاهده پروفایل

دانشیار

• Medical Imaging
• Biomedical Engineering
• Image Processing and Computer Vision
• +۴ مورد دیگر

Lasse Riis Østergaard is an Associate Professor at the Department of Health Science and Technology, Aalborg University, affiliated with The Faculty of Medicine. His research focuses on medical imaging, AI applications in healthcare, and computational methods for analyzing medical images, particularly in CT and MRI. He leads projects such as 'Modelling and quantification of the cerebral cortex' and contributes to initiatives like the Danish Centre for Health Informatics and AI for the People. Key research areas include: Medical Image Analysis: Specializing in segmentation, artifact reduction, and quantitative measurements in CT/MRI AI in Surgery: Developing deep learning models for surgical action recognition and robotic skill assessment Clinical Applications: Investigating body composition via CT, lung function correlations, and placental vascular imaging He has authored over 120 publications and supervised 5 PhD students. Notable collaborations include work with the Virtual Brain project and NemoMed. Recent studies explore ethnic differences in body composition and AI-driven surgical training. Awards: None explicitly listed, but his work has received media attention including coverage in Surgical Endoscopy and Advances in Respiratory Medicine .

• Character
• Empathy
• Humanities
• +۳ مورد دیگر

David Carlson, MD is a Clinical Professor of Psychiatry at Yale School of Medicine and a Training and Supervising Analyst at the Western New England Institute for Psychoanalysis. His research focuses on character, empathy, mental processes, and psychological theory, with notable contributions to neural engineering, environmental science, and causal inference methodologies. He holds MD from Yale University (1958) and completed residency at Yale (1962). Research Interests: Dr. Carlson’s work bridges clinical psychiatry with interdisciplinary research. His recent studies address EEG-based autism detection, urban climate modeling, and machine learning applications in neuroscience and energy systems. He emphasizes reproducibility in neural engineering (NERVE-ML framework) and ethical AI practices regarding neurodiversity. Publishing Trends: His 2024-2025 articles highlight cross-disciplinary collaborations in environmental data fusion, battery design optimization, and causal network analysis. Key themes include leveraging machine learning for clinical and environmental challenges while addressing algorithmic biases and reproducibility standards. Professional Contributions: Maintains voluntary faculty roles and mentors interdisciplinary teams across Yale’s medical and engineering schools. Active in translational research studios and health equity initiatives.

Izabella Obálمشاهده پروفایل

دانشیار بالینی

• Amyotrophic Lateral Sclerosis (ALS)
• Neurology
• Rehabilitation Robotics
• +۳ مورد دیگر

Izabella Obál is a Clinical Associate Professor at Aalborg University Hospital, affiliated with the Department of Clinical Medicine under The Faculty of Medicine. She is also part of the Center for Rehabilitation Robotics, focusing on interdisciplinary research at the intersection of neurology and robotics. Her work emphasizes neurological disorders like amyotrophic lateral sclerosis (ALS), motor neuron disease, and rehabilitation engineering. She has contributed to projects such as the CRERoB initiative (2024–2027) and the development of adaptive hybrid control frameworks for ALS patients. Her research spans biomarker development, diagnostic aids using transcranial magnetic stimulation, and assistive robotics for severely disabled individuals. Collaborations include experts in neurology, biomedical engineering, and robotics. Obál’s research outputs (17+ publications) highlight clinical-neuroengineering solutions, including studies on Penn upper motor neuron scoring variability and thrombolysis in pregnancy-related strokes. Her work is published in journals like Journal of Neurology and Annals of Clinical and Translational Neurology . She actively participates in multidisciplinary teams advancing rehabilitation robotics, aiming to improve quality of life for individuals with progressive neurological conditions. Current projects focus on tongue-brain interfaces and exoskeleton systems for motor-impaired patients.

Nicole Landiمشاهده پروفایل

استاد

• Reading Development
• Language Development
• Developmental Cognitive Neuroscience
• +۴ مورد دیگر

Nicole Landi is a Professor and Director of Developmental Psychology in the Department of Psychological Sciences at the University of Connecticut. She holds a Ph.D. in Cognitive Psychology from the University of Pittsburgh (2005). Her research utilizes cognitive neuroscience approaches (ERP, MRI, neuroimaging genetics) to study reading and language development, focusing on disorders like dyslexia and specific reading comprehension disability. Education: Ph.D., Cognitive Psychology, University of Pittsburgh, 2005 Dr. Landi's research investigates neural mechanisms underlying reading disorders through collaborations with schools like AIM Academy and The Windward School. Her work examines predictors of intervention response and includes projects on neurochemistry, genetics, and technology-based interventions such as the HBN-EDUCATE program with the Child Mind Institute. Analysis of her recent publications (2022-2025) reveals consistent themes: neural correlates of reading ability, socioeconomic impacts on literacy, intervention effectiveness during COVID-19, and specialized populations (autism, cochlear implant users). Methodologies predominantly feature fMRI, ERP, and DTI to explore brain-behavior relationships across development. Scientific Awards: James McKeen Cattell Sabbatical Fellowship (2020-2021) Dr. Landi advises multiple graduate and undergraduate students, including recipients of the Isabelle Y. Liberman Award (Meaghan Perdue), Goldwater Scholarship (Katie Mahaffy), and Holster Scholar (Katie Hooker). Her lab secures funding for research projects through partnerships and fellowships, including international collaborations on imaging genetics. The LandiLab operates within the Bousfield Psychology Building, collaborating with the Yale Child Study Center, Language Sciences Consortium, and community schools. These partnerships enable translational research through in-school laboratories and longitudinal studies of reading intervention outcomes.

Michael G. Dwyer, IIIمشاهده پروفایل

دانشیار

• Neuroimaging biomarkers
• Quantitative neuroimaging
• Deep learning for MRI analysis
• +۲ مورد دیگر

Michael G. Dwyer, III, PhD, is an Associate Professor of Neurology and Biomedical Informatics at the University at Buffalo's Jacobs School of Medicine & Biomedical Sciences. He serves as the Director of the Neuroinformatics Development Lab at the Buffalo Neuroimaging Analysis Center, where his work focuses on advancing quantitative neuroimaging techniques to better understand neurological diseases, particularly multiple sclerosis (MS). Education: PhD, University of Bradford (2013) MS, Computer Science, Nova Southeastern University (2011) BS, Information Technology, Excelsior College (2009) Fellowship, NIH/NLM Research Training in Biomedical Informatics, University at Buffalo (2018) Research Interests: Dr. Dwyer's research expertise lies in developing and applying quantitative image analysis methods to neuroimaging data, aiming to improve the characterization of neurological disease onset, progression, and treatment. His work leverages advanced MRI techniques and modern computer science, particularly deep learning , to extract meaningful clinical metrics from complex neuroimaging data. Key areas include: Translational approaches to measuring brain atrophy in clinical routine MRI. Quantification of longitudinal myelin changes in vivo. Algorithms for tracking gray and white matter changes over time. Connectomics research on functional and structural networks in cognitive changes in MS. Scientific Awards: Publons 97th Percentile Reviewer (2021) Grants and Sponsored Research: Co-Investigator , 'A phase 3 double-blind study to evaluate the efficacy and safety of oral ozanimod compared to oral fingolimod in children and adolescents with relapsing-remitting multiple sclerosis' (Bristol Myers Squibb, $1,649,376, 2023–2032). Co-Investigator , 'Cerebral Protection in Transcatheter Aortic Valve Replacement: The PROTEMBO Trial' (Protembis GmbH, $992,994, 2023–2025). Co-Investigator , 'The effects of working memory training on brain function, structure, and cognition in MS' (National Multiple Sclerosis Society, $622,839, 2017–2020). Principal Investigator , 'NeuroSTREAM - Neurological Software Tool for Reliable Atrophy Measurement' (Novartis, Inc., 2014–2015). Labs and Teams: Dr. Dwyer directs the Neuroinformatics Development Lab at the Buffalo Neuroimaging Analysis Center, fostering interdisciplinary collaboration to advance neuroimaging methodologies and their clinical applications.

Andrew Melbourneمشاهده پروفایل

دانشیار

• Medical Imaging
• Fetal Medicine
• Placental Physiology
• +۳ مورد دیگر

Dr. Andrew Melbourne is an Associate Professor (Reader) in Healthcare Technologies at King's College London, affiliated with the School of Biomedical Engineering & Imaging Sciences and the Department of Surgical & Interventional Engineering. He leads the MSc/MRes Healthcare Technologies program and focuses on imaging sciences, computational modeling, and placental physiology. His work includes cross-disciplinary collaborations with clinicians to improve understanding of fetal interventions, placental function in conditions like fetal growth restriction, and twin pregnancies. Key projects include MRI advancements for placental and fetal health, funded by organizations such as the Wellcome Trust and NIH. Research interests span medical imaging techniques (MRI, CT), fetal-neonatal brain development, and AI-driven image analysis. Notable contributions include fetal noise exposure modeling, placental perfusion studies, and super-resolution MRI applications for surgical planning. Dr. Melbourne co-leads initiatives like the MIBIRTH study, aiming to optimize pregnancy management through imaging. He has organized workshops on perinatal image analysis and contributed to student prizes in Healthcare Technologies. Publications span over 100 peer-reviewed articles in journals like Nature Communications and NeuroImage, emphasizing placental biology, fetal surgery outcomes, and AI in medical imaging. His work bridges clinical needs with engineering solutions to address maternal-fetal health challenges.