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David OsherView profile

Assistant Professor

• Cognitive Neuroscience
• Neural Connectivity
• Visual Perception
• +5 more

Dr. David Osher is an Assistant Professor in the Department of Psychology at The Ohio State University, directing the Cognition and Brain Circuitry Laboratory. His work focuses on brain connectivity, neural function, and behavior using computational modeling, neuroimaging, and machine learning techniques. Key research areas include visual perception, attention mechanisms, and the prediction of brain responses via structural/functional connectivity patterns. Educational background: Ph.D. in Neuroscience from MIT (2013), B.S. in Psychology from The Ohio State University (2006). Postdoctoral training at Boston University with David Somers. Awards include the Ohio Supercomputer Champion Award (2019-2024), NEI Early Career Scientist Travel Grant, and multiple Hariri Institute awards for computational research. Research employs behavioral assessments, eye-tracking, fMRI, and diffusion neuroimaging. The lab explores how innate connectivity patterns shape cortical selectivity and predict functional responses. Recent work emphasizes cerebellar contributions to attention networks and personalized cortical atlases for high-level vision. Collaborations span cognitive neuroscience, computational modeling, and clinical applications. Lab members include Isaac Liao, Terra Miller, Derrek Montalvo, and others. Active projects involve configural processing, preterm birth impacts on brain networks, and neural mechanisms of convergence insufficiency. Funding sources include NIH grants and supercomputing initiatives.

Gabriele JanzenView profile

Associate Professor

• Spatial Memory
• Neuronal Plasticity
• Memory Consolidation
• +3 more

Dr. Gabriele Janzen is an Associate Professor at Radboud University Nijmegen, affiliated with the Behavioural Science Institute and the Donders Institute for Brain, Cognition, and Behaviour. Her research focuses on spatial memory, neuronal plasticity, memory consolidation, and the neural mechanisms underlying cognitive development. She holds a Diplom in Psychology from the University of Mannheim and completed postdoctoral training at the Max Planck Institute for Psycholinguistics and the Donders Institute. Janzen’s work is supported by prestigious grants, including the ERC Starting Grant (2007) for spatial memory studies and the NWO Vidi Grant (2007) on neural correlates of spatial memory. She has also received the Aspasia Premie (2009) and a poster prize from the Dutch Psychonomic Association (2007). Her research integrates neuroimaging techniques to explore how spatial and linguistic information is processed and stored across the lifespan. Her articles highlight developmental changes in brain activation during grammar learning, neural correlates of spatial cue use, and the role of theta oscillations in word consolidation. She collaborates on projects like the 'Magic moments in word learning' initiative, examining memory formation in diverse language settings. Janzen teaches master’s courses in pedagogical sciences and supervises research on spatial cognition and neurodevelopment. Her labs and teams include the Neural Correlates of Spatial Memory group, where she investigates spatial orientation in children and adults. Her work bridges cognitive neuroscience with educational applications, emphasizing translational research to understand and enhance learning processes.

• Psycholinguistics
• Memory Studies
• Conversational Pragmatics
• +5 more

Sarah Brown-Schmidt is a Professor of Psychology & Human Development at Vanderbilt University. Her research focuses on language and memory processes in interactive conversation, particularly examining perspective-taking, conversational pragmatics, and how memory impairments (e.g., TBI, Alzheimer's) affect language use. She employs innovative methods like targeted language games and eye-tracking to study real-time language processing. Her work explores three core themes: (1) how speakers' knowledge of conversational partners' knowledge guides language use, (2) memory mechanisms supporting language production/understanding, and (3) the cognitive stages linking ideas to speech. Collaborations with Dr. Melissa Duff investigate hippocampal-dependent memory's role in language processing in clinical populations. Recent studies examine narrative recall deficits in TBI patients, effects of alcohol on conversational common ground, and singular they pronoun usage. Methodologically, she develops advanced statistical models (e.g., generalized additive mixed models) for analyzing intensive eye-tracking data. Her lab focuses on applied cognitive science with implications for legal testimony, AI-human communication, and clinical interventions for neurocognitive disorders. Current projects include exploring social media's cognitive impacts and memory for conversational evidence in legal contexts.

Tobias OverathView profile

Assistant Professor

• Auditory Neuroscience
• Speech Perception
• Neural Processing of Sound
• +4 more

Tobias Overath is an Assistant Professor of Psychology and Neuroscience at Duke University, affiliated with the Duke Institute for Brain Sciences and the Center for Cognitive Neuroscience. His research focuses on understanding how the human brain processes sound, particularly examining acoustic parameters like pitch and timbre, and the neural mechanisms underlying speech perception and temporal integration. His work combines behavioral experiments with neuroimaging techniques (fMRI, EEG) to study auditory cortex function. Education: Ph.D., University College London (2009) M.S., Humboldt University of Berlin (2004) Research Interests: Neural representation of fundamental acoustic parameters Speech-specific acoustic analysis to linguistic transformation Temporal integration in auditory perception Impact of auditory deafferentation on speech comprehension His grants include NIH-funded projects exploring high-performance MRI for brain imaging, cochlear implant optimization, and speech processing in familiar/foreign languages. Professional Activities: Course instructor for Functional Neuroimaging (PSY 303L) and Cognitive Neuroscience (PSY 217D) Data+ Project Leader (2023) Review Editor for Frontiers for Young Minds (2018–present) Labs/Teams: Leads the O-Lab (Overath Lab) at Duke, focused on auditory neuroscience and speech processing.

Josef RauscheckerView profile

Professor

• Central Nervous System
• Brain
• Cerebral Cortex
• +7 more

Josef Rauschecker is a Professor of Physiology and Biophysics, Neurology, and Neuroscience at Georgetown University, where he directs the Laboratory of Integrative Neuroscience and Cognition (LINC). He holds a Hans Fischer Senior Fellowship at TUM's Institute for Advanced Study. His research focuses on sensory systems, auditory cortex organization, and neuroplasticity, with contributions to understanding tinnitus, language processing, and cross-modal perception. He has mentored over 30 students and has been recognized with awards including the Humboldt Research Award and Finland Distinguished Professorship. Education: PhD (Dr.-Ing., 1980) and habilitation (1985) from TUM and Eberhard Karls University. Research Interests: Central Nervous System, Sensory Systems, Plasticity, Language and Music, Tinnitus. Awards: Includes the Hans Fischer Senior Fellowship (2013), Finland Distinguished Professor (2008–2013), and Humboldt Research Award (2002). Grants: Funded by NIH and NSF for studies on auditory cortex and neuroimaging. Labs/Teams: Director of LINC and co-leader of the PICCS international program with 9 global institutions. His work spans animal electrophysiology, human fMRI, and neuroimaging, with key contributions linking auditory perception to brain circuitry. Recent studies explore cross-modal processing in the blind and neural mechanisms of tinnitus.

Ehsan AdeliView profile

Assistant Professor

• Translational Artificial Intelligence
• Medical Imaging
• Computational Neuroscience
• +3 more

Ehsan Adeli is an Assistant Professor of Psychiatry & Behavioral Sciences at Stanford University, with courtesy appointments in Computer Science and Biomedical Data Science. He leads the Stanford Translational AI (STAI) Lab, focusing on developing AI algorithms for healthcare and mental health. His research integrates 3D motion analysis from video data with neuroimaging techniques like MRI to study neurodegenerative and neuropsychiatric diseases. He holds academic roles including Director of AI/Innovation in Precision Mental Health and membership in institutes like HAI and Wu Tsai Neurosciences. His work spans digital health, computational neuroscience, and explainable machine learning. Education: Ph.D. in Artificial Intelligence & Computer Vision (Carnegie Mellon University), Postdoc in Biomedical Imaging & Computational Neuroscience (UNC Chapel Hill). Research interests include translational AI for mental health, digital humans (3D motion analysis), and human neuroscience (MRI-based brain function exploration). His lab develops tools like the Short Physical Performance Battery (SPPB) app for objective assessments. Notable honors include the Chairman’s Award for Educational Excellence (2023) and Jaswa Innovator Award (2022-2024). He advises over 20 graduate and postdoctoral students across multiple disciplines. Labs/Teams: STAI Lab, Computational Neuroscience Lab, Stanford Vision and Learning Lab.

Nicholas M. BlauchView profile

Research Fellow

• Neural Computation
• Artificial Intelligence
• Cognitive Science
• +3 more

Nicholas M. Blauch is a Postdoctoral Fellow at Harvard University, affiliated with the Harvard Vision Sciences Lab, Psychology Department, and the Kempner Institute for Natural and Artificial Intelligence. His research focuses on understanding how biological neural systems learn and represent visual information, and how these principles can inform the development of energy-efficient artificial intelligence. He holds a Ph.D. in Neural Computation from Carnegie Mellon University, advised by David C. Plaut and Marlene Behrmann. His work bridges computational neuroscience and AI, particularly in modeling topographic organization of the brain. Key interests include foveation's role in visual processing, spatial embedding in neural networks, and aligning AI models with biological brain structures. His postdoctoral projects aim to develop vision models that emulate human perception while advancing insights into neural mechanisms. Recent publications highlight innovations like the Topoformer (2024), a Transformer variant with topographic organization mirroring brain structures, and TopoLM (2025), a language model with spatio-functional brain-like organization. Collaborations span Harvard's Vision Sciences Lab and Visual Computing Group, emphasizing interdisciplinary approaches. Education includes a Ph.D. from Carnegie Mellon (2023) and prior teaching roles as a Teaching Assistant for computational neuroscience courses. His long-term vision is to create large-scale, spatially-embedded models of the human brain, integrating biological constraints to achieve sustainable AI.

Annika LinkeView profile

Academic

• Neuroscience
• Brain Imaging
• Neurodevelopmental Disorders
• +4 more

Annika Linke, Ph.D., is a Research Assistant Professor in the Department of Psychology at San Diego State University (SDSU), within the College of Sciences. Her research focuses on neurodevelopmental disorders, particularly autism spectrum disorder (ASD), using advanced neuroimaging techniques like fMRI to study brain function across the lifespan. She holds a Ph.D. in Cognitive Science from the University of Cambridge and a B.A. in Cognitive Psychology from Jacobs University Bremen. Prior to joining SDSU in 2016, she conducted postdoctoral research at Western University's Brain and Mind Institute in Canada. Dr. Linke's work investigates how brain networks develop and differ in individuals with ASD, with a focus on sensory processing, sleep, and cognitive functions. Her lab, part of the Brain and Developmental Imaging Lab (BDIL), employs multimodal neuroimaging to understand functional connectivity disruptions in ASD. Key areas of interest include auditory and motor cortex abnormalities, thalamocortical connectivity, and longitudinal developmental trajectories in neurodevelopmental disorders. Her research has explored links between neural biomarkers (e.g., BOLD signal variability, glymphatic activity) and behavioral outcomes in ASD, particularly in children and older adults. She also examines how early environmental factors (e.g., multilingual exposure) influence brain network organization in neurodevelopmental populations. Methodological contributions include optimizing fMRI protocols for infants and refining neuroimaging analysis techniques like dynamic time warping for ASD classification. Dr. Linke collaborates internationally, including work on affordable neuroimaging in low-resource settings. She has published extensively on ASD-related topics, with over 50 peer-reviewed articles in journals such as NeuroImage , Human Brain Mapping , and Sleep Medicine . Her current projects aim to identify neurobiological mechanisms underlying ASD symptoms to inform early intervention strategies.

Madalina TivarusView profile

Associate Professor

• Neuroimaging
• Neuroscience
• Neurology
• +3 more

Dr. Madalina Tivarus is an Associate Professor in the Department of Imaging Sciences and holds a joint appointment in the Department of Neuroscience at the University of Rochester School of Medicine and Dentistry (SMD). She specializes in clinical neuroimaging, directing the Functional MRI pre-surgical brain mapping program and the 3D Post-Processing Lab. Her work focuses on advanced MRI techniques including fMRI, DTI, ASL, and MRS, applied to neurological conditions like epilepsy, Alzheimer’s, HIV-associated neurocognitive impairment, and brain tumors. Dr. Tivarus also serves on the DelMonte Institute for Neuroscience and the University of Rochester Center for Advanced Brain Imaging & Neurophysiology (UR CABIN), contributing to protocol development and MR safety compliance. Education: PhD in Biophysics (2006, Ohio State University), MS in Biophysics (2004) and Physics (1998), and BS in Physics (1997), all from the University of Bucharest, Romania. She completed postdoctoral training at the University of Rochester in Imaging Sciences and Brain and Cognitive Sciences. Research Interests: Pre-surgical brain mapping, cerebrovascular reactivity, HIV neuroimaging, and functional connectivity disruptions in neurological disorders. Projects include using resting-state fMRI for language lateralization in surgical planning and evaluating exercise interventions for chemotherapy-induced neurotoxicity. Awards: Hazel Brown Teaching Award (2001), Alumni Grants for Graduate Research (2004), and multiple fellowships. Over 50 peer-reviewed publications highlight her contributions to neuroimaging applications in clinical settings. Labs & Teams: Leads the Tivarus Lab, collaborating with the Cognitive Neurophysiology Lab and the UR CABIN. Projects address brain tumor functional connectivity, epilepsy lesion detection via MRI, and neurovascular mechanisms in HIV.

• Neuropsychology
• Cognitive Neuroscience
• Bilingual Cognition
• +4 more

Professor Peter Bright is a faculty member at Anglia Ruskin University (ARU), holding the position of Professor of Psychology and Director of the ARU Centre for Mind and Behaviour. He also serves as Co-Director of the Multilanguage and Cognition (MULTAC) lab at University College London and is affiliated with the Vision and Eye Research Institute at ARU. He is a Principal Investigator (PI) at the Cambridge Neuroscience initiative at the University of Cambridge. His academic journey includes post-doctoral roles at the University of Cambridge and King’s College London, culminating in a PhD from the University of Cambridge in 1999. Dr. Bright’s research focuses on neuropsychology, bilingual cognition, memory, and cognitive control. He leads projects exploring the neurocognitive basis of language and memory, the effects of bilingualism across the lifespan, and the development of tools for estimating premorbid intelligence. His work integrates neuroimaging (MRI/fMRI), psychometric assessments, and longitudinal studies to understand cognitive processes in health and disease. Teaching and academic service: He chairs ARU’s University Research Ethics Committee and teaches courses such as Imaging & Diagnostics in Cognitive Neuroscience and Cognitive Neuroscience . He is an editorial board member for journals like Scientific Reports and Frontiers in Psychology , and has reviewed grants for the BBSRC, ESRC, and MRC. Collaborations: His research network includes institutions like the University of Cambridge, King’s College London, and international partners. Key collaborations focus on bilingualism, Alzheimer’s disease, and neuroimaging methodologies. Recent talks include presentations at the Cognitive Neuroscience Society Meeting (2023) and the Joint Conference on Digital Innovations (2023). Grants and funding: He has secured grants from the British Academy/Leverhulme Trust (£277k), the Leverhulme Trust (£10k), and ARU’s Health and Wellbeing Academy (£67k). His work explores topics like bilingual cognitive development and early Alzheimer’s biomarkers. Labs and teams: Directs the ARU Centre for Mind and Behaviour and co-leads the MULTAC lab at UCL, fostering interdisciplinary research in cognitive neuroscience and neuropsychology.

Travis WearneView profile

Senior Lecturer

• Traumatic Brain Injury
• Neuropsychology
• Social Cognition
• +4 more

Travis Wearne is a Senior Lecturer at Macquarie University's School of Psychological Sciences and a member of the Lifespan Health and Wellbeing Research Centre. He previously held roles as Senior Lecturer in Clinical Neuropsychology at Western Sydney University (2021–2024) and Research Fellow at the University of New South Wales (2016–2021). He is also a Consultant Neuropsychologist with Legal Psychology Group Australia since November 2017. Dr. Wearne earned a Doctor of Philosophy/Master of Clinical Neuropsychology from Macquarie University in 2015, focusing on 'Inhibitory Regulation of the Prefrontal Cortex in an Animal Model of Methamphetamine Behavioural Sensitization.' His research spans neuropsychology, traumatic brain injury (TBI), social cognition, emotion processing, and addiction. Notable areas include the biopsychosocial impacts of TBI on apathy, aggression, and communication deficits, as well as the neurochemical mechanisms underlying methamphetamine-related psychoses. His recent work emphasizes the assessment of decision-making capacity in older adults, resilience in post-concussive symptom reporting, and interventions targeting social cognition deficits in disorders like hoarding and anorexia nervosa. Collaborations include studies on gender, attitudes, and emotional empathy, funded by projects such as 'Responding to Dementia-Related Assaults: Third Party Reporting.' Dr. Wearne has received prestigious awards, including the Australian Psychological Society's Excellent PhD Thesis Award (2016), the International Neuropsychological Society's Leadership Award (2021), and multiple recognitions for research presentations. His work is widely cited, reflecting contributions to clinical neuropsychology and neurorehabilitation.

• Neuropsychology
• Cognitive Rehabilitation
• Traumatic Brain Injury
• +2 more

Fofi Constantinidou is Professor of Language Disorders and Clinical Neuropsychology at the University of Cyprus, where she directs the Center for Applied Neuroscience (CAN). A certified Speech-Language pathologist (ASHA) and Brain Injury Specialist (BIAA), her research examines neuropsychological outcomes of acquired brain disorders including traumatic brain injury, stroke, and dementia. With over €9 million in research funding, her Neurocognitive Research Laboratory investigates memory, language, and executive function impairments through neurophysiological approaches. Research focuses on three primary domains: Neurorehabilitation protocols for brain injury recovery Longitudinal cognitive aging trajectories Sensory-cognitive interactions in dementia Recent publications emphasize post-COVID cognitive effects (40%), dementia interventions (27%), and neuropsychological assessment innovations (20%). Leads multinational initiatives including SENSE-Cog and BRAINN projects. Served as President of the Cyprus Association of Speech-Language Pathologists and on the Board of Governors of the American Congress of Rehabilitation Medicine. Recognized with the 2013 Distinguished Researcher Award for the NEUROAGE study, Cyprus' first longitudinal cognitive aging research.

• Respiratory Medicine
• Neuroscience
• Transplantation Medicine
• +3 more

Dr. Peter Bell is a Senior Lecturer affiliated with the University of Queensland and Prince Charles Hospital Northside Clinical Unit. His research focuses on respiratory medicine, neuroscience, and transplantation medicine, with a particular emphasis on chronic allograft dysfunction, Parkinson’s disease neural dynamics, and respiratory disease management. He has contributed to landmark studies on biomarker development for transplant outcomes, immune checkpoint inhibitor side effects, and anti-synthetase syndrome in interstitial lung disease. Key research areas include molecular mechanisms in lung transplantation, neuromodulatory systems in cognition, and subcortical contributions to brain network communication. His work bridges clinical practice and basic science, addressing challenges in diagnostic variability, occupational lung diseases, and autoimmune vasculitis. Notable contributions include position statements on hypersensitivity pneumonitis management and pioneering studies on dopamine’s role in Parkinson’s disease motor and cognitive deficits. His publications span high-impact journals such as Nature Neuroscience, Brain, and The Journal of Heart and Lung Transplantation. Peter Bell has collaborated with institutions globally, including the Thoracic Society of Australia and New Zealand, and has been involved in translational research initiatives aimed at improving clinical outcomes through interdisciplinary approaches.

Gregory CoganView profile

Associate Professor

• Human electrophysiology
• Speech perception
• Speech production
• +8 more

Dr. Gregory Cogan is an Associate Professor in Neurology at Duke University, with affiliations in Biomedical Engineering, Psychology & Neuroscience, and Neurosurgery. He directs the Cogan Lab, focusing on speech, language, and cognition using invasive electrophysiological recordings (ECoG, SEEG, µECoG). His research integrates neural signal analysis with clinical applications to improve treatment for neurological disorders like epilepsy. Education: B.A., Queens University (2004); M.Sc., University of Edinburgh (2006); Ph.D., University of Maryland, College Park (2011). Postdoctoral training at Duke University's Department of Biomedical Engineering (2015–2017). Research interests include human electrophysiology, speech perception/production, working memory, and neural decoding. Recent work emphasizes high-resolution neural interfaces for speech prosthetics and understanding sensory-motor integration. His lab collaborates across disciplines, publishing in Nature Communications , Brain , and Neuroimage . Key achievements: Developed flexible thin-film electrodes for neural recordings (2021); demonstrated speech decoding improvements with high-density arrays (2023); explored neural mechanisms linking speech planning and execution (2024).

• Data Mining
• Knowledge Graphs
• Multimodality Foundation Models
• +5 more

Carl Yang is an Assistant Professor in the Department of Computer Science at Emory University since 2020. He holds courtesy appointments as Assistant Professor in the Center for Data Science (Nell Hodgson Woodruff School of Nursing) and the Department of Biostatistics and Bioinformatics (Rollins School of Public Health). His research focuses on data mining, knowledge graphs, and trustworthy AI with applications in healthcare, neuroscience, and biomedicine. He has received prestigious awards including the NSF CAREER Award (2025), NIH K25 Career Award (2023), and the Best Paper Award at ICDM 2020. Yang earned his Ph.D. from the University of Illinois, Urbana-Champaign under Prof. Jiawei Han, and his B.Eng. from Zhejiang University under Prof. Xiaofei He. Yang’s work spans federated learning for graph data, brain network analysis, and healthcare informatics. He leads initiatives like the FedKDD workshop series and co-organized FedGraph conferences. His research is funded by NSF, NIH, Microsoft, and OpenAI. Notable contributions include FedSage (federated graph learning), BrainGB (fMRI analysis benchmark), and KG-LLM co-learning frameworks. He advises multiple Ph.D. students whose work has been recognized with awards such as the MCBIOS Young Scientist Excellence Award and SDM Doctoral Forum honors. Yang’s current projects include NSF-funded research on diabetes heterogeneity and brain graph mining, NIH grants for health informatics, and collaborations with Stanford, Oxford, and NTU. He also serves as a visiting faculty at Google Research/DeepMind (part-time since 2024) and has held visiting roles at Oxford and Zhejiang University.