Find Academic Supervisors

Patrick MayView profile

Associate Professor

• Neuroscience
• Auditory Neuroscience
• Computational Neuroscience
• +4 more

Dr. Patrick May is a Reader in Neuroscience at Lancaster University, affiliated with Fylde College and the Neuroscience and Neurocognition department. His research focuses on auditory neuroscience, computational modeling of neural systems, and cognitive aging mechanisms. His work integrates neurophysiological techniques like MEG and EEG with computational approaches to understand sensory processing and neurocognitive changes across the lifespan. Key research interests include auditory cortex adaptation, predictive coding frameworks, and the neurobiological basis of cognitive reserve in aging. He explores how brain network dynamics influence verbal fluency and word-finding abilities, particularly in older adults. His computational models of sensory systems aim to bridge anatomical structure and functional response patterns in auditory and visual cortices. Recent studies investigate hemispheric differences in auditory adaptation, optimization of auditory cortex models using evolutionary algorithms, and the role of lifestyle factors in cognitive aging theories such as the Scaffolding Theory. His work has been published in journals like Hearing Research , Neurobiology of Language , and PLoS ONE . He collaborates on interdisciplinary projects analyzing functional brain connectivity and EEG/MEG data, contributing to both theoretical neuroscience and applied aging research. While no formal awards are listed, his extensive publication record reflects sustained academic engagement in these domains.

Margaret MooreView profile

Research Fellow

• Neuroscience
• Cognitive Neuroscience
• Stroke Rehabilitation
• +4 more

Dr. Margaret Moore is an ARC Research Fellow at the Queensland Brain Institute, The University of Queensland. Her research focuses on understanding the neural mechanisms underlying cognitive impairments post-stroke, particularly visuospatial neglect and related reading disorders. She employs advanced lesion-mapping techniques and neuroimaging analyses to link anatomical damage to functional deficits. Key areas include domain-specific cognitive impairments, recovery trajectories, and the development of clinical screening tools. Her work bridges neuroscience and clinical practice, emphasizing methodological rigor in lesion-symptom mapping. Her investigations integrate CT/MRI neuroimaging with behavioral assessments, aiming to improve early detection and targeted rehabilitation strategies. Notable contributions include studies on right/left hemispheric lesion differences, automated scoring programs for cognitive tasks, and guidelines for stroke-related neglect screening. Collaborations with international researchers enhance her interdisciplinary approach to advancing neurological care. Research themes include: - Lesion mapping methodologies and their clinical applications - Post-stroke cognitive recovery and rehabilitation - Neglect dyslexia and reading impairments - Neuroimaging biomarkers for cognitive deficits Publications highlight methodological innovations in analyzing CT/MRI data alongside behavioral outcomes, emphasizing translational impact for stroke survivors.

• Obsessive-Compulsive Disorder
• Cognitive Neuroscience
• Neuroimaging
• +4 more

Dr. Paula Banca is a Wellcome Trust Fellow at the Department of Psychology, University of Cambridge, where she conducts cutting-edge research on obsessive-compulsive disorder (OCD) and compulsive behaviors. Her work bridges cognitive neuroscience, clinical psychology, and digital health interventions to understand and treat compulsive disorders. Dr. Banca's primary research interests include: Neurochemical mechanisms of OCD using advanced neuroimaging techniques like 7T Magnetic Resonance Spectroscopy Habit formation and automaticity processes in compulsive disorders Development and evaluation of digital therapeutic tools, particularly smartphone applications for habit reversal Decision-making processes and cognitive control in OCD Neural circuitry underlying compulsivity across different disorders Analysis of Dr. Banca's publication record reveals a consistent focus on the neurobiological underpinnings of compulsive behaviors, with increasing emphasis on translational applications. Her recent work demonstrates how glutamate and GABA systems relate to compulsive symptoms, while also pioneering smartphone-based interventions that target habit formation processes in OCD treatment. She has made significant contributions to understanding the relationship between neurochemistry, neural circuitry, and clinical symptoms in compulsive disorders. Dr. Banca's research has been recognized through a prestigious Wellcome Trust Fellowship, which supports her innovative work at the intersection of neuroscience and clinical psychology.

Todd McElroyView profile

Associate Professor

• Social Psychology
• Decision-Making
• Cognitive Psychology
• +2 more

Dr. Todd McElroy is an Associate Professor in the Department of Psychology at Florida Gulf Coast University (FGCU), specializing in Social Psychology and decision-making processes. His research examines how psychological mechanisms influence physical activity, decision framing, and cognitive biases, with a focus on sleep restriction, circadian rhythms, and behavioral economics. His work bridges cognitive neuroscience, health psychology, and social cognition. McElroy's research on decision-making explores theories like Prospect Theory and Fuzzy-Trace Theory, analyzing how affective valence, working memory, and temporal framing affect choices. His studies on sleep investigate its role in regulating physical activity, social decision-making, and cognitive efficiency, revealing how sleep deprivation amplifies biases and alters behavior. Recent work includes the cognitive impacts of glucose administration and smartphone dependency on happiness. His publications span topics such as memory distortions, regret theory, and hemispheric activation in decision-making. While no specific awards are mentioned in the provided text, his contributions to understanding the interplay between cognition, sleep, and behavior are evident through empirical studies and theoretical frameworks. McElroy's work emphasizes practical applications for health, productivity, and behavioral interventions.

• Neurodegenerative Diseases
• Alzheimer's Disease
• Parkinson's Disease
• +5 more

Professor David Brooks is a leading academic at Newcastle University, specializing in neurodegenerative diseases with a focus on Alzheimer’s and Parkinson’s disease. His work integrates advanced neuroimaging techniques like PET and MRI to study molecular, vascular, and synaptic changes in neurodegenerative disorders. He leads multidisciplinary research into biomarker development, disease progression mechanisms, and therapeutic interventions. His research emphasizes the interplay between neuroinflammation, amyloid pathology, and cholinergic dysfunction. Key areas include early detection of Alzheimer’s via cerebral blood flow and amyloid imaging, and understanding Parkinson’s disease heterogeneity through noradrenergic and dopaminergic subtyping. Brooks collaborates extensively with institutions worldwide, contributing to clinical trials like the Cinpanemab study and the ELAD trial investigating GLP-1 analogues for Alzheimer’s. His work also explores exercise’s neuroprotective effects and animal models (e.g., minipigs) for translational research.

Tyler SantanderView profile

Research Fellow

• Cognitive Neuroscience
• Behavioral Neuroscience
• Epigenetics
• +6 more

Tyler Santander is a Research Fellow at the University of California, Santa Barbara (UCSB), affiliated with the College of Letters & Science. His work focuses on understanding inter-individual variability in behavioral phenotypes through molecular and cortical-level analyses of brain systems. He holds a B.A. in Psychology and Political Science from UCSB (2011) and a Ph.D. in Cognitive Psychology from the University of Virginia (2017). His doctoral research integrated cognitive neuroscience, imaging epigenetics, and machine learning to develop gene-brain-behavior models for social cognition. His research interests span neuroimaging, hormonal influences on brain function, stress physiology, and chronic pain management. Notable themes in his work include the impact of hormones (e.g., progesterone, testosterone) on brain networks, resilience to stress, and methodological innovations in neuroimaging techniques. He has explored topics such as callosal fiber dynamics, menstrual cycle effects on brain connectivity, and the application of biofeedback for pain reduction. Recent studies highlight his focus on dynamic brain networks, including how diurnal steroid fluctuations and menstrual cycles reorganize functional connectivity. He has also contributed to interdisciplinary work on code-writing neural correlates and gender bias in code review using neuroimaging. Tyler collaborates with labs such as the Goard Lab (noted for hormone-mediated dendritic growth studies) and has pioneered methods like dynamic phase extraction for pulse rate variability analysis. His work bridges clinical, computational, and basic neuroscience approaches to address individual variability in cognition and behavior.

Michael MillerView profile

Professor

• Cognitive Neuroscience
• Human Memory
• Decision-Making
• +5 more

Professor Michael Miller is a faculty member in the Department of Psychological & Brain Sciences at the University of California, Santa Barbara, and serves as Dean of Undergraduate Education. He earned his BA in Psychology from San Francisco State University (1994) and Ph.D. in Cognitive Neuroscience from Dartmouth College (1998). As vice director of the Sage Center for the Study of the Mind and editor of The Year in Cognitive Neuroscience , he leads initiatives in cognitive neuroscience research. Education B.A. in Psychology, San Francisco State University (1994) Ph.D. in Cognitive Neuroscience, Dartmouth College (1998) His research investigates psychological and neural mechanisms of human memory, decision-making, and individual differences using techniques like fMRI, EEG, TMS, tDCS, and split-brain patient studies. Key themes include criterion shifting in recognition memory, functional brain network reorganization, and the role of hormones in cognition. His lab has contributed to understanding the neural basis of metacognitive confidence, adaptive decision-making, and the interplay between stress and cognitive control. Recent publications emphasize optimizing neurostimulation methods (tDCS), callosotomy effects, and decision criterion dynamics. The Miller Memory Lab collaborates with institutions like Cedars-Sinai Medical Center and participates in multidisciplinary projects such as the Rapid Adaptive Decision-making and Recovery from Stress (RADARS) grant through the Institute for Collaborative Biotechnologies. Scientific Awards Achievement Award for College Scientists (during doctoral training) Current lab members include graduate students (Selin Bekir, Courtney Durdle, Henri Skinner, Luna Li, Sara Leslie), project scientists (Tyler Santander), postdoctoral fellows (Evan Layher), and visiting scholars (Christina Boardman). Former students include faculty members (Benjamin O. Turner, Justin Kantner), industry professionals (Craig Bennett, Scott Guerin), and researchers in academia (Elissa Aminoff, Amy Frithsen).

Rachel HullView profile

Senior Lecturer

• Cognitive Neuroscience
• Psycholinguistics
• Bilingualism
• +3 more

Rachel Hull is a Senior Lecturer at Texas A&M University's Department of Psychological and Brain Sciences , specializing in cognitive neuroscience and psycholinguistics. Her work bridges bilingualism, neuroimaging, and developmental psychology. Research Focus: Bilingual language processing, infant speech perception, executive function, and humor comprehension. Methodology: Uses neuroimaging (fNIRS) and structural equation modeling to study neural correlates of cognition. Publications Overview Her research across 2001-2017 reveals persistent exploration of hemispheric specialization in bilinguals, developmental neuroplasticity in infants, and cognitive mechanisms in humor and executive function. Key trends include longitudinal studies of language acquisition and comparative analyses of native/non-native speech processing. Technical Contributions Early work (1988) on heteroepitaxy on silicon demonstrates interdisciplinary expertise in materials science, though later career focuses entirely on psychological research.

David PitcherView profile

Senior Lecturer

• Cognitive Neuroscience
• Visual System
• Social Perception
• +3 more

David Pitcher is a Senior Lecturer (Associate Professor) in Psychology at the University of York since 2020, with previous roles including Lecturer (2015–2020) and Research Fellow at the National Institute of Mental Health (2011–2015). He holds a PhD from University College London (2009) and degrees from the University of York (BSc 1994, MSc 2006). His research focuses on the cortical mechanisms of face perception and social cognition, using transcranial magnetic stimulation (TMS), fMRI, and neuropsychological patient data. He leads the Pitcher Lab in the Department of Psychology, exploring the Third Visual Pathway’s role in social perception and has received grants such as the BBSRC New Investigator Grant (2017–2021) and SFARI Explorer Award (2016–2017). His work bridges cognitive neuroscience with clinical applications, investigating disorders like prosopagnosia. Teaching includes modules on clinical neuroscience and depression neurobiology. Education: B.Sc. Psychology, University of York (1991–1994) M.Sc., University of York (2005–2006) Ph.D. Psychology, University College London (2006–2009) Research Interests: Cognitive neuroscience of face perception Third Visual Pathway for social perception TMS and fMRI in studying brain connectivity Grants: BBSRC New Investigator Grant (£457,016; 2017–2021) SFARI Explorer Award ($58,036; 2016–2017) Labs/Teams: Pitcher Lab, University of York Psychology Department

Jan KujalaView profile

Professor

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging
• +8 more

Professor Jan Kujala is a full professor of brain development at the University of Jyväskylä, Department of Psychology, within the Faculty of Education and Psychology. He earned his Ph.D. from Helsinki University of Technology in 2008 and joined the University of Jyväskylä in 2019. His research focuses on neural mechanisms underlying human cognition, behavior, and development, leveraging advanced neuroimaging techniques like magnetoencephalography (MEG) and computational analysis. His research interests include understanding how neural activity and connectivity form adaptive systems, particularly in healthy individuals across the lifespan and clinical populations. Key areas include oscillatory activity, cortico-cortical connectivity, and links between neural processes and behavior. He leads the Neural Processes and Connectivity group and is part of the Centre of Excellence for Learning Dynamics and Intervention Research InterLearn. Recent work highlights studies on breathing’s neural modulation, abstract concept processing via MEG, and test-retest reliability of language-related brain connectivity. His 2024 and 2025 publications explore dog-human interaction physiology, empathy’s role in neurophysiological decoding, and GABAergic inhibition in visual memory. He also investigates sensorimotor beta oscillations’ heritability and the neural underpinnings of reading and executive functions in aging. His research emphasizes methodological advancements in MEG and EEG, particularly in connectivity analysis and artifact removal. Collaborative projects include interdisciplinary studies on human-animal interactions, brain plasticity, and clinical applications like stroke and Parkinson’s disease.

John GabrieliView profile

Professor

• Neuroscience
• Educational Neuroscience
• Developmental Psychology
• +8 more

John Gabrieli is a Grover Hermann Professor of Health Sciences and Technology and Professor of Brain and Cognitive Sciences at MIT. He leads the Gabrieli Lab, focusing on understanding how the human brain supports learning, cognition, and emotion through neuroimaging and behavioral studies. His roles include Director of the Athinoula A. Martinos Imaging Center and the MIT Integrated Learning Initiative (MITili), and Core Faculty at the Institute for Medical Engineering and Science. His work spans developmental neuroscience, personalized medicine, and neurodiversity, with a focus on translating findings into educational and clinical practices. Directorships: Martinos Imaging Center, MITili Core Faculty: IMES Research Interests: Neural basis of learning in children , including reading difficulties and early interventions; personalized medicine via neuroimaging for depression and anxiety; autism and neurodiversity; mindfulness and its cognitive benefits. His lab explores brain networks for language, emotion regulation, and social cognition. Recent work highlights socioeconomic disparities in learning, speech timing in autism, and machine learning for therapy prediction. He collaborates across disciplines to advance neuroscience applications in education and mental health. Awards: While no specific awards are listed, his contributions have earned recognition through MIT and academic leadership roles. Grants & Advising: Extensive NIH-funded projects on developmental disorders and neuroimaging techniques. Advises on educational policies and tech interventions for at-risk learners. Labs/Teams: Gabrieli Lab, MITili, and collaborations with Harvard and Boston-area institutions. Research emphasizes translational science bridging basic neuroscience and real-world applications.

Malte MohmeView profile

Senior Lecturer

• Neurosurgery
• Neuro-oncology
• Tumor Immunology
• +9 more

Malte Mohme is a Senior Physician and Head of the Working Group for CNS Tumor Immunology at the Department of Neurosurgery, University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Faculty of Medicine at the University of Hamburg. He holds the academic rank of Privatdozent (Senior Lecturer) and is a certified Medical Specialist in Neurosurgery with additional certification in Special Neurosurgical Oncology (NCA). Institution: University Medical Center Hamburg-Eppendorf (UKE) School: Faculty of Medicine Department: Department of Neurosurgery Role: Senior Physician, Head of Working Group Email: m.mohme@uke.de Dr. Mohme completed his medical training and habilitation with summa cum laude on T-cell immunology in multiple sclerosis. His research is centered on tumor immunology in central nervous system malignancies, particularly gliomas and brain metastases. He investigates immune escape mechanisms, T-cell responses, circulating tumor cells, and DNA methylation-based tumor classification. His work bridges clinical neurosurgery and translational immunology. His recent publications highlight a strong trend in neuro-immuno-oncology , with a focus on immune microenvironment profiling , liquid biopsy , epigenetic signatures , and personalized immunotherapy in brain tumors. Articles span high-impact journals such as Nature , Nature Medicine , Neuro-Oncology , and Clinical Cancer Research , demonstrating consistent contributions to understanding glioma biology and immunotherapy resistance. His scientific awards include: Hubertus Wald Young Investigators Award (2016) Hamburger Krebsforschungspreis (2019) Vortragspreis der Deutschen Wirbelsäulengesellschaft (2016) Alumnus of Studienstiftung des deutschen Volkes Dr. Mohme has secured research funding from major institutions including the German Research Foundation (DFG) , Else Kröner-Fresenius Stiftung , Wilhelm Sander Stiftung , and Rudolf Bartling Stiftung . He has been involved in international collaborations with institutions such as Johns Hopkins Hospital, Universitätsspital Zürich, and Duke University. He leads a research group and mentors students and junior researchers in neuro-oncology. His clinical and research work is embedded within the Head and Neurocenter at UKE, a leading interdisciplinary center for neurological diseases.

Tirso RJ Gonzalez AlamView profile

Lecturer

• Semantic Cognition
• Hemispheric Differences
• Neuroimaging (fMRI/TMS)
• +3 more

Dr. Tirso RJ Gonzalez Alam is a Lecturer in Psychology at Bangor University, UK. He works within the Controlled Semantic Cognition (CSC) Framework to understand cortical network organization and semantic cognition mechanisms, collaborating with Professor Beth Jefferies. Education: PhD in Cognitive Neuroscience (University of York, 2020), MSc in Clinical Neuropsychology (National Autonomous University of Mexico, 2011), BSc in Psychology (Anahuac Mayab University, 2005) Research Focus: Hemispheric differences in semantic cognition, intrinsic connectivity gradients, and interactions between control networks and default mode networks during complex semantic processing (metaphors, jokes, discourse comprehension). Methodologies include fMRI (task-based, resting-state, DTI), TMS, and multivariate analyses. Recent Article Trends: 2025 studies explore Visual-default network pathways in semantic processing Whole-brain gradients for language representation Cortical dissociation in metaphor comprehension 2024 work emphasizes Temporal lobe semantic gradients Contextual bias in word representations Scientific Contributions: UK Global Talent Visa (2021) ERC-funded FLEXSEM-771863 project Collaborations: Research with institutions in Mexico, UK, France, and Canada. Invited keynote at Anahuac University (2024). Supervision of 10 PhD students during York tenure.

Mike MillerView profile

Professor

• Cognitive Neuroscience
• Human Memory
• Decision-Making
• +6 more

Mike Miller is a Professor and Dean of Undergraduate Education at the University of California, Santa Barbara (UCSB), within the Department of Psychological & Brain Sciences. He holds a BA from San Francisco State University (1994) and a PhD in Cognitive Neuroscience from Dartmouth College (1998). Since 2002, he has been a faculty member at UCSB, previously serving as an Assistant Professor at the University of Massachusetts Boston (1999–2002). His research focuses on the neural and psychological mechanisms of human memory, decision-making, and individual differences, employing techniques like fMRI, EEG, TMS, split-brain studies, and signal detection analysis. He is Vice Director of the Sage Center for the Study of the Mind and Editor of The Year in Cognitive Neuroscience . Key research themes include criterion shifting in recognition memory, parietal lobe contributions to memory, and the implications of split-brain studies for understanding hemispheric function. His work emphasizes individual variability in neural activity patterns, aiming to understand how these relate to cognitive processes. Notable contributions include critiques of fMRI methodology regarding statistical reliability and sample size requirements. Dr. Miller has mentored numerous graduate students and postdocs, many of whom hold academic or industry positions. His lab has presented at major conferences such as the Cognitive Neuroscience Society (CNS), Society for Neuroscience (SfN), and Psychonomic Society. He has also contributed to public science through media appearances, including a featured segment on PBS NOVA's 50th-anniversary episode. Scientific awards include the Achievement Award for College Scientists during his doctoral training. Current roles include leadership in interdisciplinary initiatives like the RADARS project (Institute for Collaborative Biotechnologies) studying decision-making under stress. The Miller Lab's research is supported by grants and collaborations with institutions like Cedars-Sinai Medical Center and the University of Virginia.

Silvia Francesca StortiView profile

Professor

• Artificial Intelligence
• Machine Learning
• Brain-Computer Interface
• +2 more

Prof. Silvia Francesca Storti is a faculty member at the Department of Computer Science , University of Verona , Italy. Her research spans interdisciplinary domains at the intersection of Computer Science and Neuroscience , with a focus on Brain-Computer Interfaces , Machine Learning , and Multimodal Functional Imaging . Recent publications highlight her work in: Predictive modeling of human vigilance in Industry 5.0 environments (2025) Functional connectivity analysis in Alzheimer's disease (2024) Safety-critical systems in Industry 4.0 (2024) Neurophysiological risks in professional divers (2024) Hemispheric differences in visual cortex stimulation (2023) Her research explores both theoretical and applied aspects of neural network dynamics, cortical connectivity inference, and safety-optimized human-machine interaction.