Find Academic Supervisors

• Co-occurrence of autism and psychosis
• Risk for psychosis and at-risk mental state
• Protective factors for youth wellbeing
• +3 more

Katie Chisholm is Assistant Professor in Clinical Psychology at the University of Sussex's School of Psychology. She holds a BSc in Psychology and Philosophy and an MSc in Memory and its Disorders from the University of Leeds, and a PhD from the University of Birmingham. Previously, she served as Lecturer at Aston University (2019-2024) and Research Fellow at the University of Birmingham (2014-2019). She holds a PGCert and is a Higher Education Academy Fellow. Her research focuses on adolescent mental health, specifically: co-occurrence of autism and psychosis; psychosis risk states; protective factors for youth wellbeing; resilience processes; and neurodiversity. She collaborates extensively with NHS services and schools. Her recent publications demonstrate strong focus on transdiagnostic approaches to early psychosis and depression, neurocognitive trajectories, autism-psychosis overlap validation, and machine learning applications for subtyping mental health conditions. Research frequently involves multinational consortia like PRONIA. She currently supervises PhD students Karin Madericova (neurodiversity outcomes) and Jess Webster (adolescent emotional wellbeing trajectories).

• Addiction Psychology
• Cognitive Neuroscience
• Alcohol Use Disorders
• +4 more

Kyriaki Nikolaou serves as Assistant Professor in Psychology at the University of Sussex's School of Psychology, where she conducts research on the cognitive and neurobiological mechanisms underlying alcohol addiction. Her academic journey includes a PhD in Psychology from Goldsmiths University of London, an MSc in Clinical Neuroscience from UCL, and a BSc in Psychology from Goldsmiths. Her research focuses on cognitive biases toward alcohol-related stimuli, the effects of stress and pharmacological interventions on addiction processes, and the neural mechanisms of cognitive control in substance use disorders. Utilizing cognitive/behavioral approaches, neuroimaging, and pharmacological manipulations, her work has significantly contributed to understanding how genetic variations, stress responses, and noradrenergic systems influence addiction pathways. Nikolaou's publication record demonstrates consistent expertise in alcohol addiction neuroscience, with recent work examining pain perception in binge drinkers, cognitive bias modification techniques, and genetic influences on adolescent reward processing. Her research trajectory shows evolution from fundamental neurocognitive mechanisms to translational applications including pharmacological interventions like Atomoxetine for Alcohol Use Disorders. As an educator, she convenes Biological Psychology and Cognitive Psychology modules while co-convening Psychobiology. Her teaching responsibilities include Cognition in Clinical Contexts and regular student consultation hours. Nikolaou maintains an active research profile through collaborations with the IMAGEN consortium and European Commission Horizon 2020 projects, particularly the Systems biology of Alcohol Addiction initiative.

• Autonomous Sensory Meridian Response (ASMR)
• Interoceptive Awareness
• Sleep Studies
• +4 more

Dr. Giulia Poerio is an Associate Professor in Psychology at the University of Sussex's School of Psychology. She holds a PhD from the University of Sheffield (2015) and has held post-doctoral positions at the Universities of York and Sheffield. Her research focuses on emotion/wellbeing, attention/cognition, sleep variables, and non-universal experiences like ASMR and synesthesia. She employs methods including fMRI, experience-sampling, and wearable technologies to study real-world cognitive dynamics. Education: PhD in Psychology (University of Sheffield, 2015) MRes (University of Sheffield) BA Psychology & Philosophy (University of Sheffield) Research Interests: ASMR, interoceptive awareness, sleep patterns, sensory sensitivity, and neural correlates of thought. She explores these through interdisciplinary approaches, including collaborations with neuroscience and clinical psychology. Recent work highlights ASMR's physiological impacts, neural dynamics during movie-watching, and interoceptive attention's role in mood regulation. Her studies often bridge lab-based and real-world settings, emphasizing dynamic experiences. No scientific awards explicitly listed, but her work has been widely cited and media-covered. She advises students via scheduled Zoom drop-ins and emphasizes public engagement through media outlets like The Conversation. Labs/Teams: Not explicitly mentioned, but collaborations span neuroimaging and interdisciplinary health science projects.

Charlotte RaeView profile

Associate Professor

• Neuroscience
• Environmental Sustainability
• Occupational Wellbeing
• +3 more

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

Eric PetersonView profile

Professor

• Cognitive Neuroscience
• Developmental Psychology
• Child Maltreatment
• +5 more

Eric Peterson is a Professor in the School of Psychological Sciences within the College of Education and Behavioral Sciences at the University of Northern Colorado. He holds a Ph.D. and M.A. from Harvard University and a B.A. from the University of Massachusetts at Amherst, with postdoctoral training in the Department of Psychiatry at the University of Colorado at Denver Health Sciences. Postdoc – Department of Psychiatry, Brain Imaging Center, University of Colorado at Denver Health Sciences Ph.D. – Harvard University M.A. – Harvard University B.A. – University of Massachusetts at Amherst Peterson’s research focuses on cognitive neuroscience, developmental psychology, and autism, with a longitudinal study examining how childhood maltreatment affects college adaptation. His work explores hot and cool executive functioning, PTSD-like symptoms, aggression, and attachment, aiming to inform interventions for trauma-affected students. His research has been featured in Journal of the American Medical Association , Nature Online , and BBC News . His publications highlight interdisciplinary approaches to executive functions, social cognition, and neurodevelopmental disorders. Key themes include cognitive-emotional interactions, neuroimaging in autism, and individual differences in perception. Funding for his research comes from the Avielle Foundation and UNC’s Provost Office. Postdoctoral Training Fellowship, University of Colorado at Denver Health Sciences Peterson teaches courses in cognition, social cognitive neuroscience, child development, and autism. He has received media coverage for his work in the Greeley Tribune and collaborates with Dr. Marilyn Welsh, emphasizing resilience and vulnerability factors in trauma-exposed students.

• MRI/MRS Methodology
• Neurodegenerative Disease Biomarkers
• Advanced Imaging Sequences (UTE, Rosette)
• +3 more

Uzay Emir is a Joint Associate Professor in Radiology at UNC-Chapel Hill, with cross-institutional roles including Principal Investigator at the University of Oxford and prior experience as an Assistant Professor at Purdue University. His research focuses on advancing MRI/MRS methodologies for neurodegenerative disease biomarker discovery, particularly using ultra-short echo time (UTE) and Rosette trajectory-based imaging techniques. Emir's work emphasizes translational applications across preclinical and clinical settings, including 3T to 9.4T field strengths. He pioneered the PETALUTE sequence for accelerated phosphorus spectroscopic imaging and led the multicenter 'Repeat it with me challenge' for test-retest reproducibility in Rosette MRI(S)I. His innovations include density-weighted concentric ring trajectories and 3D Rosette-based methods for brain iron content mapping and myelin fraction analysis. Research interests span neurochemical profiling, metabolic imaging, and functional MRI-fMRS integration at 7T. Education: PhD in imaging modalities (fMRI signal transients), postdoctoral training in MRS methods at the University of Minnesota's Center for Magnetic Resonance Research Key Methods: UTE MRI/MRSI, Rosette trajectory, 31P-MRSI, PETALUTE sequence Key Projects: ME/CFS metabolic studies, lead toxicity neuroimaging, sodium cartilage quantification Research trends in his articles highlight development of novel imaging sequences (e.g., ZTE fMRI, accelerated J-resolved spectroscopy) and their application to neurological disorders. Emphasis on clinical feasibility of 31P-MRS after decades of technical challenges underscores his translational impact. Recent work includes simultaneous multi-slice MRSI and NIfTI-MRS data standardization efforts. His contributions bridge preclinical-clinical research through standardized protocols enabling biomarker validation. Current efforts explore spatiotemporal dynamics of neural networks using integrated fMRI-fMRS approaches.

Carsten AllefeldView profile

Lecturer

• Cognitive Neuroscience
• Statistical Modeling
• Neuroimaging
• +7 more

Dr. Carsten Allefeld is a Lecturer at the Department of Psychology and Neuroscience, City St George's, University of London. With a background in physics (nonlinear dynamics) and philosophy, he develops statistical models and data analysis methods for neuroimaging (EEG, fMRI) and behavioral data. His work bridges concepts from physics, systems theory, and information theory with cognitive neuroscience and psychology, focusing on neural-mental state relationships. Education: Dr. rer. nat. in Physics (University of Potsdam, 2004), M.A. in Philosophy (Freie Universität Berlin) Employment: Lecturer at City St George's (2019–present), Research Associate at Bernstein Center for Computational Neuroscience Berlin (2009–2018) His research emphasizes multivariate pattern analysis (MVPA) techniques, particularly cross-validated MANOVA and permutation-based prevalence inference. He explores how neural states translate into mental states, addressing the mind-body problem through dynamical systems theory. Current work focuses on effect prevalence in cognitive science populations. Key research areas include: Statistical modeling for neuroimaging data Working memory representations Neural encoding-decoding relationships Nonlinear dynamics in brain function Computational methods development Open-source software tools for neuroscience His recent publications (2018–2025) span topics from categorical working memory codes to prevalence inference methods, with a focus on fMRI decoding, representation geometry, and cortical dynamics. He has developed software tools like the CvCrossManova toolbox and interfaces to TikZ for academic use. Dr. Allefeld teaches statistical methods implementation in MATLAB, R, and Python, and maintains a GitHub presence with repositories containing methodological implementations and academic software tools. He is fluent in English and German for research and peer review.

Nick SouterView profile

Research Fellow

• Neuroimaging
• Cognitive Neuroscience
• Climate Action
• +3 more

Nick Souter is a Research Fellow in the School of Psychology at the University of Sussex. His work focuses on neuroimaging techniques, particularly functional magnetic resonance imaging (fMRI), and their environmental impact. He is a core member of the Sussex 4 Day Week team and the Green DiSC initiative, advocating for sustainable research practices. Souter holds a PhD in Cognitive Neuroscience & Neuroimaging from the University of York (2019–2022), an MSc in Applied Neuropsychology from the University of Bristol (2017–2018), and a BSc in Psychology from the University of Bath (2013–2017). His research integrates cognitive neuroscience with environmental sustainability, analyzing how fMRI data processing contributes to carbon emissions and exploring methods to reduce this footprint. He co-authored influential papers on carbon-efficient neuroimaging pipelines and led workshops on sustainable computing in health research. His interdisciplinary approach bridges brain science and climate action, emphasizing the need for ecologically responsible scientific practices. Souter collaborates with institutions like the Wellcome Trust and the University of Cambridge, promoting green algorithms and lab efficiency. He actively engages in public discourse through platforms like Bluesky, emphasizing the urgency of mitigating research’s environmental impact while advancing neuroimaging methodologies.

Linda Larson-PriorView profile

Professor

• Neurobiology
• Developmental Sciences
• Neuroimaging
• +3 more

Linda Larson-Prior is a Professor of Neurobiology and Developmental Sciences, Neurology, Pediatrics, Psychiatry, and Biomedical Informatics at the University of Arkansas for Medical Sciences (UAMS), College of Medicine. She directs the Budding Brain Lab and contributes to the HEALthy Brain and Child Development (HBCD) Study. Her research integrates neuroimaging (EEG, fMRI) to study brain-environment interactions across lifespan, focusing on nutrition, sleep, and Parkinson’s disease. Education: B.A. in Arabic/Anthropology from Ohio State University; M.A. in Physical Anthropology from Case Western Reserve University; Ph.D. in Neurobiology from Kent State University. Research interests emphasize cognitive development in children and adults, with projects addressing how environmental factors like diet and sleep impact brain function. Her work employs 'connectomics' and multidisciplinary teams to study neural networks in health and disease. Key areas include Parkinson’s motor/cognitive decline, pediatric neurodevelopmental norms, and rural healthcare access challenges. Her articles explore neuroimaging tools for disease diagnosis (e.g., voice-based Parkinson’s detection via machine learning), telemedicine for underserved populations, and large-scale brain network analysis. Ongoing projects include the HBCD Study’s EEG protocol development and longitudinal studies on infant neurodevelopment. Labs/Teams: Director of the ACNC Budding Brain Lab; collaborator in Neurocognitive Development Laboratory. Her work bridges clinical research and technology innovation, aiming to improve diagnostic tools and patient care in neurology and pediatric medicine.

Delin SunView profile

Assistant Professor

• Neuroimaging
• Post-Traumatic Stress Disorder (PTSD)
• Mental Disorders
• +3 more

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

Todd GureckisView profile

Research Professor

• Cognitive Science
• Computational Modeling
• Learning and Decision Processes
• +6 more

Todd Gureckis is a Research Professor of Psychology at New York University, affiliated with the Department of Psychology within the College of Arts and Science. His research focuses on understanding how humans learn, make decisions, and uncover environmental regularities through computational modeling. He earned his B.S. in Computer/Electrical Engineering (2001) and M.A./Ph.D. in Psychology (2005) from UT Austin, followed by a postdoc at Indiana University. Since 2008, he has been a faculty member at NYU. **Education**: Ph.D. Psychology, University of Texas at Austin (2005) M.A. Cognitive Psychology, University of Texas at Austin (2004) B.S. Computer/Electrical Engineering, University of Texas at Austin (2001) Postdoc in Cognitive Modeling at Indiana University (2005-2007) **Research Interests**: His work integrates computational models to study learning, memory, and decision-making processes. Key areas include: Computational models of cognition Human-AI interaction and benchmarking (e.g., ARC tasks) Developmental inquiry strategies Neuroscience of vision and decision-making Active learning and educational technology **Publications & Articles**: Recent work explores topics like language model task representations, human performance on visual reasoning benchmarks, and cognitive costs in decision-making. His lab develops tools like psiTurk for online experiments and emphasizes open science practices. **Lab & Collaborations**: He leads the Computation & Cognition Lab at NYU, focusing on interdisciplinary research spanning psychology, AI, and neuroscience. Collaborators include experts in vision science, developmental psychology, and machine learning. The lab actively engages undergraduates and graduate students in projects.

Luisa SartoriView profile

Associate Professor

• Neuroscience
• Motor Control
• Social Cognition
• +3 more

Luisa Sartori is an Associate Professor at the University of Padua, with research focusing on the intersection of neuroscience, motor control, and social cognition. Her work investigates the kinematic and neurophysiological aspects of human action through multidisciplinary approaches. Her research spans corticospinal excitability modulation during action observation, facial expression dynamics, and the neural correlates of social interaction. She has extensively studied reach-to-grasp movements, motor priming, and the impact of social intentions on motor execution. Her publications reveal a strong emphasis on motor cortex function, kinematic analysis of social behaviors, and the neurophysiological basis of complementary actions. She utilizes techniques including transcranial magnetic stimulation (TMS), fMRI, and multimodal movement tracking.

• Biomedical Engineering
• Medical Imaging
• Fluid Dynamics
• +5 more

Dr. Vitaliy Rayz is an Assistant Professor in Biomedical Engineering at Purdue University, with a courtesy appointment in Mechanical Engineering. He is affiliated with the School of Mechanical Engineering in West Lafayette, Indiana. His research focuses on computational fluid dynamics (CFD), medical imaging, and cerebrovascular biomechanics. Dr. Rayz specializes in 4D flow MRI analysis, cerebral aneurysm modeling, and neurofluid dynamics, with applications in neurological disorder detection and medical device design. His work integrates advanced imaging techniques with computational models to study blood flow dynamics, cerebrospinal fluid (CSF) movement, and hemodynamic interactions in the brain. Key research areas include developing physics-guided machine learning algorithms for MRI enhancement, validating ex vivo systems for platelet activation studies, and modeling cardiovascular stress responses in cerebral vasculature. Dr. Rayz has contributed to over 50 peer-reviewed articles since 2011, emphasizing multi-modal approaches to biomedical problems. His recent publications (2021–2025) highlight breakthroughs in 4D flow MRI segmentation, real-time CSF velocity quantification, and Bayesian-based image analysis. He collaborates with clinical partners to translate computational models into clinical diagnostics and therapeutic tools. Notably, his research bridges engineering and medicine, advancing technologies such as filtration devices for chemotherapy toxin removal and augmented reality workflows for CFD visualization. His work is supported by grants focused on cerebral aneurysm risk assessment, neurovascular imaging, and biomedical innovation.

Daouia LarabiView profile

Assistant Professor

• Neuropsychology
• Clinical Neuroimaging
• Neurosciences
• +6 more

Dr. Daouia Larabi is an Assistant Professor at the University of Groningen, affiliated with both the Faculty of Behavioural and Social Sciences and the Faculty of Medical Sciences. She leads the Clinical & Developmental Neuropsychology department and specializes in neuropsychology, clinical neuroimaging, and neurosciences. Her research focuses on brain networks in psychopathology, particularly psychosis, using advanced neuroimaging techniques like fMRI and structural MRI. Her expertise includes multimodal data analysis (resting-state/task-based fMRI, DWI, structural MRI), dynamic connectivity, functional/structural connectomes, and machine learning for brain-behavior predictions. She co-coordinates courses such as Introduction to Clinical Neuropsychology and supervises master thesis students in Clinical Neuropsychology and BCN research programs. She also organizes clinical internship intervision meetings and lectures on fMRI in mental health research. Dr. Larabi's recent publications emphasize the predictive power of individual characteristics over neuroimaging data for behavioral phenotypes, and the optimization of brain state synchronicity for predictive accuracy. She actively participates in academic events, serving on the organizing committees for the Dutch Neuroscience Meeting and the Schizophrenia International Research Society Annual Congress.

• Information Theory
• Machine Learning
• Computational Neuroscience
• +3 more

Dr. James Stone is a Visiting Professor at the School of Computer Science, University of Sheffield. His research focuses on interdisciplinary applications of information theory, machine learning, and computational neuroscience. He has authored numerous books and articles on topics such as Bayesian analysis, neural information processing, and deep learning algorithms. His academic contributions span over two decades, with a strong emphasis on bridging theoretical foundations and practical applications. Key areas include the development of mathematical frameworks for understanding neural systems, optimizing machine learning techniques, and advancing educational resources in computational fields. Stone’s work often integrates methodologies from statistics, signal processing, and quantum mechanics, reflecting his broad expertise. Despite extensive publications, no specific awards or grants are explicitly listed in the provided texts. He maintains an active presence in academic outreach through publications and educational materials.