Find Academic Supervisors

• Neuroscience
• Psychiatry
• Neuroimaging
• +4 more

Dr. Carolyn McNabb is a Lecturer at the School of Psychology, Cardiff University, with a research focus on brain microstructural properties and their relationship to psychiatric disorders. Her work spans structural-functional brain connectivity, treatment resistance in schizophrenia, and pharmacological interventions. Education: PhD (Pharmacy) University of Auckland (2017), MHSc (Experimental Psychology) University of Auckland & University of Cambridge (2012), Postgraduate Diploma University of Auckland (2010) Her research integrates advanced neuroimaging techniques like MRI, MEG, and TMS to study multi-scale brain analysis. Current projects include investigating moral decision-making in virtual reality and improving fMRI preprocessing pipelines. Recent publications examine cerebellar cognition, gestational thyroid impacts on brain development, and sports-related neurotrauma. Key collaborations include institutions like University of Reading (2017-2022) and University of Auckland (2012-2017). 2020 Margaret Mead Award Lecture (British Science Association) She contributes to open science through datasets like WAND and methodological guides for neuroimaging quality control, while maintaining expertise in pharmacology, neuroimaging, and psychiatric research.

• Molecular Biology
• Genetics
• Neuroscience
• +3 more

Dr. Jeffrey Y. Lee is a Researcher at the University of Glasgow , affiliated with the Institute of Molecular Cell and Systems Biology within the College of Medical, Veterinary and Life Sciences. His work focuses on RNA regulation in developmental biology and neuroscience. Institution: University of Glasgow Department: Institute of Molecular Cell and Systems Biology Email: Jeff.Lee@glasgow.ac.uk Research Interests: Dr. Lee investigates RNA-binding proteins (e.g., Imp/IGF2BP and Syp/SYNCRIP) in Drosophila brain development, glial mRNA localization in plasticity, and viral mechanisms in HIV-1 infection. His work bridges molecular biology, genetics, and neurodevelopmental biology. Publication Trends: Recent articles highlight his expertise in RNA interactomes (2025), advanced imaging techniques (2024), and cross-species transcriptomic analysis (2024). Studies span developmental processes, neural plasticity, and virology, with a focus on Drosophila models and HIV-1 dynamics. Advising & Collaborations: While formal student lists are absent, he collaborates with researchers like Dr. Ilan Davis, Maria Kiourlappou, and Rita O. Teodoro on interdisciplinary projects in molecular biosciences.

• Machine Learning
• Deep Learning
• Signal and Image Processing
• +12 more

BOHI Amine is a researcher at CESI (School of Engineering and Digital Tools, Department of Computer Science), with a PhD in Computer Science from the University of Toulon (2017). His academic profile spans disciplines including Machine Learning, Signal and Image Processing, and Biomedical Engineering, with a focus on applications in Digital Health and Human-Robot Interaction. Education : PhD in Computer Science (University of Toulon, 2013-2017); Master 2 in Computer Science (University of Fes, Morocco, 2009-2011); Bachelor’s in Mathematical and Computer Sciences (University of Fes, 2006-2009). His research interests include: Machine Learning and Deep Learning Signal and Image Processing 3D Shape Analysis Computer Vision Digital Health Biomimetic Feature Design BOHI’s publications reflect expertise in facial emotion recognition for elderly care, cortical folding modeling, and soft tissue organ deformation analysis using MRI. He supervises diverse research internships, mentoring students from institutions like Sorbonne Paris Nord, Université de Technologie King Mongkut, and INP Grenoble. Current projects involve developing intelligent solutions for emotional interaction with elderly individuals suffering from neurodegenerative disorders, in collaboration with VyV3 Bourgogne. He also contributes to the design of multimodal datasets and wearable health monitoring systems. BOHI’s technical work includes contributions to maritime surveillance systems (PARE project) and semantic information platforms, demonstrating a capacity to bridge theoretical research with practical applications across domains.

Michele MorningstarView profile

Assistant Professor

• Neurocognitive patterns and neural networks
• Neurodevelopment
• Psychology and cognitive sciences
• +6 more

Michele Morningstar is an Assistant Professor in the Department of Psychology at Queen's University, Faculty of Arts and Science. She serves as Director of the Development of Social and Emotional Communication (DSEC) Lab and holds cross-appointments in the Centre for Neuroscience Studies. Her research examines the biological, cognitive, and social mechanisms underlying emotional communication development from childhood through adolescence. Education: Post-doctoral fellowship in Pediatrics & Neuroscience, Nationwide Children's Hospital & Ohio State University (2020) PhD in Clinical Psychology, McGill University (2017) BA in Psychology, McGill University (2011) Research focuses on neurodevelopment of emotional communication using multimodal methods including functional neuroimaging and vocal analysis. Key interests include: how nonverbal cues (tone of voice, facial expressions) facilitate emotional understanding; neural correlates of social cognition maturation; and relationships between emotional skills, social functioning, and psychological well-being across development. Current projects investigate adolescent neural responses to peer emotions and vocal emotion recognition in clinical populations. Publications show consistent focus on developmental social neuroscience, with recent trends examining: (1) Neural mechanisms of vocal emotion processing in typical and atypical development (2) Social-cognitive changes during adolescence (3) Clinical applications in epilepsy and psychopathology. Work emphasizes multimodal approaches integrating neural, behavioral, and acoustic data. Teaching includes PSYC251: Developmental Psychology. Actively mentors graduate students through the DSEC Lab which employs diverse methodologies to study emotional communication development. Lab research has been funded by Canadian Institutes of Health Research and other national/international agencies.

Xavier De TiègeView profile

Professor

• Functional Neuroimaging
• Presurgical Functional Mapping
• Refractory Focal Epilepsy
• +3 more

Xavier De Tiège is a Professor at Université libre de Bruxelles (ULB) and works at Erasme Hospital, ULB's academic hospital. He serves as Director of the Department of Functional Neuroimaging within the Service of Nuclear Medicine and as a senior researcher at the ULB Neuroscience Institute's Laboratoire de Cartographie fonctionnelle du Cerveau. Professor of Neuroanatomy, ULB Senior Researcher, ULB Neuroscience Institute Director of Functional Neuroimaging Department, Erasme Hospital Member of the UR2NF research lab His research focuses on functional neuroimaging applications for presurgical mapping in refractory focal epilepsy and investigating cortical entrainment through sensory-motor processes and cortico-cortical interactions. Recent work employs multimodal imaging (MEG, fMRI) and computational models to study brain synchronization, language control, and neural plasticity in epilepsy patients. Key publication trends include epilepsy diagnostics , brain connectivity modeling , cognitive neuroimaging , and neurological AI applications . While no specific awards are listed in the provided text, his role as a senior researcher and lab director indicates significant academic contributions. Advises doctoral candidates via collaborative publications Leads multidisciplinary team in UR2NF lab

• Neuroimaging
• Functional Magnetic Resonance Imaging
• Language
• +7 more

Professor Katie McMahon is a leading academic at Queensland University of Technology (QUT), holding dual roles as Deputy Director of the Herston Imaging Research Facility and Academic Lead for Research at the School of Clinical Sciences. With a PhD from the University of Queensland, her expertise spans neuroimaging and cognitive neuroscience. Research Focus: Neurobiology of language, genetics of brain development, and neuroimaging applications in stroke, epilepsy, and pediatric language disorders (e.g., autism). Collaborations: Works with Queensland Health and philanthropic organizations on brain imaging and musculoskeletal studies. Teaching: Contributes to radiation therapy and MR-guided radiation therapy courses, emphasizing clinical sciences education. Recent Research Trends: Her work bridges neuroimaging techniques (fMRI, DTI) with cognitive deficits, exploring lexical processing, aphasia recovery, and genetic influences on brain structure. Recent studies address stroke rehabilitation, epilepsy language deficits, and fatty liver imaging protocols. Grants & Projects: Lead investigator on grants like “Predicting and Promoting Aphasia Recovery” (2016) and “Enhancing Language Learning in Ageing with Exercise” (2016). Labs/Teams: Active in the Herston Imaging Research Facility and National Imaging Facility committees.

Jeff JonesView profile

Assistant Professor

• Neuroscience
• Circadian Rhythms
• Neuroendocrinology
• +3 more

Jeff Jones is an Assistant Professor in the Department of Neuroscience at Texas A&M University. His research focuses on circadian rhythms, particularly investigating how the suprachiasmatic nucleus (SCN) encodes and transmits timing signals to regulate physiological and behavioral outputs. He joined the department in 2021 after completing postdoctoral studies at Stanford University and Washington University. Education B.Sc., Neuroscience, University of Texas at Dallas (2009) M.Sc., Neurobiology and Behavior, Columbia University (2010) Ph.D., Neuroscience, Vanderbilt University (2015) Research Interests His work explores the neural circuits underlying circadian timing, including SCN-VIP neuron signaling, light entrainment mechanisms, and downstream integration of circadian signals with other brain regions. His lab develops optogenetic tools to measure and manipulate circadian rhythms in vivo, aiming to clarify how disruptions in these circuits contribute to metabolic, cardiovascular, and mood disorders. Publications Recent work emphasizes circadian dysfunction in cancer progression, sex-dependent behavioral rhythms, and glucocorticoid regulation by SCN-derived neurons. His methods for phase analysis and behavioral tracking have advanced circadian research methodologies. Labs/Teams The Jones Lab at Texas A&M focuses on decoding how SCN output is translated into diverse daily rhythms via downstream neuronal networks. Current projects investigate circadian-neuropeptide interactions, temporal gene expression coordination, and integrative signaling pathways.

• Cognitive Neuroscience
• Reading Research
• Visual Word Recognition
• +3 more

Manuel Perea Lara is a Professor at the University of Valencia, affiliated with the Faculty of Psychology and Speech Therapy and the Department of Behavioural Science. He leads research at the ERI Reading Research institute and the READit Cognitive Neuroscience and Reading group, focusing on behavioral science methodology in language processing. He obtained his PhD from the University of Valencia in 1993 with a thesis titled Influencia de los factores de vecindad sobre el acceso léxico análisis experimentales y de simulación , supervised by Dr. Arcadio Gotor Sicilia. His research explores cognitive mechanisms in reading, including: Orthographic processing and visual word recognition Cross-linguistic studies of writing systems Eye movement dynamics during reading Development of literacy skills in children Neurocognitive aspects of language in neurodiverse populations Experimental methodologies in psycholinguistics Analysis of his 15 most recent publications (2024-2025) reveals strong emphasis on masked priming paradigms, cross-script comparisons (Arabic, Chinese, Javanese), literacy development interventions, and cognitive processing in autism. The work demonstrates advanced methodological rigor in exploring orthographic encoding, attentional mechanisms, and bilingual language processing. No awards or supervised students are mentioned in available materials. His laboratory conducts innovative research using techniques like event-related potentials (ERPs) and behavioral experiments to investigate reading mechanisms across different populations and writing systems.

Maya YablonskiView profile

Research Fellow

• Neuroimaging
• Developmental Pediatrics
• Cognitive Neuroscience
• +5 more

Maya Yablonski is a Postdoctoral Scholar in Pediatrics at Stanford University, affiliated with the Maternal & Child Health Research Institute (MCHRI). Her research focuses on the neural mechanisms of reading development and disorders, particularly in pediatric populations. She employs advanced neuroimaging techniques like functional MRI and diffusion MRI to study how brain regions such as the inferior frontal cortex and visual word form area (VWFA) contribute to reading proficiency, dyslexia, and neuroplasticity. Her work integrates structural and functional neuroimaging to understand how specific brain regions interact during reading tasks. Notable projects include identifying anatomically distinct regions in the inferior frontal cortex modulated by reading skill and demonstrating that dyslexic individuals often exhibit smaller or absent VWFA regions despite interventions. She has also developed rapid online assessments for reading ability, enabling scalable research into literacy mechanisms. Key collaborations involve Jason Yeatman, contributing to studies on developmental reading circuits and functional connectivity patterns in the ventral temporal cortex. Her research addresses both basic science questions (e.g., neural pathways for morphological processing) and translational goals, such as improving diagnostic tools and interventions for reading disorders.

Jennifer ZukView profile

Assistant Professor

• Developmental Cognitive Neuroscience
• Speech and Language Acquisition
• Neurodevelopmental Disabilities
• +4 more

Jennifer Zuk is an Assistant Professor in the Department of Speech, Language & Hearing Sciences at Boston University. Her research integrates developmental cognitive neuroscience, clinical speech-language pathology, and music cognition to study early childhood factors influencing speech, language, and reading acquisition in neurodevelopmental disabilities. Ph.D., Speech and Hearing Bioscience and Technology, Harvard University Ed.M., Mind, Brain, and Education, Harvard Graduate School of Education B.A., Cognitive Science, Case Western Reserve University B.S., Music Education, Case Western Reserve University Her work employs behavioral and neuroimaging tools (eMRI, fMRI) to examine brain-behavior relationships in children from infancy to school age, focusing on communication disorders, environmental influences (e.g., music), and translational clinical applications. She bridges music cognition and educational interventions to promote inclusive practices. Recent publications highlight her interdisciplinary approach, exploring: Speech timing and white matter organization in autism Prosody production in neurodevelopmental contexts Home literacy/music environments' impact on early language Neural predictors of reading/language outcomes Music-reading skill correlations Developmental resilience mechanisms in dyslexia As a speech-language pathologist, Dr. Zuk emphasizes translating research into clinical practice for improved identification and inclusion of communication disorders.

Riccardo BeltramoView profile

Assistant Professor

• Neuroscience
• Neurophysiology
• Visual Processing
• +3 more

Riccardo Beltramo is an Assistant Professor and University Lecturer in Neurophysiology at the Department of Physiology, Development and Neuroscience, University of Cambridge. As a Sir Henry Dale Fellow, he leads research on neural circuits in visual processing, spatial navigation, and cognitive control. His lab investigates how ancient and modern brain regions like the superior colliculus and visual cortex interact to produce adaptive behaviors. Key techniques include chronic electrophysiology, two-photon imaging, optogenetics, and virtual reality behavioral paradigms, focusing on stress-induced anxiety and sensory processing pathologies. Recent publications highlight studies on tecto-thalamic pathways, somatosensory cortical dynamics, and evolutionary integration of visual systems. His work combines single-cell RNA sequencing, structured illumination, and advanced photonic tools to dissect neural circuitry. Eppendorf & Science Prize (2020) Sir Henry Dale Fellowship Current students include PhD researchers Sally Zeidan and Maja Skretowska. Lab contact: beltramolab@gmail.com

Malavika MuruganView profile

Assistant Professor

• Neuroscience
• Social Behavior
• Neural Circuits
• +2 more

Malavika Murugan is an Assistant Professor in the Department of Biology at Emory University's College of Arts and Sciences. Her research investigates the neural mechanisms underlying social behavior, with particular focus on how the brain processes social information to enable recognition and social decision-making. She directs the Murugan Lab at Rollins Research Center. Murugan's work combines cellular-resolution imaging, optogenetics, electrophysiology, and quantitative behavioral analysis to understand neural circuits for social recognition. Her research examines how brain regions encode social novelty, reward valuation, and group affiliation preferences. Recent studies investigate sex differences in social reward processing and hippocampal-septal pathways regulating social novelty detection. Her laboratory develops automated behavioral assays for social reward-seeking and maps brainwide inputs to behaviorally-relevant circuits. These approaches reveal how interconnected neural systems transform social sensory information into adaptive behaviors. Murugan holds a PhD from Duke University and B.Tech from Vellore Institute of Technology. She teaches neuroscience and biology courses at Emory College.

Mriganka SurView profile

Professor

• Neuroscience
• Cortical Circuits
• Synaptic Plasticity
• +4 more

Dr. Mriganka Sur is the Newton Professor of Neuroscience and Director of the Simons Center for the Social Brain at MIT. He previously served as head of the MIT Department of Brain and Cognitive Sciences for 15 years. His research focuses on the organization, plasticity, and dynamics of the cerebral cortex, employing experimental and theoretical approaches. Key areas include synaptic plasticity mechanisms, cortical circuit development, and neurodevelopmental disorders like Rett syndrome. His lab pioneered imaging techniques to study intact brain circuits and identified gene networks underlying cortical plasticity. Education: B.Tech. in Electrical Engineering from the Indian Institute of Technology, Kanpur (1978), and PhD in Electrical Engineering from Vanderbilt University (1983). Research interests span cortical circuit dynamics, neuromodulation (e.g., noradrenaline signaling), astrocyte-neuron interactions, and translational strategies for neurodevelopmental disorders. Recent work includes discoveries on astrocyte roles in synaptic refinement and the therapeutic potential of IGF-1 for Rett syndrome. Major awards include the Krieg Cortical Discoverer Prize, Royal Society Fellowship, and multiple NIH grants. He has mentored over 80 doctoral students and postdoctoral fellows, recognized for teaching and mentoring excellence. His lab is funded by NIH BRAIN Initiative, Simons Foundation, and other institutions. Labs/Teams: Sur Lab (MIT) focuses on cortical circuits and Rett syndrome mechanisms. He directs the Simons Center for the Social Brain, advancing social neuroscience research.

Hilary RichardsonView profile

Lecturer

• theory of mind
• cognitive development
• social cognitive development
• +3 more

Hilary Richardson is a Lecturer in the Psychology division of the School of Philosophy, Psychology and Language Sciences at the University of Edinburgh, where she joined in August 2020. Her research investigates the relationship between social cognitive development and brain development in childhood using child-friendly neuroimaging methods. Education: PhD in Cognitive Neuroscience, MIT (Department of Brain & Cognitive Sciences, advisor: Dr. Rebecca Saxe) BS in Brain, Behavior, and Cognitive Science, University of Michigan Postdoctoral Research Fellow, Laboratories of Cognitive Neuroscience at Boston Children's Hospital & Harvard Medical School (with Dr. Charles Nelson) Research Focus: Dr. Richardson's work centers on theory of mind development and the emergence of specialized brain regions for social cognition. She examines when specialized neural circuits develop, what computations they perform, how neural changes support cognitive development, and which environmental/genetic factors influence these processes. Her lab employs innovative approaches including naturalistic fMRI paradigms with child-friendly stimuli to study typically and atypically developing children. Publication Trends: Recent work (2019-2024) spans theory of mind in sensory-deprived populations (blind/deaf children), preterm birth effects on brain structure, socioeconomic status interactions, and the development of specialized neural networks for faces/places/objects. She emphasizes open science through shared datasets and reproducible methods. Teaching & Supervision: Dr. Richardson serves as personal tutor for 3rd/4th year undergraduates, runs tutorials for Psych 2 and General Paper Exam, and advises undergraduate/MSc dissertations. She is Course Organiser for Brain Imaging in Cognitive Neuroscience and teaches fNIRS/fMRI modules. She currently supervises PhD student Katie McKinnon. Lab Leadership: She directs the Laboratory for Brain & Cognitive Development (part of Edinburgh's Wee Science group), which actively shares data/stimuli, pre-registers analyses, and investigates brain-cognition relationships in childhood through projects like the Theirworld Edinburgh Birth Cohort.

• Medical Image Analysis
• Machine Learning for Personalised Medicine
• Biomedical Engineering
• +3 more

Gemma Piella Fenoy is a Full Professor at the Universitat Pompeu Fabra (UPF), Department of Engineering. She holds a Telecommunication Engineering degree from the Universitat Politècnica de Catalunya (UPC) and a PhD in Applied Sciences from the Universiteit van Amsterdam. Her career includes postdoctoral research at Télécom Paris (Marie Curie Fellowship) and a Ramón y Cajal Researcher position. She co-founded the SIMBIOsys research group and the Barcelona Center of New Medical Technologies (BCN-MedTech), leading its research in Medical Image Analysis and Machine Learning for Personalized Medicine. Her work bridges theoretical foundations with clinical applications, recognized by awards like the ICREA Academia (2021) and DonaTIC (2022). She is a member of ELLIS and Sigma Xi, and served as co-chair of the Avicenna Alliance's AI Task Force (2023-2024). Research focuses on medical imaging, machine learning in healthcare, fetal MRI analysis, and AI-driven diagnostics. Notable projects include the LiverColor platform for liver graft assessment and BabyFM for 3D fetal facial modeling. Her work emphasizes interdisciplinary collaboration between engineering and clinical medicine, addressing challenges in prenatal care, neurological disorders, and personalized medicine. She actively contributes to global health initiatives and AI ethics in clinical applications. Education PhD in Applied Sciences, Universiteit van Amsterdam (The Netherlands) Telecommunication Engineering Degree, Universitat Politècnica de Catalunya (Spain) Her scientific contributions span over 150 peer-reviewed articles in top journals and conferences, with a focus on medical image analysis, AI in healthcare, and clinical decision support systems. She leads BCN-MedTech, a consolidated research group recognized by the Catalan government, and collaborates with international institutions on AI-driven medical solutions.