Subcortical structures Professors and Supervisors | ApplySharif

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Christopher ConwayView profile

Associate Professor

Fordham UniversityUnited States

Christopher Conway serves as Associate Professor of Psychology at Fordham University's College of Arts and Sciences, where he directs the Bronx Personality (B-PER) Lab. His research investigates borderline personality disorder, anxiety, depression, and distress tolerance using experience sampling methods and longitudinal designs. The lab examines personality development across key transitions such as romantic breakups and financial strain. 2007 BS in Psychology and Spanish, Duke University 2009 MA in Clinical Psychology, University of California, Los Angeles 2013 PhD in Clinical Psychology, University of California, Los Angeles Conway's work centers on distress tolerance as a protective factor against self-injurious behaviors, momentary personality processes using ecological assessment, and the HiTOP consortium 's dimensional classification of psychopathology. His lab develops quantitative models linking personality dimensions to clinical outcomes, with emphasis on how stressors trigger symptom changes. Recent publications reveal neuroticism's specific association with broadband internalizing symptoms rather than narrowband anxiety or anhedonia. His publications demonstrate consistent focus on transdiagnostic mechanisms and dimensional classification systems . Key trends include validating the HiTOP framework across cultures, examining distress tolerance in substance use contexts across four continents, and developing within-person models of self-injury using registered report methodology. Professional affiliations include: Society for Research on Psychopathology Association for Psychological Science Association for Behavioral and Cognitive Therapies Association for Research in Personality Conway advises multiple graduate students in the B-PER Lab and leads several active studies including MOMENT (Measuring Our Momentary Emotions and Negative Thoughts), DENEM (Daily Experiences of Negative Emotions), and READI (Responses to Emotions And Daily Interactions). His lab participates in the multinational Cross-cultural Addictive Behaviors Study examining distress tolerance across seven countries. All research materials follow open science principles through his OSF repository. The B-PER Lab maintains active research programs examining personality development through: 3-year longitudinal Multiyear Adult Personality Project (MAPP) Cross-cultural Addictive Behaviors Study (CABS) Daily emotion regulation projects using smartphone-based assessments

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Timothy H. MurphyView profile

Professor

University of British ColumbiaCanada

Dr. Timothy H. Murphy is a Professor in the Department of Psychiatry at the University of British Columbia's Faculty of Medicine. He is also an Associate Member of the School for Biomedical Engineering and a Member of the Djavad Mowafaghian Centre for Brain Health. Dr. Murphy leads the Dynamic Brain Circuits in Health and Disease initiative and the Division of Neuroscience and Translational Psychiatry at UBC. Dr. Murphy received his Ph.D. from Johns Hopkins University in 1989 and his B.Sc. from Saint Mary's College Maryland in 1984. His research focuses on understanding brain circuit structure-function relationships in relation to stroke recovery, psychiatric disorders, and neurological diseases. He specializes in mesoscale imaging techniques to study cortical activity patterns and develop automated approaches for brain imaging and stimulation. His laboratory develops innovative tools including open-source hardware for automated mouse brain imaging, synthetic data generation for behavioral analysis, and chronic recording systems that enable simultaneous mesoscale cortical imaging with subcortical or peripheral nerve activity monitoring. Research from the Murphy Lab has significantly advanced our understanding of how brain circuits reorganize after stroke and in models of psychiatric disorders. Dr. Murphy's recent publications reveal trends in mesoscale cortical imaging, development of synthetic data for behavioral analysis, and exploration of circuit-level changes in neurological and psychiatric disease models. His work bridges basic neuroscience with potential clinical applications for stroke recovery and mental health treatments. Dr. Murphy has mentored numerous students and postdoctoral fellows who have gone on to successful careers in neuroscience and related fields. His laboratory has received funding to support innovative approaches to understanding brain circuit function and recovery mechanisms. The Murphy Lab maintains strong collaborative ties across UBC and develops open-source tools that are widely adopted by the neuroscience community. Their work on automated home-cage imaging systems, synthetic behavioral data generation, and chronic recording technologies represents significant methodological advances in the field.

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Martin M. MontiView profile

Professor

University of California, Los AngelesUnited States

Martin M. Monti is a Professor of Psychology, Neurosurgery, and Psychiatry and Biobehavioral Sciences at the University of California Los Angeles (UCLA), affiliated with the College of Letters and Science. His research focuses on disorders of consciousness, traumatic brain injury (TBI), neuroimaging, and cognitive neuroscience. He holds an MA and PhD in Psychology & Neuroscience from Princeton University (2006–2007) and a BA in Economics from Università Commerciale L. Bocconi (2002). Key research interests include understanding consciousness recovery mechanisms, neuroimaging techniques for TBI assessment, and neuromodulation therapies. Recent work explores subcortical correlates of sleep quality, AI-driven models of consciousness, and transcranial focused ultrasound applications. Monti has received prestigious awards, including the UCLA Life Science Faculty Award (2020, 2014) and the International Prize Giuseppe Sciacca for Medical Research (2018). He leads interdisciplinary projects through collaborations like the ENIGMA working group and the Curing Coma Campaign, advancing global neuroimaging standards and translational research.

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Helen BlankView profile

Professor

University Medical Center Hamburg-EppendorfGermany

Prof. Helen Blank is a Professor leading the Multisensory Perception Group and the Prediction in Communication Lab at the Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf. Her work focuses on understanding how sensory information is integrated and predicted in contexts like speech perception and face recognition. She holds a Marie Curie Fellowship for her research on prior information's role in human communication. Fluent in German, English, and French, she contributes to experimental medicine and systems neuroscience. Her research spans predictive coding, neuroimaging, and clinical applications in Parkinson’s and developmental disorders. Education: Not explicitly stated in text, inferred as advanced degrees in neuroscience or related fields. Her research interests emphasize multisensory integration, predictive processing in speech and vision, and the neural bases of perception. Recent articles explore topics such as pupil responses to auditory surprise, face expectation hierarchies, and audio-visual speech processing. Awards include the Marie Curie Fellowship supporting her predictive communication work. She leads interdisciplinary teams within the Center for Experimental Medicine, advancing knowledge on perceptual mechanisms and their clinical implications.

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Daan van RooijView profile

Assistant Professor

Utrecht UniversityNetherlands

Dr. Daan van Rooij serves as an Assistant Professor in the Department of Experimental Psychology at Utrecht University's Faculty of Social and Behavioural Sciences. His academic work is centered within the Helmholtz Institute Experimental Psychology research program under Chair Kenemans. His research expertise spans Cognitive Neuroscience, Functional Magnetic Resonance Imaging, Psychology, Disruptive Behaviour Disorders (specifically ADHD, ODD, CD), Cognitive Development, and Artificial Intelligence. Van Rooij employs fMRI and EEG imaging metrics to study brain development during childhood and adolescence, with particular focus on understanding how biological and environmental factors shape the development of impulsive behavior in youth. His scholarly publications demonstrate strong contributions to autism research, ADHD symptomology, and the genetic architecture of brain structures, with work appearing in high-impact journals including Molecular Autism, NeuroImage: Clinical, and Nature Genetics. Dr. van Rooij teaches various courses within the bachelor and master programs of Applied Cognitive Psychology, as well as AI bachelor and master tracks at Utrecht University, including courses such as 'Artificial Intelligence for an Open Society' and 'Experimentele methoden en statistiek' (Experimental Methods and Statistics).

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Saud AlhusainiView profile

Assistant Professor

Brown UniversityUnited States

Saud Alhusaini MD PhD is an Assistant Professor of Neurology at the Warren Alpert Medical School of Brown University and serves as a Neurologist/Movement Disorders Specialist at Rhode Island Hospital. His research integrates imaging genomics and multimodal brain imaging approaches to investigate neurological disorders including Parkinson's disease, essential tremor, and epilepsy. He is affiliated with the Carney Institute for Brain Science and collaborates extensively with clinicians, geneticists, electrophysiologists, MRI specialists, neuropsychologists, and data scientists. Education: PhD from the Royal College of Surgeons in Ireland (RCSI) MSc in Neuroscience from Trinity College Dublin MD from University of Dublin, School of Medicine Adult neurology residency at McGill University/Montreal Neurological Institute Clinical research fellowship at Yale School of Medicine Clinical fellowship at Stanford University Medical Center Dr. Alhusaini's research focuses on identifying key endophenotypes and subclinical biomarkers to elucidate the underlying mechanisms of complex neurological conditions. His work spans multiple areas including movement disorders, epilepsy, and brain structure genetics. He has made significant contributions to understanding the genetic architecture of brain structures through his involvement with the ENIGMA consortium, which conducts large-scale collaborative analyses of neuroimaging and genetic data across institutions worldwide. An analysis of his publication record reveals a consistent pattern of high-impact research at the intersection of neurology, genetics, and advanced imaging techniques. His recent work demonstrates particular expertise in Parkinson's disease genetics, epilepsy network analysis, and movement disorder diagnostics. The breadth of his research, spanning from basic genetic mechanisms to clinical applications, highlights his comprehensive approach to understanding neurological disorders. Dr. Alhusaini has received funding from the Rhode Island Research Foundation, Brown Physicians, Inc., and Advance RI-CTR to support his research initiatives. His collaborative approach is evident through his numerous multi-institutional projects and extensive co-author network across Brown University departments including Neurology, Neurosurgery, and Pathology and Laboratory Medicine.

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Tiffany HoView profile

Assistant Professor

University of California, Los AngelesUnited States

Dr. Tiffany Ho is an Assistant Professor in the Department of Psychology at the University of California, Los Angeles (UCLA). She is also affiliated with the Cognition, Affect, and Neurodevelopment in Youth (CANDY) lab, where she leads research on adolescent neurodevelopment, depression, and the neurobiological impacts of early adversity. Her work integrates neuroimaging, psychophysiology, and immunology to understand how stress and adversity shape brain circuits underlying emotion and behavior during adolescence. Education: Ph.D. in Psychology, University of California, San Diego B.A. in Cognitive Science, University of California, Berkeley Postdoctoral Fellowship in Clinical Neuroscience, University of California, San Francisco Postdoctoral Training in Affective Science, Stanford University Research Interests: Dr. Ho’s research focuses on understanding how brain circuits underlying thoughts, emotions, and behaviors change during adolescent development. She investigates how experiences of adversity and perceptions of stress shape neurodevelopment, and how these changes impact the etiology, course, and treatment of depression. Her lab uses a multimodal approach, including behavioral, cognitive, endocrine, immune, and neuroimaging techniques, and leverages big data and global initiatives to identify robust brain imaging markers associated with depression and related conditions. Grants and Funding: Her research has been generously funded by the Klingenstein Third Generation Foundation and the National Institute of Mental Health . Publications and Impact: Dr. Ho has published extensively in high-impact journals, with over 100 peer-reviewed articles. Her recent work includes studies on the effects of COVID-19 on adolescent mental health, the role of inflammation in depression, and the use of machine learning to classify major depressive disorder using neuroimaging data. She is also a key contributor to the ENIGMA consortium, a global initiative aimed at understanding brain alterations in psychiatric disorders.

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Andrea FaliniView profile

Professor

Vita-Salute San Raffaele UniversityItaly

Andrea Falini is a Full Professor of Neuroradiology at the Vita-Salute San Raffaele University (School of Medicine). He holds leadership roles including Head of the Neuroradiology Department at the Scientific Institute S. Raffaele Hospital and Head of the Advanced Diagnostic in Neuro-oncology Unit. His career spans clinical, academic, and administrative roles since 1991, with extensive experience in neuroradiology, neuro-oncology, and neuroimaging research. Education: MD (1986, University of Milan), PhD in Neurological Sciences (1989), and specialized training in Neurology and Radiology at leading institutions, including a visiting scholar position at UCSF (1996). Research interests focus on advanced MRI techniques, neuro-oncology, neurodegenerative diseases, and cognitive neuroscience. His work emphasizes functional MRI, diffusion tensor imaging, and clinical applications in glioma management and neurodegenerative disorders. Awarded the 1989 'De Visart' Prize and grants supporting his international collaborations. He has authored 218+ peer-reviewed articles, with an H-index of 40+, and actively contributes to academic committees and international conferences. Leadership roles include Vice-Director of the Neuroscience Division (2014–present) and coordination of the BraiMap Research Program. His academic teaching spans neuroradiology, biomedical engineering, and cognitive neuroscience courses.

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Ismail Ben AyedView profile

Associate Professor

École de Technologie SupérieureCanada

Ismail Ben Ayed is an Associate Professor at École de technologie supérieure (ETS) in Montreal, Canada, holding the ETS Research Chair on Artificial Intelligence in Medical Imaging. His research bridges computer vision, optimization, and medical image analysis to develop advanced algorithms for clinical applications, with particular focus on cardiac and neurological imaging. His research program centers on medical image segmentation using novel optimization techniques, graph-based methods, and deep learning models. He pioneers approaches for handling volumetric bias, shape compactness, and distribution matching in MRI and cardiac imaging, directly addressing clinical challenges in spine labeling, ventricle segmentation, and tumor detection. His work emphasizes mathematical rigor combined with practical medical relevance. Analysis of his 15 most recent publications (2014-2017) reveals dominant themes in medical image segmentation (80% of works), particularly for cardiac MRI (35%) and neurological applications (25%). Key methodological contributions include distributed optimization frameworks (20%), advanced graph cut techniques (30%), and deep learning architectures (25%), published consistently in top-tier venues including CVPR, MICCAI, and TPAMI. His scientific recognition includes: MICCAI travel award (2017) Outstanding Reviewer Award at CVPR (2015) GE innovation award (2010) He actively mentors researchers as evidenced by his recruitment of PhD students and postdocs, with research supported by the ETS Research Chair and multiple patents. His service includes chairing MICCAI 2017/2015 and IPTA 2017, plus continuous program committee roles at CVPR, ICCV, and MICCAI since 2011. Leading the ETS Research Chair on AI in Medical Imaging, he directs a collaborative team working on clinical translation of computer vision techniques. Current projects focus on cardiac motion analysis, brain tumor segmentation, and spine labeling systems with direct applications in radiology workflows.

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Chet C. SherwoodView profile

Professor

George Washington UniversityUnited States

Chet C. Sherwood is a Professor of Anthropology at George Washington University (GW) and a core faculty member of the Center for the Advanced Study of Human Paleobiology (CASHP). He also directs the National Chimpanzee Brain Resource and is affiliated with the GW Mind-Brain Institute. His research focuses on evolutionary neuroscience, particularly brain evolution in primates and other mammals, emphasizing how brain structure relates to behavior, development, and genetics. Education: Ph.D. (2003), M.A. (1998, 1996), and B.A. (1995) from Columbia University, with an additional M.A. from New York University (1996). Teaches courses such as ANTH 1001: Biological Anthropology and ANTH 3413: Evolution of the Human Brain. Research interests include comparative neuroanatomy of the cerebral cortex, human brain evolution relative to other primates, and the molecular and cellular mechanisms underlying cognitive evolution. He explores how brain differences across species correlate with ecological and behavioral traits, leveraging neuroimaging, transcriptomics, and fossil reconstruction techniques. Recent work investigates aging-related brain changes in primates and elephants. Notable achievements include membership in the National Academy of Sciences (2021) and the AAAS Fellowship (2022). His lab’s studies on chimpanzee brain plasticity and the genetic basis of primate cognition have advanced understanding of human uniqueness and shared evolutionary traits. Chet’s interdisciplinary collaborations span paleontology, genomics, and neuroscience, with a focus on bridging evolutionary and medical insights. His leadership in the National Chimpanzee Brain Resource underscores his commitment to advancing comparative neurobiology through resource development and ethical research practices.

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Naftali RazView profile

Professor

Stony Brook UniversityUnited States

Naftali Raz is a Professor of Psychology at Stony Brook University, specializing in Integrative Neuroscience. He holds a Ph.D. from the University of Texas at Austin (1985) and a B.A. from the Hebrew University of Jerusalem (1979). His research focuses on understanding age-related changes in the brain and cognition, particularly exploring metabolic, vascular, and inflammatory risk factors influencing cognitive aging. He employs neuroimaging techniques such as MRI, MRS, and fMRI to study brain structure, function, and metabolism in healthy aging populations. Raz’s research emphasizes the 'FRIENDS' model (Free-Radical Induced Energetic and Neural Decline in Senescence), linking aging to energy production decline. His work includes longitudinal studies on brain atrophy, myelin content, and iron accumulation. He investigates how physiological risk factors like cardiovascular disease and metabolic syndrome impact neurocognitive trajectories. Current grants include NIA funding for neural correlates of cognitive aging and hippocampal glutamate modulation studies. Education: Ph.D. in Psychology, University of Texas at Austin (1985) B.A. in Psychology, Hebrew University, Jerusalem, Israel (1979) Labs/Facilities: Integrative Neuroscience Group, SCAN Center (Stony Brook Advanced Neuroimaging) His publications span over three decades, with recent works on recognition memory strategies, hippocampal subfield analysis, and cerebral blood flow dynamics. Collaborations include multi-institutional projects on neuroimaging protocols and aging mechanisms.

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Kartik SreenivasanView profile

Associate Professor

New York UniversityUnited States

Kartik Sreenivasan is Associate Professor of Psychology and Associate Program Head for Undergraduate Studies in Psychology at New York University Abu Dhabi (NYUAD), with an affiliation in Biology. He is also a Global Network Associate Professor of Psychology, reflecting his role across NYU’s global campuses. His research is centered on the neurobiological basis of working memory and goal-directed cognition. His educational background includes a BA in Psychology from Yale University and a PhD in Neuroscience from the University of Pennsylvania under Dr. Amishi Jha. He completed postdoctoral training at UC Berkeley with Dr. Mark D’Esposito and joined NYUAD in 2014. Sreenivasan’s research focuses on how the brain maintains and manipulates information in working memory. Key interests include dynamic neural coding, feature binding, effective connectivity, and the transformation of memory into action. His lab employs fMRI, MEG, EEG, TMS, and behavioral paradigms to study both healthy and clinical populations. The most recent publications highlight trends in distributed neural systems, phase-coding mechanisms in working memory, and the role of subcortical structures. His work increasingly emphasizes network-level interactions, oscillatory dynamics, and the flexibility of memory representations under interference and attentional demands. Sreenivasan has received no explicitly mentioned scientific awards in the provided text. He actively mentors PhD students (Ying Zhou, Shanshan Li, Hannah Chu) and supervises undergraduate capstone projects. His lab has been supported by institutional funding, though specific grants are not listed. He teaches core courses such as Biopsychology, Cognitive Neuroscience, and Capstone Research in Psychology and Biology. The Sreenivasan Lab at NYUAD is a vibrant research group focused on understanding the neural underpinnings of cognition. It includes postdocs, research assistants, PhD students, and undergraduates, and has produced numerous publications in high-impact journals. The lab investigates topics such as working memory organization, neural connectivity, and the interplay between perception and memory.

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Christian Grefkes-HermannView profile

Professor

Max Planck Institute for Empirical AestheticsGermany

Christian Grefkes-Hermann serves as Professor of Neurology at Goethe University Frankfurt's Faculty of Medicine, based at University Hospital Frankfurt's Center of Neurology and Neurosurgery. His research targets stroke-induced brain network disruptions and develops novel rehabilitation strategies using non-invasive brain stimulation to restore motor function. His work focuses on neural plasticity, brain connectivity, and stroke rehabilitation through multimodal approaches including structural/functional MRI, EEG, transcranial magnetic stimulation (TMS), and machine learning. He investigates how interhemispheric network reorganization enables functional recovery and develops biomarkers for personalized rehabilitation protocols. Analysis of his publication history reveals an evolution from foundational studies on crossmodal processing (2002) to clinical applications in stroke recovery, with recent work emphasizing individualized biomarkers and frontoparietal connectivity as predictors of motor recovery. This trajectory demonstrates a consistent translation of basic neuroscience into clinical neurorehabilitation. Professor Grefkes-Hermann leads a research team within the Center of Neurology and Neurosurgery dedicated to bridging neural network science with practical rehabilitation solutions for stroke survivors, addressing Germany's challenge of 200,000 annual stroke cases where over 50% experience permanent disability.

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Matthew GrilliView profile

Associate Professor

University of ArizonaUnited States

Matthew Grilli is an Associate Professor in the Department of Psychology at the University of Arizona , where he directs the Clinical Program, Neuropsychology Minor, and Human Memory Lab. His research spans the neuropsychology and cognitive neuroscience of autobiographical memory, imagination, and cognitive aging, with a focus on disorders like amnesia and Alzheimer’s disease. His work investigates individual differences in autobiographical thought , the impact of aging on memory specificity, and innovative neuropsychological assessment methods. Recent publications highlight aging-related changes in memory dynamics, brain structure-function relationships, and real-world applications such as phishing vulnerability and bilingualism’s role in cognitive aging. Grilli’s research utilizes naturalistic observation and computational approaches (e.g., latent brain state analysis, large language models) to study memory coherence, emotional simulation, and intergenerational conversations. He is also involved in developing tools like the Phishing Email Suspicion Test (PEST) to assess cognitive mechanisms in aging populations. The Human Memory Lab under his direction explores memory’s intersection with well-being, identity, and brain health, employing multimodal methodologies to address both theoretical and applied questions in cognitive neuroscience.

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Cynthia H.Y. FuView profile

Professor

University of East LondonUnited Kingdom

Professor Cynthia H.Y. Fu is a leading researcher in the Department of Psychology & Human Development at the University of East London's School of Childhood and Social Care. She serves as an Honorary Consultant Psychiatrist at the South London and Maudsley NHS Foundation Trust and holds a Visiting Professor position at the Centre for Affective Disorders, King's College London. Her research focuses on identifying brain regions affected by depression and how they change with various treatments including talking therapies, antidepressant medication, and neurostimulation techniques like transcranial direct current stimulation (tDCS). Professor Fu pioneered work demonstrating that neural activation patterns during sad facial processing can accurately diagnose depression in individual patients and predict treatment response. Her research has direct translational potential in developing biomarkers for diagnosis and prognosis based on brain imaging. Professor Fu's work spans multiple disciplines including affective neuroscience, computational psychiatry, and neuromodulation. Her recent publications reveal strong trends in applying machine learning to neuroimaging data for depression classification, investigating home-based tDCS treatment protocols, and exploring the relationship between physiological markers and psychological states in real-world contexts like driving and commuting. British Association for Psychopharmacology Award National Alliance for Research in Schizophrenia and Depression (Brain & Behavior Research Foundation) Award Professor Fu has secured significant research funding from major organizations including the Medical Research Council, Wellcome Trust, GlaxoSmithKline, and Eli Lilly. Her work regularly appears in top-tier journals and is consistently cited among the most influential publications in psychiatry. She leads research investigating how brain responses can predict individual treatment responses, potentially enabling personalized depression treatment approaches. Her laboratory focuses on multimodal neuroimaging approaches combined with machine learning to identify neural signatures of depression and treatment response. Current projects include home-based tDCS treatment protocols with remote supervision, biomarker development for predicting antidepressant response, and computational approaches to understanding stress responses in everyday contexts.

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