جست‌وجوی استاد و پژوهشگر

Kelsey A. Bonfilsمشاهده پروفایل

استادیار

• Clinical Psychology
• Social Cognition
• Schizophrenia-spectrum Disorders
• +۵ مورد دیگر

Dr. Kelsey A. Bonfils is a Nina Bell Suggs Endowed Professor and Assistant Professor in the School of Psychology at the University of Southern Mississippi, where she directs the Social Cognition & Recovery in Schizophrenia (SCORS) Lab. Her academic journey includes a PhD and MS in Clinical Psychology from Indiana University-Purdue University Indianapolis, and a BS from the same institution. Dr. Bonfils' research focuses on social cognition mechanisms in schizophrenia-spectrum disorders, examining contributing factors like sleep disturbance and developing interventions to improve recovery outcomes. Her work spans clinical psychology applications for adults with serious mental illness, psychosis risk, and emotion regulation processes. She maintains active professional affiliations with the American Psychological Association, Society for Research in Psychopathology, and International Society of Interpersonal Psychotherapy. Her publication portfolio demonstrates strong research trends in: Social cognition and metacognition in psychotic disorders Sleep-psychopathology relationships Innovative psychotherapies for serious mental illness Mental health disparities and treatment accessibility Veterans' mental health services Dr. Bonfils has received the distinguished Nina Bell Suggs Endowed Professorship recognizing her contributions to clinical psychology research. She teaches graduate and undergraduate courses including Abnormal Psychology, Clinical Psychology Practicum, and Adult Psychotherapy. At the SCORS Lab, Dr. Bonfils leads research on social cognitive processes and recovery-oriented interventions for individuals with schizophrenia-spectrum disorders, with current projects investigating sleep-social cognition interactions and metacognitive therapies.

Donald Emile Addingtonمشاهده پروفایل

استاد بالینی

• Schizophrenia Research
• Early Psychosis Intervention
• Mental Health Services Research
• +۵ مورد دیگر

Dr. Donald Addington serves as a Clinical Professor in the Department of Psychiatry at the University of Calgary's Cumming School of Medicine, with full memberships at the Hotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education. His academic career spans over 50 years, focusing on transforming mental health service delivery for schizophrenia and early psychosis through evidence-based tools and standards. His educational credentials include: MBBS in Medicine, University of London (1972) MRCPsych in Psychiatry, Royal College of Psychiatrists (1976) FRCPC in Psychiatry, Royal College of Physicians and Surgeons of Canada (1982) Dr. Addington's research integrates clinical psychiatry with health services evaluation to develop practical measurement systems. He pioneered internationally adopted instruments including depression assessment scales for schizophrenia and fidelity metrics for psychosis services, creating bridges between clinical practice, policy development, and funding mechanisms. His work establishes standardized approaches for evaluating mental health service accessibility, quality, and outcomes across diverse healthcare systems. His publication trajectory reveals consistent innovation in measurement science, evolving from the foundational Calgary Depression Scale (1990) to contemporary fidelity scales for early psychosis intervention (FEPS-FS/CHRP-FS). These works establish global benchmarks for service quality assessment, with applications spanning clinical practice guidelines, performance measurement, and cross-system outcome comparison through initiatives like the ICHOM Psychotic Disorders standard set. Dr. Addington's scientific recognition includes: Excellence in Clinical Teaching, PAIRA (1996) Leadership Award, Canadian Alliance on Mental Illness and Mental Health (2000) Gold Medal, Canadian College of Neuropsychopharmacology (2004) Michael Smith Award for Schizophrenia (2006) C.A. Roberts Award for Clinical Leadership (2011) Angelo Cocchi Award for Fidelity Implementation (2016) President’s Commendation, Canadian Psychiatric Association (2022) Dr. John M. Cleghorn Memorial Award (2024) He has secured major research funding from the National Institutes of Health, Canadian Institutes of Health Research, and Alberta Heritage Foundation for Medical Research. His leadership extends through 11 years as Department Chair of Psychiatry and two terms as Canadian Psychiatric Association Board Chair, mentoring generations of clinicians while developing tools implemented across Canadian provinces, US states, and European nations. Dr. Addington leads cross-institutional teams including the ICHOM Psychotic Disorders working group and large-scale implementation projects in Ontario, 32 US states, Czechia, and Italy. His current initiatives expand the FEPS-FS framework to clinical high-risk populations and bipolar disorder services while advancing patient-reported outcome measures for international service comparison.

Geir Selbækمشاهده پروفایل

استاد

• Dementia Research
• Geriatric Psychiatry
• Neurodegenerative Diseases
• +۴ مورد دیگر

Geir Selbæk is a Professor II at the University of Oslo in the Department of Geriatric Medicine . His research focuses on dementia , neurodegenerative diseases , and aging-related mental health , with extensive work on the HUNT study —a large Norwegian population-based cohort. He investigates risk factors like depression , loneliness , metabolic health , and social determinants to understand dementia progression. Key research areas: Dementia epidemiology, geriatric mental health, neurodegenerative disease, aging, cognitive impairment Recent publications analyze AI in diagnostics, genetic risk scores, social media's role in pandemic isolation, and metabolic markers Collaborations Selbæk collaborates with international teams across Alzheimer's & Dementia , Nature Genetics , PLOS ONE , and other high-impact journals. His work integrates epidemiological data , neuropsychological testing , and molecular biology to address dementia prevention and care.

• Precision Psychiatry
• Machine Learning in Psychiatry
• Psychosis Prediction
• +۵ مورد دیگر

Nikolaos Koutsouleris serves as a Research Professor leading the Precision Psychiatry team at the Max Planck Institute of Psychiatry in Munich, Germany. He directs the KOUTSOULERIS LAB, which focuses on developing advanced machine learning methodologies for clinical psychiatry applications. His work bridges computational neuroscience, clinical psychology, and precision medicine approaches to transform psychiatric diagnosis and treatment. Dr. Koutsouleris's research program centers on precision psychiatry, with particular emphasis on multimodal data integration for predicting psychiatric outcomes. His laboratory develops sophisticated machine learning workflows that combine neuroimaging, clinical assessments, genetic information, and biomarker data to create personalized prediction models. This approach enables more accurate identification of individuals at risk for psychosis and other psychiatric disorders, facilitating earlier intervention and tailored treatment strategies. Analysis of Dr. Koutsouleris's publication record reveals a consistent trajectory toward increasingly sophisticated applications of artificial intelligence in psychiatry. His recent work demonstrates a shift from single-modality prediction to complex multimodal frameworks that capture the heterogeneous nature of psychiatric conditions. Key themes include addressing methodological challenges in clinical prediction generalizability, exploring neurobiological underpinnings of mental illness through advanced analytics, and translating computational findings into clinically actionable tools. As leader of the KOUTSOULERIS LAB at the Max Planck Institute of Psychiatry, Dr. Koutsouleris oversees a multidisciplinary research environment that brings together computational scientists, clinicians, neuroscientists, and data analysts. His team collaborates extensively with international consortia to validate prediction models across diverse populations, ensuring robustness and clinical applicability of their findings. The laboratory serves as a nexus for innovation in computational psychiatry, driving methodological advances while maintaining strong connections to clinical practice.

Tina Guptaمشاهده پروفایل

استادیار

• Clinical Psychology
• Adolescent Development
• Severe Mental Illness
• +۶ مورد دیگر

Tina Gupta will join the University of Oregon as an Assistant Professor in the Department of Psychology under the College of Arts and Sciences in Fall 2025. With expertise in clinical psychology and affective neuroscience, she focuses on adolescent emotional development and severe mental illness risk markers. Research Interests: Adolescent Development, Psychosis-risk, Resilience, Emotion Processing, Reward Processing, Early Intervention Methods: Clinical interviews, behavioral measures, facial expression coding, neuroimaging, eye-tracking, computational statistics Her work bridges clinical psychology and developmental psychopathology to identify biological and environmental factors contributing to severe mental illnesses like schizophrenia. She specifically examines disruptions in emotional processes and protective resilience mechanisms in at-risk adolescents. Dr. Gupta employs multi-modal approaches including fMRI , EMG , and longitudinal tracking to map brain-behavior relationships. Her recent publications analyze anhedonia trajectories, facial expressivity changes, and inflammation's role in adolescent mental health.

• Child Psychiatry
• Family Therapy
• Mentalization-Based Treatment
• +۳ مورد دیگر

Line Brotnow Decker is a Lecturer in the Child Study Center at Yale School of Medicine. She holds a BS in Psychology from Université de Paris (2011) and an MSc in Developmental Neuroscience and Psychopathology from University College London (2013). Her research focuses on intensive home-based treatments for youth with psychiatric conditions, family systems therapy, maternal mental health, and behavioral motivation measurement. Dr. Decker co-developed the CRAVE Scale for assessing motivation states related to physical activity and has published extensively on interventions targeting high-risk youth, parent-clinician collaboration, and prenatal stress impacts. Key Research Areas: Mentalization-based interventions, family therapy, school absenteeism interventions, and maternal-child health dynamics Notable Contributions: Evaluation of IICAPS home-based program, development of CRAVE Scale, studies on parent-clinician disagreement impacts Her work emphasizes practical clinical strategies for improving family mental health treatment outcomes through enhanced clinician-parent collaboration and tailored behavioral interventions. Dr. Decker collaborates with institutions like the Stephen & Denise Adams Center for Parkinson’s Disease Research on translational child psychiatry initiatives.

Christine Tardifمشاهده پروفایل

استادیار

• MRI-based Neuroimaging
• Quantitative MRI (qMRI)
• Biophysical Modeling
• +۸ مورد دیگر

Christine Tardif is an Assistant Professor in the Department of Biomedical Engineering and the Department of Neurology and Neurosurgery at McGill University. As head of the McConnell Brain Imaging Centre lab at the Montreal Neurological Institute, she develops advanced MRI techniques for in-vivo brain imaging, focusing on quantitative mapping of myelin and cortical microstructure. Her work spans methodological innovation (e.g., multi-modal biophysical modeling) and translational applications across preclinical (7 Tesla) and clinical (3 and 7 Tesla) systems. Undergraduate: B.Eng. in Computer Engineering, McGill University (2004) Master's: M.Sc. in Bioengineering, Imperial College London (2006) PhD: Biomedical Engineering, McGill University (2011) Her research explores myelin dynamics in health and disease, emphasizing its role in neural conduction, brain plasticity, and cognitive functions. The lab investigates dysmyelination in psychiatric disorders (e.g., bipolar disorder) and neurodegenerative conditions (e.g., multiple sclerosis) using relaxometry , magnetization transfer , and diffusion-weighted imaging . Recent methodological work includes 3D MERMAID sequences for motion-insensitive diffusion imaging and optimization of magnetization transfer saturation maps. Current projects integrate ultra-high field MRI with histological validation in preclinical models (e.g., marmoset brain sections), aiming to bridge microstructural metrics with macro-scale brain function. Applications span Alzheimer's disease risk assessment via white matter alterations, synaptic density mapping in psychosis, and cortical laminar differentiation studies.

Nikolaos Koutsoulerisمشاهده پروفایل

استاد

• Predictive Psychiatry
• Machine Learning in Psychiatry
• Psychosis Prediction
• +۵ مورد دیگر

Professor Nikolaos Koutsouleris serves as a Research Group Leader for the Max Planck Fellow Group for Precision Psychiatry at the Max Planck Institute of Psychiatry and holds a position as Senior Physician in the Department of Psychiatry and Psychotherapy at Ludwig Maximilian University (LMU) Munich. His work bridges clinical practice with advanced computational approaches to transform psychiatric diagnostics and treatment. Dr. Koutsouleris specializes in predictive psychiatry, focusing on extracting meaningful patterns from neurobiological, neurocognitive, and clinical data to improve early recognition of functional psychoses. His research employs structural MRI, neuropsychological testing, and clinical evaluations within cross-sectional and longitudinal studies, utilizing advanced machine learning methods to identify and validate biomarkers for single-subject prediction of psychosis. As head of the Early Psychosis Studies and the Workgroup for Neurodiagnostic Applications, he drives initiatives to implement predictive models across healthcare settings for personalized management of high-risk individuals. His publication record reveals a consistent focus on machine learning applications in psychiatry, with recent work addressing critical issues like the generalizability of clinical prediction models, brain aging patterns in large populations, and multimodal approaches to psychosis prediction. His research spans from fundamental methodological challenges to clinical applications, demonstrating how AI and machine learning are transforming psychiatric practice toward precision medicine. Dr. Koutsouleris actively trains pre- and post-doctoral investigators in advanced data analysis techniques, emphasizing comprehensive analysis of complex, high-dimensional datasets using multivariate methods. His leadership in the PRONIA Consortium and other collaborative efforts highlights his commitment to advancing the field through international cooperation and rigorous scientific inquiry.

Paul Fletcherمشاهده پروفایل

استاد

• Neuroscience
• Psychiatry
• Cognitive Psychology
• +۷ مورد دیگر

Professor Paul Fletcher is a Principal Investigator at the Institute of Metabolic Science, University of Cambridge, and holds the Bernard Wolfe Health Neuroscience Fund. He is affiliated with the Department of Psychiatry and collaborates with Professors Steve O’Rahilly, Sadaf Farooqi, Fiona Gribble, and Frank Reimann. His research bridges neuroscience and psychiatry to explore higher-level perceptual and learning processes shaping decision-making and behavior, particularly in relation to obesity and mental disorders. Academic Rank: Professor University: University of Cambridge School: Institute of Metabolic Science Department: Psychiatry Fletcher employs functional neuroimaging, behavioral studies, and pharmacological perturbations (e.g., dopamine agonists/antagonists) to investigate reward-related brain processes and their role in food choice, obesity, and psychiatric conditions like psychosis. His work emphasizes the integration of the brain with metabolic/endocrine signals and external environments. Key trends in his publications include predictive coding , delusions , neuroimaging , and virtual reality applications in mental health. Recent studies focus on anxiety , foraging behavior , schizophrenia , and health interventions . Scientific Awards Bernard Wolfe Health Neuroscience Fund Wellcome Trust Senior Clinical Fellow Fletcher’s research is funded by Wellcome and the Bernard Wolfe Fund, with collaborations spanning psychiatry, psychology, and clinical neuroscience. His work addresses mental health , obesity , and neurocognitive mechanisms of decision-making, supported by recent publications in top-tier journals.

Matilda Azisمشاهده پروفایل

پژوهشگر

• Psychiatry
• Psychosis Studies
• Neurobiology of Mental Disorders
• +۴ مورد دیگر

Dr. Matilda Azis is a Researcher and Module Co-lead at the Department of Psychosis Studies within King's College London's Institute of Psychiatry, Psychology and Neuroscience (IoPPN). She holds a PhD from King's College London, specializing in the neurobiology of Ultra High Risk (UHR) psychosis patients. Her postdoctoral work includes a fellowship at Northwestern University and continued research at IoPPN focusing on neurobiological, clinical, and cognitive factors influencing psychosis onset. Her research interests center on schizophrenia spectrum disorders, clinical high-risk populations, and translational mental health interventions. Key methodologies include neuroimaging, genetic analysis, and randomized controlled trials evaluating CBT efficacy for psychosis-related symptoms. Her work has led to publications in Biological Psychiatry , Molecular Psychiatry , and Journal of Behavior Therapy and Experimental Psychiatry , with a focus on cerebral blood flow alterations, neurotransmitter signatures, and comorbidity patterns in at-risk populations. She contributes to the EPIC Lab and collaborates internationally on neurobiological studies.

Kiyoto Kasaiمشاهده پروفایل

استاد

• Neuroimaging
• Clinical Neurophysiology
• Psychiatric Disorders
• +۴ مورد دیگر

Kiyoto Kasai is a Professor and Chair of the Department of Neuropsychiatry at the Graduate School of Medicine, The University of Tokyo. As a Principal Investigator, he leads research on biological mechanisms of psychosis onset and early intervention strategies, utilizing neuroimaging (MRI, MR spectroscopy), EEG, and cohort studies like the Tokyo TEEN Cohort. He is a key figure in Japan’s national brain project Brain/MINDS 2.0 and focuses on adolescent mental health, schizophrenia, and 22q11.2 deletion syndrome. Education: M.D. (1995), Ph.D. in Psychiatry (2004) from the University of Tokyo Key Research Areas: Neuroimaging, Clinical Neurophysiology, Adolescent Brain Development, Translational Neuroscience His work bridges biological and psychosocial research, including large-scale cohort studies, clinical epidemiology, and molecular biology. Recent publications highlight his focus on suicide prevention in adolescents, psychosis prediction, and neurochemical mechanisms in psychiatric disorders. Scientific awards include: Distinguished Investigator Award (2003) Young Investigator Award (2008) Kasai’s team collaborates internationally on projects like Brain/MINDS Beyond, aiming to uncover brain maturation mechanisms in the Adolescent and Young Adult (AYA) generation. The department also emphasizes patient-centered care through initiatives like the AYA Generation Center and specialized programs for 22q11.2 deletion syndrome.

Eilis Hannonمشاهده پروفایل

دانشیار

• Genetics
• Bioinformatics and computational biology
• Epidemiology
• +۹ مورد دیگر

Eilis Hannon is an Associate Professor in Bioinformatics at the University of Exeter Medical School and leads the Complex Disease Epigenetics Group. She holds a prestigious 5-year EPSRC Research Software Engineering Fellowship and serves as Assistant Director for Education in the Institute of Data Science and Artificial Intelligence, driving initiatives in reproducible research and data science education. Education: BSc in Mathematics, Cardiff University (2010) PhD in Bioinformatics, Cardiff University Centre for Psychological Medicine and Clinical Neurosciences (2014) Her research integrates statistical genetics, epigenomics, and bioinformatics to investigate molecular mechanisms in schizophrenia, bipolar disorder, and neurodegenerative diseases. She develops novel computational methods for analyzing DNA methylation dynamics across the lifespan and cell-type-specific epigenetic changes in brain disorders, with strong emphasis on open science and reproducible research practices. Recent publications demonstrate her leadership in multi-omics integration, particularly in cell-type-specific epigenetic epidemiology, biomarker development for neurological conditions, and methodological advances in long-read sequencing. Her work spans psychiatric disorders, Alzheimer's disease, and ALS, consistently linking genetic risk variants to functional epigenetic consequences through innovative analytical frameworks. Scientific Awards: EPSRC Research Software Engineering Fellowship NARSAD Young Investigator Award Alan Turing Pilot Project award Alzheimer's Society PhD studentship Software Sustainability Institute fellowship Alan Turing Institute Skills Policy Award As an educator, she directs the Coding for Reproducible Research training programme and mentors over 20 PhD students. She has secured substantial funding from MRC, NIA, ARUK, and the Brain and Behaviour Research Foundation, serving as PI on the EPSRC Fellowship and co-applicant on multiple international grants. Her leadership extends to the MRC GW4 Biomed DTP and the MSc module Statistics for Health and Life Sciences. She co-leads the Exeter Brain Health Analytics network within the NIHR Exeter Biomedical Research Centre and the Institute for Data Science and Artificial Intelligence, fostering cross-disciplinary collaborations in neurogenetics and computational biology.

Alexander Sumichمشاهده پروفایل

استاد

• Biopsychology
• Neuroimaging
• Neurobiology of mental health
• +۶ مورد دیگر

Alexander Sumich is Professor of Mental Health and Biopsychology at Nottingham Trent University , School of Social Sciences. He co-directs the Centre for Public and Psychosocial Health and co-leads the Affect, Personality and Embodied Brain (APE) Research Group . He also serves as Adjunct Professor in Psychology at Auckland University of Technology, New Zealand , and holds editorial and leadership roles in organizations like the British Society for the Psychology of Individual Differences (Treasurer) and Personality and Individual Differences (Associate Editor). Education: MA in Psychology (First Class Honors), University of Auckland PhD in Psychology as Applied to Medicine, Institute of Psychiatry, London His research spans neuroimaging and electrophysiological methods to investigate the neurobiology of affect-driven behaviors (depression, aggression, hallucinations) and the immune system's role in mental health . He employs virtual reality exposure therapy (VRET) , spiking neural networks , and computational models to enhance mental health interventions. Key areas include gaming disorder , mindfulness effects , and gut-brain axis interactions . Notable research grants include: BIAL Foundation (2023-2024): €58,765 for trauma-paranormal-mental health links MBIE-Catalyst Programme (2020-2024): NZ$2,134,847 for computational neurogenetics UKRI KTP (2021-2024): £204,000 for therapeutic digital displays His external roles include: Treasurer, British Society for the Psychology of Individual Differences Associate Editor, Personality and Individual Differences Co-host, APE2020 Conference

Christoph Mulertمشاهده پروفایل

استاد

• Neurophysiology
• Neurochemistry
• Visual Perception
• +۷ مورد دیگر

Christoph Mulert is a Professor at the Department of Psychiatry and Psychotherapy , Justus-Liebig-Universität Gießen, and serves as the Clinic Director at the University Hospital Giessen. His research focuses on neurophysiological and neurochemical mechanisms underlying visual perception and their alterations in schizotypy. Key research areas include: Gamma oscillations in sensory processing Schizophrenia pathophysiology EEG and fMRI neuroimaging Reward processing networks Dopamine and E/I balance Neural synchronization and hallucinations Recent work explores ketamine models for schizophrenia, tACS applications in psychiatry, and interhemispheric connectivity. Collaborators include G. Leicht, S. Steinmann, and C. Andreou. His team utilizes multimodal neuroimaging to characterize neurophysiological disturbances in psychiatric disorders.

• Functional Neuroimaging
• Eating Disorders
• Psychosis
• +۳ مورد دیگر

Dr. Owen O'Daly is a Senior Lecturer in the Department of Neuroimaging at King's College London, affiliated with the Institute of Psychiatry, Psychology & Neuroscience. His research focuses on functional neuroimaging to investigate dysregulated motivation and control in eating disorders, as well as the neural mechanisms underlying psychological treatments like transcranial magnetic stimulation (TMS) and exposure therapy. He also explores brain activity changes in conditions such as anorexia nervosa, diabetes-related hypoglycemia, and obesity disorders. Dr. O'Daly leads the MSc Neuroscience: Neuroimaging (B5) module and serves on the Neuroscience MPhil/PhD Sub-Committee. Key collaborators include Prof. Ulrike Schmidt (King's College London), Prof. Rachel Batterham (UCL), and Prof. Stephanie Amiel (King's College London). His work integrates pharmacological imaging, resting-state fMRI, and task-based studies to understand neural correlates of mental health disorders. Recent studies highlight attentional network dynamics in depression, anhedonia-linked brain activity, and predictive biomarkers for treatment responses in fibromyalgia and chronic pain. Notable research themes include the neural basis of failed inhibition in eating disorders, the impact of diazepam on hippocampal connectivity in psychosis risk groups, and the role of subgenual connectivity in major depressive disorder. Dr. O'Daly's collaborative projects span clinical and translational neuroscience, emphasizing translational applications of neuroimaging in mental health treatment.