جست‌وجوی استاد و پژوهشگر

Yang Yangمشاهده پروفایل

دانشیار

• MRI Technique Development
• Artificial Intelligence in Medical Imaging
• Motion Correction in Imaging
• +۳ مورد دیگر

Dr. Yang Yang is an Associate Professor in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco (UCSF). He joined UCSF in 2022 to lead a midfield MRI research program at China Basin, focusing on artificial intelligence (AI) applications for motion correction in dynamic imaging. Previously, he served as an Assistant Professor at the Icahn School of Medicine at Mount Sinai and an Adjunct Assistant Professor at the University of Virginia. Educated at Xi'an Jiaotong University (BSE, MSE in Biomedical Engineering) and the University of Virginia (PhD in Biomedical Engineering) Dr. Yang’s research bridges biomedical engineering, MRI physics, and clinical applications. His work emphasizes: Developing AI-enhanced MRI sequences for organs in motion (heart, lungs) Advancing midfield MRI for radiation-free diagnostics in pediatrics Reducing scan time and claustrophobia via wider-bore scanners Addressing global healthcare disparities through accessible imaging Rather than isolated breakthroughs, his 15 most recent articles (2021–2025) reveal a cohesive trend: integrating AI, non-Cartesian trajectories, and motion correction for cardiovascular imaging , interstitial lung diseases , and low-field MRI optimization . His team’s work spans dynamic organ imaging, pre-training AI models, and clinical translation for radiation safety. Dr. Yang collaborates extensively with radiologists, cardiologists, and technologists, notably guided by Dr. David Saloner at UCSF and Dr. Michael Salerno (University of Virginia). His research directly impacts patient outcomes by eliminating radiation exposure in lung diagnostics and enabling MRI access in resource-limited regions.

• Pediatric Neurology
• General Pediatric Neurology
• Central Nervous System Infections in Children
• +۷ مورد دیگر

Tuire Lähdesmäki is a Clinical Lecturer and Docent in the Department of Paediatrics and Adolescent Medicine at the University of Turku, Faculty of Medicine. Her work bridges clinical pediatric neurology and developmental neuroscience, with a strong focus on early brain development and neurological outcomes in children. Academic Rank: Clinical Lecturer Institution: University of Turku Department: Paediatrics and Adolescent Medicine Specialization: Pediatric Neurology Her research centers on general pediatric neurology, with emphasis on central nervous system infections, pediatric traumatic brain injury, and the influence of parental psychological and environmental factors on neonatal and childhood brain development. She uses advanced neuroimaging techniques and longitudinal cohort data, particularly from the FinnBrain birth cohort, to explore structural and functional brain changes related to cognitive and behavioral outcomes. The recent publications (2023–2025) reflect a strong trend in developmental neuroscience and pediatric neurology, with recurring themes in brain connectivity, white matter maturation, amygdala and prefrontal cortex development, and long-term cognitive effects of mild traumatic brain injury. These studies often employ MRI, fMRI, and diffusion imaging within large pediatric cohorts, highlighting a multidisciplinary, data-driven approach. While no formal awards are listed in the provided text, her contributions to clinical guidelines—such as the Finnish epilepsy care pathway—and professional handbooks indicate national impact in pediatric neurology practice. Dr. Lähdesmäki actively collaborates with researchers in neurology, psychiatry, and neuroscience. Her involvement in the FinnBrain cohort suggests integration into a larger research team focused on early-life determinants of health. Though no specific lab or grant is mentioned, her ongoing research output implies active participation in funded projects and collaborative networks.

Brittany Howellمشاهده پروفایل

دانشیار

• Infant Brain Development
• Maternal-Infant Health
• Neurodevelopment
• +۱۲ مورد دیگر

Brittany Howell, Ph.D., is an Associate Professor at Virginia Tech, affiliated with the Fralin Biomedical Research Institute at VTC, the Department of Human Development and Family Science in the College of Liberal Arts and Human Sciences, and the Department of Pediatrics at the Virginia Tech Carilion School of Medicine. She leads the Howell MIND Lab, a multidisciplinary research team focused on improving mother-infant health outcomes through the study of early brain development. Ph.D. in Neuroscience, Emory University Postdoctoral Scholar, University of Minnesota Postdoctoral Scholar, Emory University Dr. Howell’s research centers on the biological and behavioral factors influencing infant neurodevelopment, particularly the gut-brain-behavior axis, maternal health, and early life experiences. Her lab integrates data from brain imaging, biosample analysis (breast milk, stool), feeding habits, stress levels, and social interactions to understand optimal brain development. Her work emphasizes how maternal mental and physical health, including stress and nutrition, shapes infant outcomes. Her recent publications span developmental neuroscience, neuroimaging, maternal-infant health, and the microbiome. Key themes include the impact of prenatal exposures (e.g., opioids), human milk composition on brain development, early life stress effects on neural circuits, and large-scale longitudinal studies like the HEALthy Brain and Child Development (HBCD) Study. Her research employs both human and nonhuman primate models to disentangle genetic and environmental influences. 6th Annual Nutrition & Growth Meeting Abstract Award Jacobs Foundation Conference Young Scholar NIMH Institutional Postdoctoral NRSA Award Dr. Howell advises several graduate students in translational biology, human development, and medicine. Her research is supported by grants from NIH and state partnerships like iTHRIV, and she actively collaborates with clinical and community partners. She is deeply engaged in public outreach, policy advocacy, and science communication, aiming to translate research into improved practices and policies for maternal and child health. The Howell MIND Lab is actively involved in multiple studies, including the HBCD Study, which follows families from pregnancy through early childhood to understand how social and environmental factors influence development. The lab fosters a welcoming, inclusive environment and emphasizes community engagement, equity, and support for diverse families.

Jeff Daviesمشاهده پروفایل

مدرس ارشد

• Audiology
• Tinnitus Mechanisms and Treatments
• Functional Magnetic Resonance Imaging (fMRI)
• +۷ مورد دیگر

Dr. Jeff Davies is a Senior Lecturer in Audiology at De Montfort University's School of Allied Health Sciences, Faculty of Health and Life Sciences. He is a qualified audiologist with clinical experience in the NHS and maintains an honorary NHS contract. His research and teaching focus on clinical audiology, tinnitus, fMRI, and hearing loss. Education: BSc (Hons) in Audiology, De Montfort University PhD in Otorhinolaryngology (Auditory Neuroscience), University of Nottingham Dr. Davies' research centers on understanding tinnitus mechanisms through functional brain imaging (fMRI), auditory network connectivity, noise-induced hearing loss, and hearing aid verification. His expertise spans both clinical and neuroscientific domains, integrating patient care with advanced neuroimaging techniques. He has led international outreach initiatives, particularly in Gujarat, India, emphasizing global work-based learning for audiology students. His recent publications reflect a strong trend in using neuroimaging to explore tinnitus-related brain changes, evaluating hearing aid technologies, and promoting student-led clinical outreach. These works span audiology, neuroscience, and public health, with a growing emphasis on pedagogical impact and international collaboration. Scientific Awards: Deafness Research UK funded studentship Dr. Davies has supervised student projects and participated in pedagogical research on global work-based learning. He has been involved in multiple research collaborations, including with the NIHR Nottingham Hearing Biomedical Research Unit and the Human Brain Research Laboratory at the University of Iowa. He has not received major external grants mentioned in the text, but his work is supported through institutional and charitable funding. He actively presents at national and international conferences, contributing to both research and clinical audiology communities. He is affiliated with key professional organizations including the British Academy of Audiology, British Society of Audiology, and British Tinnitus Association, and is registered with the Registration Council for Clinical Physiologists. His outreach work in India exemplifies his commitment to community engagement and global health equity in audiology.

Kristina Djanashviliمشاهده پروفایل

دانشیار

• Nanomedicine
• Theranostics
• Biomedical Imaging
• +۱۲ مورد دیگر

Kristina Djanashvili is an Associate Professor in the Department of Biotechnology at the Faculty of Applied Sciences, Delft University of Technology. She leads the Kristina Djanashvili Group, focusing on theranostic nanomaterials for biomedical imaging and targeted cancer therapy. Her research integrates chemistry, material science, and molecular biology, with strong clinical translation efforts in collaboration with medical centers. PhD in Chemistry, TU Delft (2009, Cum Laude) NWO VENI Grant Recipient (2013) Le Studium/Marie Skłodowska-Curie Research Fellow (France) Promoted to Associate Professor in 2019 Her research interests lie at the intersection of nanomedicine and molecular imaging, with a focus on developing multifunctional nanomaterials for MRI, PET, and optical imaging, combined with therapeutic functions like radiotherapy and magnetic hyperthermia. She explores nanozeolites, hybrid nanoparticles, and responsive probes for tumor targeting and signal enhancement. Her work emphasizes clinical translation and interdisciplinary collaboration. The 15 most recent publications reflect a strong trend in theranostics, particularly in magnetic hyperthermia, targeted alpha therapy, MRI contrast agents, and radiolabeling of nanomaterials. Key subfields include cancer nanotechnology, multimodal imaging, and radiochemistry, with a consistent focus on improving diagnostic accuracy and therapeutic efficacy in oncology. Dewis Award for best female PhD student NWO VENI grant Le Studium/Marie Skłodowska-Curie Research Fellowship Dr. Djanashvili actively supervises students and leads an independent research line in nanomedicine established through the NWO VENI grant. She chairs the sub-Board of Examiners for the MSc Life Science & Technology program and teaches key courses such as Advanced Protein Chemistry and Molecular Analytical Methods. Her research is supported by national and international collaborations, including projects with Erasmus MC. Her labs are located at the Reactor Institute, where she collaborates with the Applied Radioisotopes (ARI/RST) group to enable radiolabeling of materials for radiotherapeutic applications. She is part of the Biocatalysis research section and contributes to interdisciplinary research in biotechnology and society.

• Partial Differential Equations
• Bayesian Statistics
• Ordinary Differential Equations
• +۷ مورد دیگر

Teo Deveney is a Researcher in the Department of Computer Science at the University of Bath, actively contributing to mathematical and computational research since completing his PhD in 2022. His work bridges theoretical mathematics with practical applications across medical imaging and climate science domains. His doctoral research focused on accelerating Bayesian inference using deep learning for physics-governed likelihoods, supervised by T. Shardlow and E. Mueller. Educational background centers on computational mathematics with strong foundations in differential equations and probabilistic modeling. Research interests prioritize mathematical frameworks for complex systems: Partial Differential Equations (100% fingerprint match), Bayesian Statistics (85%), and Stochastic Differential Equations (75%). Secondary emphases include Neural Networks (60%), Climate Modeling, and Medical Imaging applications. His methodology consistently integrates uncertainty quantification with deep learning architectures. Recent publications (2024-2025) reveal converging trends: applying score-based diffusion models to ODE-SDE gaps via Fokker-Planck equations, developing graph-adaptive finite element methods, and creating machine-learned climate parameterizations. Medical imaging work focuses on Bayesian MRI reconstruction with structured uncertainty distributions using autoencoders. No scientific awards documented in current records Collaborative networks include C. Budd, C. B. Schönlieb, and L. Kreusser across Bath's computational mathematics groups. Current projects involve physics-informed neural networks for atmospheric modeling and uncertainty-aware medical image reconstruction, leveraging the university's high-performance computing infrastructure.

Pankaj Gargمشاهده پروفایل

دانشیار

• Cardiovascular Medicine
• Cardiac Magnetic Resonance Imaging
• 4D Flow MRI
• +۷ مورد دیگر

Pankaj Garg is an Associate Professor in Cardiovascular Medicine at the University of East Anglia, affiliated with the Norwich Medical School, and serves as an Honorary Consultant Cardiologist at Norfolk and Norwich University Hospitals Foundation Trust. His academic and clinical work bridges advanced cardiovascular imaging and patient care, with a strong emphasis on translational research. Education: MD (Honours), I.M. Sechenov, 2003 MRCP (UK), Royal College of Physicians, 2009 PG Cert. M.Ed., University of Dundee, 2011 FHEA (UK), Higher Education Academy, 2011 PhD, University of Leeds, 2017 FESC, European Society of Cardiology, 2020 Research Interests: Pankaj Garg's research is centered on developing and translating novel imaging techniques in cardiovascular medicine. His primary focus is on Cardiac Magnetic Resonance (CMR) and 4D flow imaging, aiming to improve the non-invasive assessment of hemodynamics in conditions such as heart failure, valvular disease, and pulmonary hypertension. He explores the interface between cardiovascular flow and cardiac remodeling, with a strong interest in applying artificial intelligence to accelerate and enhance image analysis. Recent Research Trends: His recent publications highlight a strong trend in developing non-invasive biomarkers using CMR, including models to estimate left ventricular filling pressure, right atrial pressure, and pulmonary capillary wedge pressure. He is also advancing AI-driven segmentation and quantification tools, validating 4D flow against echocardiography, and investigating sex-specific differences in cardiovascular physiology. His work consistently emphasizes clinical relevance, prognostic value, and improved diagnostic accuracy. Scientific Awards and Memberships: Fellow of the European Society of Cardiology (FESC) Fellow of the Higher Education Academy (FHEA) Member of British Cardiac Society (BCS) Member of British Society of Cardiovascular Magnetic Resonance (BSCMR) Member of Society for Cardiovascular Magnetic Resonance (SCMR, US) Advising and Grants: Dr. Garg leads multiple externally funded research projects, including grants from the British Heart Foundation, Wellcome Trust, and Edwards Lifesciences Ltd. These projects focus on advanced pulmonary flow hemodynamics, right heart flow in heart failure, and novel non-invasive methods in HFpEF. He mentors researchers and collaborates widely, indicating active supervision and leadership in his field. Labs and Teams: He leads the Cardiovascular Imaging Science Lab at the University of East Anglia and collaborates with multidisciplinary teams across institutions, including the University of Sheffield and University of Leeds. His network includes experts in cardiology, radiology, biomedical engineering, and AI, supporting a robust translational research environment.

Mingxia Liuمشاهده پروفایل

استادیار

• Machine Learning in Medical Imaging
• Neuroimaging Analysis
• Alzheimer’s Disease Research
• +۵ مورد دیگر

Mingxia Liu, PhD, is an Assistant Professor in the Department of Radiology at the University of North Carolina School of Medicine and Co-Director of Radiological Sciences Faculty Development. She specializes in advancing machine learning technologies for automated brain disease analysis, particularly using MRI/PET modalities. Her work focuses on clinical applications of neuroimaging analysis, including Alzheimer’s disease, MCI, and autism. Dr. Liu leads the UNC Imaging Analysis Group and has developed groundbreaking frameworks for disease diagnosis and prognosis. Dr. Liu holds a PhD from Nanjing University of Aeronautics & Astronautics and completed a postdoctoral fellowship at UNC. Her research integrates computational methods with clinical neuroimaging, emphasizing multimodal data fusion and domain adaptation techniques to address challenges in heterogeneous datasets. Her research interests include: Machine learning for brain disorder classification Functional connectivity analysis using fMRI Domain adaptation in medical imaging Federated learning for multisite studies AI-driven clinical decision support systems Her recent publications highlight advancements in self-supervised learning, graph neural networks, and hybrid multimodal frameworks, with applications to cognitive decline prediction and neurodegenerative disease modeling. These innovations aim to improve early diagnosis and personalized treatment strategies. Dr. Liu has been recognized with prestigious awards including the MICCAI Young Scientist Award (Honorable Mention) and multiple doctoral dissertation honors. Her work bridges cutting-edge AI techniques with translational neuroimaging research, fostering interdisciplinary collaboration in healthcare technology.

Yu Wangمشاهده پروفایل

پژوهشگر

• Computational Biology
• Neural Networks
• High Performance Computing
• +۳ مورد دیگر

Yu Wang is a Researcher at the Medical College of Wisconsin's Biostatistics department. He transitioned to this role after completing his PhD in Biostatistics at the same institution in 2019. His work is supervised by Dr. Auer Paul, Dr. Lin Masaki, and Dr. Chen Zhongyuan. Yu specializes in computational biology, machine learning techniques (e.g., Random Forest, Hidden Markov Models), and high-performance computing applications in neuroimaging and survival analysis. Education: PhD in Biostatistics (Medical College of Wisconsin, Milwaukee, WI) MS in Mathematics (Missouri State University, Springfield, MO) BS in Statistics (Henan University of Economics and Law, Zhengzhou, China) Research focuses on neuroimaging endophenotypes, genetic influences on brain aging, and AI-driven analysis of neurodegenerative diseases. His work bridges computational methods with clinical insights, addressing Alzheimer’s, schizophrenia, and temporal lobe epilepsy through machine learning models and structural covariance analysis. Publications span neuroimaging biomarkers for brain disorders, genetic correlates of brain structure, and AI-based disease subtyping. Collaborations emphasize cross-disciplinary approaches to understand disease heterogeneity and clinical vulnerability.

• Clinical Psychology
• Neuropsychology
• Neuroimaging
• +۵ مورد دیگر

Dr. Robert H. Paul is a faculty member in the Department of Psychological Sciences at the University of Missouri, St. Louis , with a research focus on Clinical Psychology and Neuropsychology . His work bridges Neuroscience and Medicine , particularly examining the neurological impacts of early life trauma, HIV-related cognitive disorders, and neuroimaging advancements. Research Interests : Early Life Trauma, HIV Neurocognitive Disorders, Neuroimaging, Brain Circuitry, Cognitive Dysfunction in Aging, and Inflammatory Markers. Technical Expertise : Diffusion Tensor Imaging (DTI), Tractography, Structural MRI, and Neuropsychological Assessment. Key Publications include studies on traumatic stressor effects in adolescence, immune markers in HIV youth, and quantitative neuroimaging methods. While no formal awards are listed, his collaborations span institutions in the U.S. and Thailand.

Philip Baylyمشاهده پروفایل

استاد

• Biomechanics
• Traumatic Brain Injury (TBI)
• Chronic Traumatic Encephalopathy (CTE)
• +۷ مورد دیگر

Philip Bayly is the Lee Hunter Distinguished Professor in the Department of Mechanical Engineering & Materials Science at the McKelvey School of Engineering, Washington University in St. Louis . Since joining the faculty in 1993, he has led research on brain biomechanics, nonlinear dynamics, and imaging techniques to study traumatic injury and cellular motion. Key Affiliations : Neuroimaging Lab Research Center, Small Animal Magnetic Resonance Facility, Hope Center for Neurological Disorders. His work focuses on traumatic brain injury (TBI) , using Magnetic Resonance Imaging (MRI) and MR Elastography to visualize brain motion and shear waves during head acceleration. He investigates how mechanical properties and directional loading influence injury patterns, with applications in military medicine (e.g., blast-induced TBI) and civilian trauma . Research Highlights : Leading a $700,000 ONR-funded study to model skull-brain mechanics in blast scenarios. Developing acoustic microfluidics to study cilia and flagella motion , collaborating with the Meacham Lab. Tracking directional brain strain in human and mouse models, revealing frequency-dependent vulnerability. Scientific Awards : 2025 Dean’s Award, McKelvey School of Engineering. Grants & Collaborations : Office of Naval Research (ONR) grant for TBI mechanics. Partnerships with University of Delaware and Dartmouth College. Labs & Teams : Bayly Lab : Focused on dynamics, imaging, and biomechanical modeling. Collaborative teams at Washington University School of Medicine .

Amal Isaiahمشاهده پروفایل

استاد

• Pediatric Otolaryngology
• Sleep Disordered Breathing
• Neuroscience
• +۷ مورد دیگر

Dr. Amal Isaiah is a Professor in the Department of Otorhinolaryngology-Head & Neck Surgery at the University of Maryland School of Medicine. He holds secondary appointments in Pediatrics and Diagnostic Radiology Nuclear Medicine. Dr. Isaiah serves as Chief of Pediatric Otorhinolaryngology and Director of Resident Research in his department. He is also a faculty member in the Program in Neuroscience at the University of Maryland and a co-investigator in the Adolescent Brain and Cognitive Development (ABCD) Study. Dr. Isaiah completed his medical education at St. John's Medical College in Bangalore, India, followed by a DPhil in Neuroscience at Oxford University as a Rhodes Scholar. He completed his residency in Otolaryngology and fellowship in Pediatric Otolaryngology at the University of Maryland and University of Texas Southwestern Medical Center, respectively. He is board certified in Otolaryngology-Head and Neck Surgery and Complex Pediatric Otolaryngology. His primary research focuses on brain outcomes in children with sleep disordered breathing, using advanced machine learning and statistical modeling techniques. Dr. Isaiah has developed five technologies related to sleep apnea and upper airway obstruction. With over 70 peer-reviewed publications, 7 book chapters, and numerous national and international presentations, he leads a productive research group investigating the neural correlates of pediatric sleep disorders. His work has received international attention and is funded by an R01 grant from the National Institutes of Health. Dr. Isaiah's recent publications demonstrate a strong focus on the relationship between sleep-disordered breathing and brain development in children and adolescents. His research spans multiple methodologies including functional neuroimaging, machine learning applications, and clinical trials examining treatment outcomes. A significant portion of his recent work utilizes data from the ABCD study to examine how sleep problems affect cognitive development. Rhodes Scholarship Duane Sewell, MD Resident Research Award Maryland Society of Otolaryngology Resident Research Award Delegate, International Achievement Summit Gerber Foundation Early Career Award Dr. Isaiah currently serves as Principal Investigator on an NIH/NHLBI R01 grant (1R01HL167012) examining treatment-related outcomes of sleep disordered breathing using functional near-infrared spectroscopy. He is also a co-investigator on the ABCD PRISM Consortium grant. His research group has successfully enrolled over 400 children in clinical studies related to sleep-disordered breathing. Dr. Isaiah collaborates extensively with researchers at UC Merced, UT Southwestern, and UT Arlington, bringing together expertise in neuroscience, otolaryngology, and computer science. Dr. Isaiah maintains an active clinical practice focused on pediatric ear, nose, and throat disorders, with special expertise in sleep disorders, airway problems, ear infections, and hearing loss. He is a member of the American Academy of Otolaryngology-Head and Neck Surgery, American Society of Pediatric Otolaryngology, American Academy of Sleep Medicine, and Sleep Research Society.

• Medical Imaging
• Musculoskeletal Research
• Aging
• +۳ مورد دیگر

Matt Birkbeck is a researcher at Newcastle University , focusing on advanced medical imaging techniques for neuromuscular and musculoskeletal research. His work primarily involves the development and application of Motor Unit Magnetic Resonance Imaging (MUMRI) to study muscle function, aging, and mitochondrial diseases. Involvement in experimental medicine studies on sarcopenia and aging Key contributions to MUMRI methodology for motor unit analysis Collaborations with multidisciplinary teams in clinical and biomedical research His research spans Medical Imaging , Musculoskeletal Health , and Neurodegenerative Diseases , with recent publications highlighting applications of MUMRI in amyotrophic lateral sclerosis (ALS), exercise physiology, and post-COVID-19 physical activity studies. Key trends in his publications include: Development of non-invasive MRI techniques for motor unit visualization Investigation of muscle degeneration in aging and disease Pharmacological interventions (e.g., acipimox) for sarcopenia Quantitative analysis of muscle twitch dynamics and fasciculations

• Neuroimaging
• Neurosurgery
• Brain Tumors
• +۷ مورد دیگر

Natalie Voets is an Associate Professor at the FMRIB Centre, part of the Wellcome Centre for Integrative Neuroimaging (WIN) at the University of Oxford. Her research focuses on translational neuroimaging, particularly using MRI to study how brain functional networks and structural pathways adapt to disease, injury, and treatment. She collaborates closely with the Oxford Neuro-Oncology Surgery service, Glioma research group, Epilepsy Surgery Programme, and Oxford Traumatic Brain Injury (TBI) Research Group, with multidisciplinary ties to the Department of Engineering. Education: MA in Experimental Psychology (University of Oxford, 2002), D.Phil in Neuroimaging (FMRIB Centre, 2005) Professional Roles: Associate Professor, Principal Investigator, and Awake Intraoperative Neurosurgery Technician at OUH NHS Foundation Trust Her research explores brain plasticity in patients undergoing neurosurgery for brain tumours and traumatic brain injury, aiming to identify predictive biomarkers for surgical outcomes and recovery potential. Recent work emphasizes deep learning integration in hippocampus segmentation, clinical fMRI advancements, and longitudinal TBI studies in pediatric populations. She contributes to consensus guidelines like those from the Organization for Human Brain Mapping. Publications highlight her expertise in functional MRI for surgical planning, neural plasticity analysis, and hippocampal network studies, with a focus on bridging imaging innovations to clinical workflows. She has secured funding from prestigious sources such as the Medical Research Council and British Medical Association.

• Epilepsy
• Brain Imaging
• Autoantibodies in Neurological Disorders
• +۳ مورد دیگر

Jane Adcock is a Consultant Neurologist at John Radcliffe Hospital Oxford and an Honorary Senior Clinical Research Fellow at the Nuffield Department of Clinical Neurosciences, University of Oxford, serving as Clinical Lead for the Oxford Epilepsy and Epilepsy Surgery Programme since 2010. Her educational background includes: Bachelor of Medicine (B.Med) Doctor of Medicine (MD) Dr. Adcock's research centers on epilepsy , utilizing multi-modal brain imaging and immune approaches to investigate structural/functional brain differences in intractable epilepsy. Her dual focus on identifying surgical outcome predictors through advanced neuroimaging and characterizing auto-antibody roles in focal epilepsy positions her at the intersection of clinical neurology and precision medicine, aiming to develop individually-tailored treatments for refractory cases. Analysis of her publications reveals consistent emphasis on translating imaging biomarkers (7T MRI, fMRI, MRS) into clinical epilepsy management while pioneering auto-antibody screening protocols to expand immunotherapy eligibility. This work bridges neuroimaging innovation with neuroimmunological discovery to redefine treatment paradigms. Her scientific recognition includes: Sir Desmond Pond Fellowship by Epilepsy Research Foundation UK Research funding is secured from British Medical Association, Epilepsy Research UK, HDH Wills 1965 Trust, and OUP John Fell Fund. She leads the Epilepsy Imaging Research Group and maintains strategic collaborations with FMRIB Centre's Dr. Natalie Voets on neuroimaging and Professor Angela Vincent's team on neuroimmunology, integrating clinical expertise with cutting-edge laboratory science. The Epilepsy Imaging Research Group operates within NDCN's collaborative ecosystem, leveraging Oxford's neuroimaging infrastructure to advance surgical planning and biomarker discovery while maintaining strong ties with the Oxford Epilepsy Research Group for translational impact.