جست‌وجوی استاد و پژوهشگر

Eve Tsaiمشاهده پروفایل

استاد

• Spinal Cord Repair
• Neurosurgery
• Axonal Regeneration
• +۵ مورد دیگر

Dr. Eve Tsai is a Professor of Neurosurgery at the University of Ottawa, holding cross-appointments in Cellular and Molecular Medicine and affiliation with the Brain and Mind Research Institute (BMRI). She is also a practicing neurosurgeon at The Ottawa Hospital, specializing in spinal disorders and spinal cord injury repair. Her academic roles include leadership positions in graduate studies and research institutions. Education: MD (University of Toronto), PhD in Neurosciences (University of Toronto), Fellowship in Spine Surgery (Cleveland Clinic). Subspecialty training in spinal surgery. Research Interests: Focus on spinal cord repair strategies, axonal regeneration, MRI imaging of spinal cord tracts, and clinical outcomes post-surgery. Collaborates internationally on translational research and bioengineering approaches. Active in developing novel animal models and imaging techniques for neural regeneration. Teaching: Coordinates the Ottawa Spine Course and lectures in neurosurgery residencies, graduate programs, and fellowships. Supervises graduate students and residents in research methodology. Awards: Recognized nationally for leadership (Top 40 Under 40, 2010) and influence in health care (Top 25 Women of Influence, 2012-2013). Her work combines clinical excellence, research innovation, and humanitarian contributions. Affiliations: Associate Scientist at Neurosciences and Regenerative Medicine (Ottawa Hospital Research Institute), Member of the Ottawa-Carleton Institute of Biomedical Engineering. Serves on academic review committees and national research initiatives.

Christophe Tzourioمشاهده پروفایل

استاد

• Neuroepidemiology
• Consequences of hypertension on the brain
• Students’ mental health
• +۴ مورد دیگر

Christophe Tzourio is a Professor of Epidemiology at the University of Bordeaux and Co-director of the National Inserm School since 2023. He has led major research centers including the Bordeaux Population Health Research Center (Inserm U1219) since 2013, overseeing 13 teams and over 450 staff. His academic career spans roles at Inserm, Paris VI, and international visiting positions in Australia and New Zealand. Academic Rank: Professor Key Affiliations: Inserm, University of Bordeaux His research focuses on neuroepidemiology , particularly the consequences of hypertension on brain health , dilated perivascular spaces , and vascular brain lesions . He pioneered population-based cohort studies like the 3C Study (9,293 participants) and the i-Share e-cohort (16,000+ students) to investigate brain maturation and mental health. His work integrates big data , clinical trials , and digital public health methodologies. Recent publications highlight his contributions to stroke genetics , Alzheimer's disease etiology , and brain imaging biomarkers . Collaborative projects like the LEOPOLD trial and the Leducq Transatlantic Network demonstrate his impact on hypertension-related stroke prevention and vascular cognitive disorders. He serves on scientific committees for Public Health France and major journals like JAMA and Lancet . Scientific Awards: 2020-2024: French Ministry of Research - Award for Scientific Excellency 2012: Fondation Bettencourt Prize (€250,000) 2007: Founding Member, VASCOG

Ferdinand Schweserمشاهده پروفایل

دانشیار

• Quantitative MRI
• Brain Iron Metabolism
• Multiple Sclerosis
• +۳ مورد دیگر

Ferdinand Schweser is an Associate Professor at the Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, with joint appointments in Biomedical Engineering and Radiology. As Technical Director of the Center for Biomedical Imaging, his work focuses on quantitative MRI techniques , brain iron abnormalities in multiple sclerosis (MS) , and neurodegenerative disorders . His research includes paramagnetic rim lesions , quantitative susceptibility mapping (QSM) , and neuroinflammation in MS. Academic Rank: Associate Professor University: University at Buffalo School: Jacobs School of Medicine and Biomedical Sciences Department: Neurology Dr. Schweser’s research bridges advanced MRI methodologies with clinical applications in MS, emphasizing iron metabolism , gray and white matter pathology , and longitudinal disease progression . Current projects involve IRONMAP for tracking brain iron abnormalities and QSM algorithm validation . His work highlights paramagnetic rim lesions as predictors of relapse and disability in MS, alongside studies on thalamic atrophy and cognitive recovery . Articles also explore diffusion tensor imaging (DTI) , in vivo spinal cord imaging , and microglial activation in animal models. Key themes include neuroinflammation , iron dyshomeostasis , and biomarker development for neurodegenerative diseases. Contact: schweser@buffalo.edu | Office: 6045 Clinical and Translational Research Center, Buffalo NY

Yue Yanمشاهده پروفایل

استادیار مدعو

• MRI-guided radiation therapy
• Machine Learning in Radiation Therapy
• Personalized Radiation Therapy
• +۳ مورد دیگر

Yue Yan holds dual roles as Adjunct Assistant Professor of Engineering at Thayer School of Engineering and Assistant Professor of Radiation Oncology and Applied Sciences at Geisel School of Medicine, Dartmouth College. His expertise bridges medical physics and engineering, focusing on advancing radiation therapy techniques through innovative technologies. Education: BS in Sciences & Technology of Electronic Information, Xiamen University (2005) DSc in Theoretical Physics, Institute of Physics, Chinese Academy of Sciences (2010) PhD in Medical Physics, University of Wisconsin-Madison School of Medicine (2015) Research Interests: Dr. Yan’s work centers on improving radiation therapy precision through MRI-guided systems, machine learning applications, and personalized treatment planning. He investigates geometric distortion impacts in MRI imaging and explores novel dosimetric methodologies. Patents: System and method for control of external beam radiation (Patent #9486646)

Rosanna Olsenمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Memory Systems
• Medial Temporal Lobe Function
• +۴ مورد دیگر

Dr. Rosanna Olsen is an Associate Professor (Status Only) at the University of Toronto and a Scientist at the Rotman Research Institute (RRI), Baycrest. She leads the Olsen Lab, which investigates the neural organization of human memory systems using advanced neuroimaging techniques (fMRI, MEG), eye-tracking, and studies of amnesia patients. Her research focuses on medial temporal lobe function, memory formation across lifespan, eye-movement patterns in memory, thalamo-cortical interactions, and early biomarkers of cognitive decline in aging. Education: • PhD in Psychology (Cognitive Neuroscience) from Stanford University • Postdoctoral fellowship at Rotman Research Institute Research Focus: The Olsen Lab specializes in: 1) Structural and functional characterization of medial temporal lobe subregions in memory-impaired populations; 2) Neural oscillations and short-delay memory maintenance; 3) Eye-movement patterns as indirect memory measures; 4) Roles of thalamic nuclei in associative memory; 5) Promoting diversity in neuroscience. Methodologies include high-resolution MRI, fMRI, MEG, and behavioral paradigms. Article Trends: Recent publications (2020-2024) predominantly explore hippocampal subfield volumetry, aging-related memory decline, eye-movement patterns, thalamic contributions to memory, and inclusive academic practices. Over 70% involve neuroimaging analyses, with consistent focus on preclinical Alzheimer's biomarkers and hormonal influences on cognition. Advising: Actively mentors graduate students (Psychology, University of Toronto) and oversees postdoctoral fellows. Current trainees include 4 PhD candidates and 2 postdocs researching thalamic memory pathways, oscillatory dynamics, and visual discrimination in aging. The lab employs 5 research assistants. Lab & Collaborations: Directs the Olsen Lab at Baycrest with 11 active members. Collaborates with Drs. Jennifer Ryan (Baycrest), Brad Buchsbaum (Baycrest/UofT), Morris Moscovitch (UofT), and international consortia including the Hippocampal Subfields Group. Research has been featured in Science Daily and Neuroscience News .

• Cardiac Resynchronization Therapy
• Cardiac Imaging
• Heart Failure Treatment
• +۳ مورد دیگر

Bradley Porter is an academic researcher affiliated with King's College London, contributing to advancements in cardiac electrophysiology and medical device innovation. His work focuses on Cardiac Resynchronization Therapy (CRT), cardiac imaging techniques, and the application of deep learning in cardiology. Dr. Porter collaborates extensively with institutions globally on projects involving computational modeling of cardiac mechanics and clinical trials for heart failure management. His research integrates biomedical engineering principles with clinical practice, aiming to improve patient outcomes through optimized pacing strategies and diagnostic tools. Key research interests include: Development of leadless cardiac devices Machine learning for medical image analysis Mechanistic understanding of arrhythmias Triventricular pacing methodologies Recent publications highlight innovations in electrode implantation guidance, model calibration for MRI classification, and predictive modeling for CRT response. His team's virtual cohort of ischemic cardiomyopathy models has advanced personalized treatment approaches. Collaborations span institutions including the University of Auckland and the University of Glasgow.

Alexandra Armstrongمشاهده پروفایل

استادیار

• Veterinary Anatomic Pathology
• Musculoskeletal Biology
• Osteoarthritis Research
• +۲ مورد دیگر

Alexandra Armstrong is an Assistant Professor in the Department of Veterinary Clinical Sciences at the University of Minnesota's College of Veterinary Medicine. She holds a PhD and DVM from the University of Minnesota, with a residency in Veterinary Anatomic Pathology and a Comparative Pathology Fellowship from Johns Hopkins University. Educational Background: PhD, University of Minnesota DVM, University of Minnesota Veterinary Anatomic Pathology Resident, University of Minnesota Comparative Pathology Fellowship, Johns Hopkins University Dr. Armstrong's research focuses on musculoskeletal diseases in animal models, particularly Legg-Calvé-Perthes disease and osteoarthritis, using advanced MRI techniques for early detection of cartilage and bone changes. Her work bridges veterinary pathology with translational medical research, developing quantitative imaging biomarkers and exploring molecular mechanisms in osteochondral disorders. Recent publications highlight her expertise in 10.5T MRI analysis, ischemia-induced cartilage injury, and metabolic factors in arthritis progression. She contributes to clinical research on antibiotic delivery systems in implant infections and comparative pathology in non-human primates. Her methodological innovations include optimizing histologic grading schemes for osteoarthritis models and investigating vitamin K's role in joint aging. Research interests span veterinary clinical sciences, musculoskeletal biology, and ethical standards in animal research. Notable Research Areas: MRI-based cartilage imaging Legg-Calvé-Perthes disease models Osteochondritis dissecans Obesity- and aging-related arthritis High-field MRI biomarkers Comparative orthopedic pathology Dr. Armstrong maintains affiliations with the Comparative and Molecular Biosciences program and actively contributes to clinical and academic veterinary sciences through her research, teaching, and practice.

Gil Rabinoviciمشاهده پروفایل

استاد

• Neurodegenerative Disorders
• Molecular Imaging
• Dementia
• +۳ مورد دیگر

Dr. Gil Rabinovici is a Professor in the Department of Neurology at the University of California San Francisco (UCSF) School of Medicine. He leads the PET program at the UCSF Memory & Aging Center and serves as the Associate Director of the UCSF Alzheimer's Disease Center, where he also Co-Leads the ADRC Administrative and Imaging Cores. Nationally, he serves as Study Chair for the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) study and as co-PI and PET Core Director for the Longitudinal Early-Onset Alzheimer's Disease Study (LEADS). Dr. Rabinovici's research focuses on utilizing multi-modal neuroimaging techniques and biomarkers to improve early detection and diagnostic accuracy in dementia and to study mechanisms of neurodegenerative diseases. His work emphasizes advancing understanding of heterogeneous neurodegenerative disorders through novel molecular imaging tools with the goal of developing personalized care and tailored treatments for people with cognitive decline. The Rabinovici Lab (RABLab) has collaborated closely for more than a decade with Dr. Bill Jagust's group at UC Berkeley/Lawrence Berkeley National Laboratory to bring cutting-edge molecular imaging techniques to diverse patient cohorts. Analysis of Dr. Rabinovici's recent publications reveals a strong focus on amyloid and tau PET imaging, early detection strategies for Alzheimer's disease, and the application of neuroimaging biomarkers in both clinical practice and drug development. His work spans from basic mechanisms of neurodegeneration to large-scale implementation studies like IDEAS, demonstrating a translational research approach that bridges laboratory discoveries with clinical applications. Dr. Rabinovici actively mentors students and researchers, with recent successes including Marlene's Master's thesis defense. His lab continues to produce significant publications, with July 2025 seeing new research output. The RABLab's collaborative approach with UC Berkeley has accelerated drug development while improving patient care through advanced imaging techniques. Dr. Rabinovici leads the In Vivo Molecular Neuroimaging Lab (RABLab) at UCSF, which focuses on applying novel PET tracers along with structural and functional MRI to a broad spectrum of neurodegenerative diseases. The lab's work spans clinical applications, methodological development, and mechanistic studies of dementia.

Pak-Wing Fokمشاهده پروفایل

استاد

• Applied Mathematics
• Mathematical Biology
• Cardiovascular Modeling
• +۱۲ مورد دیگر

Pak-Wing Fok is a Professor in the Department of Mathematical Sciences at the University of Delaware, within the College of Arts & Sciences. M.Sci. - Imperial College Ph.D. - Massachusetts Institute of Technology Postdoctoral - California Institute of Technology Postdoctoral - University of California, Los Angeles As an applied mathematician, Dr. Fok uses mathematical models to gain insight into complex problems from biology and the physical sciences, with a particular focus on cardiovascular diseases. His research spans multiple areas: Mathematical Modeling of Cardiovascular Systems : He investigates atherosclerosis and diabetes-related vascular complications, focusing on how mechanical properties and geometry of arteries change in these diseases. His work helps understand how plaque formation and rupture can lead to myocardial infarction or stroke. Mechanics of Growth : This research involves modeling biological systems where growth is a dominant feature, such as diseased blood vessels and bacterial chains. He studies how tissues undergo volumetric growth or resorption under mechanical deformation. MRI Parameter Estimation : He develops algorithms to improve parameter estimation in magnetic resonance imaging, addressing the challenge of inferring parameters from noisy signals in multi-component exponential functions. Dr. Fok's recent publications reflect his interdisciplinary approach, combining mathematics, biology, and biomedical engineering. His work includes computational modeling of vulnerable plaques, stochastic processes in biophysics, and mathematical approaches to understanding vascular disease progression. Dr. Fok has supervised numerous graduate students whose theses have focused on topics including: Simulation of Intimal Thickening Stochastic Modeling of Toxin Effects Finite Element Simulation of Atherosclerotic Plaque Estimation and Inference in Imaging and Biophysics Portfolio Theory Applications Analysis of Exit Time Problems His methodology combines partial differential equations, asymptotic methods, stochastic analysis, and simulations to tackle complex problems in both biological systems and operations research.

• Alzheimer's Disease Research
• Cognitive Neuroscience
• Neuropsychology
• +۳ مورد دیگر

Holly Phelps serves as an Assistant Professor in the Department of Behavioral Medicine & Psychiatry at West Virginia University School of Medicine, where she conducts research at the intersection of cognitive neuroscience and behavioral medicine. Her academic foundation includes a PhD in Psychology from Pacific University's School of Graduate Psychology (2021), providing rigorous training in experimental methodology and clinical assessment. Dr. Phelps' research program focuses on Alzheimer's disease biomarkers and mild cognitive impairment (MCI) , with particular expertise in amyloid-positive versus amyloid-negative differentiation . She employs advanced neuroimaging techniques including structural MRI and metabolic imaging to investigate memory consolidation mechanisms , brain atrophy patterns , and cortical thickness changes in early neurodegenerative processes. Her work uniquely bridges traditional neuropsychology with contemporary behavioral challenges, as evidenced by her research on technology's cognitive impacts. Analysis of her 2023-2025 publications reveals a cohesive research trajectory examining how temporal and parietal lobe atrophy correlates with memory deficits in biomarker-defined Alzheimer's subgroups. Her studies consistently integrate multi-modal assessments of brain structure, metabolism, and cognitive performance, establishing her as a contributor to precision medicine approaches in neurodegenerative disorders. The inclusion of smartphone dependency research demonstrates her expanding focus on environmental modulators of cognitive health. Dr. Phelps maintains active collaborations with neurologists, psychiatrists, and imaging specialists across multiple institutions, as reflected in her co-authorship on high-impact publications in Alzheimer's & Dementia and Journal of Alzheimer's Disease . Her research program demonstrates significant translational potential for early diagnostic frameworks in cognitive disorders.

Joanne Stocksمشاهده پروفایل

عضو هیئت علمی

• Healthy Ageing
• Nutrition in Frailty and Osteoarthritis
• Musculoskeletal Health
• +۵ مورد دیگر

Dr. Joanne Stocks is a Senior Research Fellow at the University of Nottingham, affiliated with the NIHR Nottingham BRC Musculoskeletal, Surgery, Inflammation and Recovery theme and the Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis . Her research focuses on healthy ageing, nutrition's role in osteoarthritis and frailty, molecular signatures in military populations, and digital health solutions for musculoskeletal care. Key Projects : Bio-Mil-OA (military osteoarthritis biomarkers), HealthScout app (electronic PROMs collection), ReStARt (arthrofibrosis physiotherapy optimization), and OA Trial Bank (predictive biomarker analysis). Policy Advocacy : Leading efforts for nationwide implementation of electronic musculoskeletal PROMs through the University of Nottingham's Institute for Policy and Engagement. Research Trends : Analysis of 20+ articles reveals expertise in osteoarthritis biomarkers, exercise physiology, digital health technology validation, and pain mechanisms in military and athletic populations. Subtopics include topical treatments for OA pain, arthrofibrosis rehabilitation, and pandemic-related shifts in physical activity patterns. Scientific Awards : NIHR Nottingham BRC conference poster prize, Microsoft Azure grant, QR Policy Support Fund grant, and School of Medicine travel award. Teaching & PPI : Module convenor for BMedSci PPI in Research and developer of the Student Patient Alliance PPI Buddy Scheme.

Kai Jun Seeمشاهده پروفایل

مدرس

• Deep Learning
• Statistical Modeling
• Network Science
• +۳ مورد دیگر

Kai Jun See is an Assistant Lecturer at the School of Information Technology, Monash University Malaysia. He holds a Master of Data Science from the University of Malaya (2019) and a Bachelor of Science (Statistics) from National University of Malaysia (2016). His research focuses on community detection in brain networks using deep learning, with applications in connectomics and functional MRI analysis. Before joining academia, he worked in fintech, automation, media, and banking industries for over five years. Education: PhD Candidate (2022–present): Monash University Malaysia (Supervisors: A/Prof Chee-Ming Ting, Dr Fuad Noman, Prof Raphaël Phan) Master of Data Science (2017–2019): University of Malaya Bachelor of Science (Statistics) (2013–2016): National University of Malaysia Research interests include statistical modeling, network science, and time-series analysis applied to neuroimaging data. His recent work explores multi-graph embedded clustering techniques for functional brain network analysis across individuals, contributing to UN Sustainable Development Goal 4 (Quality Education) through data-driven methodologies. No scientific awards are explicitly mentioned in the provided texts. Advising and grant details are not disclosed. His work is part of collaborative efforts in connectomics and brain network research, with affiliations to Monash University’s School of Information Technology.

• Magnetic Resonance Imaging (MRI)
• Nuclear Magnetic Resonance (NMR) Spectroscopy
• Alzheimer's Disease Biomarkers
• +۳ مورد دیگر

Dr. Alia Alia is an Assistant Professor at Leiden University's Leiden Institute of Chemistry (LIC), part of the Faculty of Science. Her research focuses on advancing MRI and NMR techniques to study neurodegenerative diseases, particularly Alzheimer's, and environmental toxin impacts on organisms like zebrafish. She has held academic positions since 1995, including a JSPS fellowship in Japan and roles at Jamia Millia University, New Delhi. Education: PhD in Bioscience (1992), Jamia Millia University M.Sc. in Biosciences (1989), Jamia Millia University B.Ed. (1988), Jamia Millia University B.Sc. in Life Sciences (1986), University of Delhi Research Interests: Alia's work combines cutting-edge MRI/NMR methodologies with biological systems to explore Alzheimer's biomarkers, neurochemical changes, and toxin effects. She pioneers applications of HR-MAS NMR to study nanoplastics and PFAS toxicity. Her lab uses zebrafish as a versatile model for human disease mechanisms. Publications: Over 50 peer-reviewed articles, including studies on sex-specific GABA alterations in Alzheimer's models, microstructural changes in zebrafish muscles, and nanoplastic-induced amyloid fibrillation. Awards: C.J. Kok Prize for Discovery of the Year (2004) Alzheimer Forschung Initiative Grant (2013) Japan Society for Promotion of Science Fellowship (1996) Labs/Teams: Leads the Alia Group at Leiden University, collaborating internationally on neuroimaging and toxicology projects. Collaborations include Leipzig University and institutions in Japan.

Stephanie M. Engelمشاهده پروفایل

استاد

• Perinatal and Reproductive Epidemiology
• Children’s Environmental Health
• Environmental Health Sciences
• +۳ مورد دیگر

Dr. Stephanie M. Engel is a Professor in the Department of Epidemiology at the University of North Carolina at Chapel Hill’s Gillings School of Global Public Health. She holds leadership roles as Deputy Director of the Center for Environmental Health and Susceptibility (CEHS), Director of the UNC Center for Early Life Exposure and Neurotoxicity, and Associate Director for Population Science at the UNC Biomedical Research Imaging Center. Her expertise spans Perinatal and Reproductive Epidemiology and Children’s Environmental Health, with a focus on xenobiotic exposures’ impacts on pregnancy outcomes and child development. She has secured over $25M in research funding and published extensively in environmental health sciences. Dr. Engel earned a BA/BS in Psychology and Animal Physiology/Neuroscience from UC San Diego (1997), followed by an MSPH (2000) and PhD (2003) in Epidemiology from UNC Chapel Hill. She teaches “Advanced Methods in Perinatal and Pediatric Epidemiology” (EPID 853) and co-directs an NIEHS-funded T32 training program supporting 28 trainees across three departments. Her research integrates environmental exposures (e.g., phthalates, pesticides) with neurodevelopmental and reproductive health outcomes. Notable projects include studies on phthalate exposure and preterm birth (pooled analysis of 16 US cohorts), vaginal microbiome racial disparities in preterm birth, and maternal thyroid function’s role in ADHD risk. She has pioneered neurotoxicity studies using advanced imaging techniques. Dr. Engel’s work has been recognized with the John E. Larsh Jr. Excellence in Mentoring Award (2017). Her grants include NIMHD R01 funding for vaginal microbiome research and an EPA Early Life Center grant. She collaborates widely on initiatives like the HEALthy Brain and Child Development Study and the UNC Baby Connectome Project. Key contributions include advancing methods for exposure mixture analysis, studying prenatal pesticide effects on ADHD, and linking environmental neuroactive chemicals to human health. Her interdisciplinary approach bridges epidemiology, toxicology, and public health policy to address environmental inequities.

Udita Iyengarمشاهده پروفایل

مدرس

• Maternal and Infant Attachment
• Perinatal Mental Health
• Neuroscience of Attachment
• +۳ مورد دیگر

Dr Udita Iyengar is a Lecturer in Psychosis Studies at King’s College London’s Institute of Psychiatry, Psychology & Neuroscience (IoPPN). She holds roles in the Department of Psychosis Studies and teaches on MSc Mental Health Studies and MSc Early Intervention in Psychosis programmes. Udita completed her PhD in 2016 at University College London (UCL) on maternal attachment and trauma neuroscience under Prof. Peter Fonagy and Dr. Lane Strathearn. She transitioned from postdoctoral research at Baylor College of Medicine (USA) to King’s in 2016, coordinating projects like c-VEDA and the Best Services Trial. She co-leads the Basic Mental Health and Women’s Mental Health module and pioneered the IoPPN’s first Lived Experience module, co-produced with experts by experience. Education: MSc from University College London and Yale University; PhD in Neuroscience of Attachment from UCL (2016). Research focuses on maternal-infant attachment, perinatal mental health, and integrating lived experience into education. Udita leads CORE-UNITY, a student advisory group for racially minoritized students, enhancing student wellbeing. Awards include KCL Public Engagement Awards (2017 and 2023). She actively engages in public talks, such as the 2025 ‘Voices of Experience’ event addressing mental health stigma. Her recent research spans extreme heat’s mental health impacts, postpartum psychosis advocacy, and neurocognitive effects of arsenic exposure. She contributes to global mental health initiatives and co-authored over 15 peer-reviewed articles, emphasizing translational research and policy implications.