جست‌وجوی استاد و پژوهشگر

Michelle Yongmei Wangمشاهده پروفایل

دانشیار

• Quantitative Psychology
• Statistical Methods
• Machine Learning
• +۴ مورد دیگر

Michelle Yongmei Wang serves as Associate Professor at the University of Illinois at Urbana-Champaign, holding joint appointments in the Department of Psychology (College of Liberal Arts & Sciences), Statistics, and Bioengineering. She maintains active research affiliations with the Beckman Institute and Center for Global Studies. Her research spans quantitative psychology with emphasis on statistical methods, machine learning, and neuroimaging analysis. Primary interests include covariance structure modeling, signal processing, precision medicine applications, and cognitive psychology frameworks. Her work integrates advanced mathematical techniques with psychological and biomedical data to develop robust analytical tools for brain imaging and behavioral research. Dr. Wang's publication history reveals consistent focus on methodological innovation in neuroimaging and statistical modeling, particularly in dynamic functional connectivity, outlier detection, and predictive modeling using fMRI data. Her research demonstrates strong interdisciplinary connections between psychology, engineering, and data science. She teaches advanced courses including Covariance Structure and Factor Models, Methods of Applied Statistics, Image and Neuroimage Analysis, and Signals and Systems, reflecting her technical expertise in quantitative methods.

Herwig Baierمشاهده پروفایل

استاد

• Neuroscience
• Neurobiology
• Zebrafish research
• +۷ مورد دیگر

Prof. Dr. Herwig Baier is the Director of the Genes – Circuits – Behavior department at the Max Planck Institute for Biological Intelligence. He is a regular member of the Munich Cluster for Systems Neurobiology (MCN) and the Graduate School in Systemic Neuroscience (GSN). His research focuses on understanding how neuronal circuits integrate sensory inputs and internal states to generate behavior, using zebrafish and cichlids as model organisms. Education : Biology studies at University of Konstanz, PhD (1995) at Max Planck Institute for Developmental Biology, postdoc at University of California, San Diego (1995-1998). Academic Roles : Professor at University of California, San Francisco (1998-2012), then Director at Max Planck Institute (since 2011). His research interests span neuroscience, connectomics, optogenetics, molecular genetics, and behavioral biology , with a focus on mapping brain connectivity, developing technologies for circuit interrogation, and linking genes to neural circuits to behavior. His recent publications highlight work in transcriptomic neuron classification, physiological history recording via chemical labeling, retinal evolution, and visuomotor transformations. Students include Johannes Kappel and graduated researchers like Thomas Helmbrecht and Ksenia Yashina. He employs advanced imaging, molecular, and computational approaches to study sensory perception and motor behavior in aquatic models. Contact: Email: herwig.baier@bi.mpg.de Department: Genes – Circuits – Behavior

Igor Yakushevمشاهده پروفایل

دانشیار

• Molecular Imaging
• Multimodal Neuroimaging
• Neurodegenerative Disorders
• +۷ مورد دیگر

Igor Yakushev is a Privatdozent (PD) and Senior Consultant in Nuclear Medicine at the Technical University of Munich (TUM), Department of Nuclear Medicine. He is the Head of Neuroimaging and a full member of the Graduate School of Systemic Neurosciences (GSN), as well as an associate member of MCN. His work bridges clinical nuclear medicine and advanced neuroimaging research, with a focus on understanding cognition in health and disease. Research Interests: Dr. Yakushev leads the research group multimodal imaging of normal and pathological cognition , centered on brain connectivity. His team employs positron emission tomography (PET), structural and functional MRI, and diffusion-weighted imaging to explore the neural mechanisms underlying cognitive function and decline. A key focus is the integration of molecular imaging into connectomics, notably through the Molecular Connectivity consortium. The recent publications highlight a strong trend in simultaneous multimodal imaging , particularly PET/fMRI, to dissect neurocognitive networks in dementia and working memory. His work emphasizes the development and application of imaging biomarkers for neurodegenerative disorders, with significant contributions to understanding amyloid dynamics and brain network integrity. Scientific Awards: Featured article in Alzheimer’s & Dementia (2018) Advising and Grants: Dr. Yakushev actively supervises several students, including Dr. Isabelle Ripp, Yifan Mayr, Shuqi Xie, and Dilara Steenken. While specific grants are not listed, his leadership of a dedicated research group and participation in a major consortium suggest active grant funding in neuroimaging and dementia research. Labs and Teams: He leads the multimodal imaging of normal and pathological cognition research group and is central to the Molecular Connectivity consortium, which aims to advance the field of molecular connectomics by integrating PET with other neuroimaging modalities.

Stamatios Sotiropoulosمشاهده پروفایل

دانشیار

• Brain Imaging
• Diffusion MRI
• Tractography
• +۳ مورد دیگر

Dr. Stamatios Sotiropoulos is an Associate Professor at the Sir Peter Mansfield Imaging Centre , University of Nottingham , with prior affiliations as Principal Investigator and Postdoctoral Research Associate at the FMRIB Centre , University of Oxford . He leads the Computational Neuroimaging (CoNI) Laboratory , focusing on advanced MRI methodology for brain connectome mapping. PhD in Brain Image Analysis (University of Nottingham, 2010) MSc in Biomedical Engineering (University of Minnesota, 2005) BSc in Electronics & Computer Engineering (Technical University of Crete, 2003) His research spans diffusion MRI , tractography , and connectome modeling , with applications in brain aging , neurodegenerative diseases , and cross-species neuroanatomy . Recent work includes AI-driven QC , probabilistic inference , and cross-modal integration . Grants include major awards from the European Research Council (2020), Wellcome Trust , and EPSRC . The lab has developed widely-used tools like XTRACT , CUDIMOT , and NFacT within the FSL framework. 2021 Clarivate Highly Cited Researcher ISMRM 2022 Merit Awards Notable students include Shaun Warrington (PhD, 2021) and José-Pedro Manzano-Patrón (PhD, 2022). Collaborations span the Human Connectome Project , Developing Human Connectome Project , and Centre for Mesoscale Connectomics .

• Neuroscience
• Electron Microscopy
• Mitochondrial Dysfunction
• +۶ مورد دیگر

Mark Ellisman is a Professor of Neurosciences at the University of California, San Diego's School of Medicine. He directs the National Center for Microscopy and Imaging Research (NCMIR), a leading resource for advanced electron microscopy and 3D imaging technologies. His research integrates molecular, cellular, and systems neuroscience with a focus on ultrastructural analysis of neural circuits, mitochondrial dynamics in neurodegeneration (e.g., Alzheimer's), circadian biology, and synaptic plasticity. Ellisman's work employs cutting-edge techniques including multiscale electron microscopy, correlated light/EM, and computational modeling. Key research themes include: Mitochondrial dysfunction in aging and neurodegenerative disorders Nanoscale architecture of synapses and memory engrams Mechanisms of neuroinflammation and vascular contributions to cognitive decline Development of novel imaging probes and computational tools for connectomics His publication trends emphasize high-resolution imaging of neural and subcellular structures (e.g., photoreceptors, synapses, chromatin), disease mechanisms in Alzheimer's/glaucoma, and circadian neuroplasticity. Recent articles frequently utilize genetically encoded tags for EM, volume EM reconstruction, and multimodal imaging. Ellisman leads major NIH-funded initiatives including the BRAIN Technology Resource for scalable electron tomography (MH129261), studies on mitochondrial dysfunction in Alzheimer's (AG081037), and instrumentation grants supporting advanced EM infrastructure. He mentors interdisciplinary teams at NCMIR developing open-source tools for large-scale EM data analysis.

Natasha Sigalaمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Clinical Neuroscience
• Learning and Memory
• +۱۶ مورد دیگر

Dr Natasha Sigala is an Associate Professor in Neuroscience (Clinical Neuroscience) at the Brighton and Sussex Medical School, University of Sussex. She leads research in cognitive neuroscience with a focus on learning, memory, attention, and brain mechanisms across the lifespan. Her work integrates psychophysics and fMRI to investigate neural representations in visual perception, working memory, and cognitive control. University of Sussex (2010–present) MRC Cognition and Brain Sciences Unit, Cambridge (2006–2010) Department of Experimental Psychology, University of Oxford (2002–2006) Max Planck Institute for Biological Cybernetics, Tübingen (1997–2002) Her research interests include visual perception, working memory, associative memory, attention, cognitive control, executive functions, expertise, categorisation, and ageing. She employs advanced neuroimaging and psychophysical methods to explore how the brain supports these cognitive processes, particularly in middle age and older adults. The 15 most recent publications highlight a strong trend in cognitive and clinical neuroscience, with a focus on memory mechanisms, neuroimaging, mental health, and systematic reviews. Key themes include working memory in synaesthetes, insight in psychotic disorders, auditory hallucinations, functional neurological disorders, and the impact of climate change on mental health. Her work spans fundamental neuroscience to applied clinical research. Royal Society Dorothy Hodgkin Fellowship Dr Sigala supervises numerous PhD, MSc, and undergraduate research students across the University of Sussex and BSMS. She has secured significant research funding from bodies including the Academy of Medical Sciences, MRC, Alzheimer’s Research Trust, and Royal Society. Her leadership roles include Module Leader for Neuroscience and Behaviour, Teaching Lead, and Research Lead in the Department of Neuroscience. She also contributes to institutional governance as a Governor for the Sussex Partnership Trust Council of Governors. She leads a research lab focused on brain mechanisms of learning and memory, particularly in middle age, aiming to enhance brain resilience and prevent cognitive decline. Her team investigates sensorimotor learning and executive functions, contributing to the growing field of brain health and neurocognitive ageing.

Heath Pardoeمشاهده پروفایل

دانشیار مدعو

• Epilepsy
• Magnetic Resonance Imaging (MRI)
• Neuroimaging
• +۶ مورد دیگر

Heath Pardoe is an Adjunct Associate Professor (Research) in the Department of Neuroscience at Monash University. His research focuses on epilepsy and its neurological underpinnings, primarily using Magnetic Resonance Imaging (MRI) to analyze brain changes and support surgical planning for severe epilepsy cases. He is also dedicated to advancing statistical methodologies for large-scale, multi-site neuroimaging studies. His research interests span epilepsy , neuroimaging , brain structure analysis , cognitive deficits , and statistical modeling in neuroscience . These areas are central to understanding the causes and consequences of neurological disorders and improving clinical outcomes. Recent publications highlight a strong focus on collaborative mega-analyses, particularly through the ENIGMA consortium and the Human Epilepsy Project. His work explores verbal memory deficits across disorders, brain volume alterations in epilepsy, psychiatric comorbidities, and technical aspects of MRI data such as head motion effects on structural covariance. These studies reflect interdisciplinary trends combining clinical neurology, psychiatry, and advanced data science. No scientific awards are listed in the provided text. He advises or collaborates with a broad network of researchers across international consortia, though specific student advisees are not mentioned. His involvement in major projects like ENIGMA and the Human Epilepsy Project underscores his role in large collaborative grants and data-sharing initiatives. These efforts are instrumental in mapping brain changes in epilepsy and developing robust research frameworks. He is involved with major research networks including the ENIGMA-Epilepsy Working Group and the Human Epilepsy Project , which facilitate global collaboration in neuroimaging and epilepsy research.

Stephanie Nobleمشاهده پروفایل

استادیار

• Neuroscience
• Data Science
• Neuroimaging
• +۳ مورد دیگر

Dr. Stephanie Noble is an Assistant Professor in the Departments of Psychology and Bioengineering at Northeastern University, with a joint appointment in the Center for Cognitive and Brain Health. Her research focuses on developing statistical and computational tools to enhance precision in human neuroscience inference and prediction, bridging data science, neuroscience, and open science. She co-founded the EEG startup goBlue Labs and has consulted for organizations like Source Signal Imaging and Elite Warrior Identification. Education: PhD, Interdepartmental Neuroscience Program, Yale University (2019) BSE, Chemical & Biological Engineering, Princeton University (2012) Research Interests: Dr. Noble's work addresses methodological challenges in neuroimaging, including data leakage, batch effects, and reproducibility. She emphasizes open science practices and inclusive scientific design. Her research explores functional connectivity, predictive modeling of brain-phenotype relationships, and applications in mental health and aging populations. Articles Trends: Her recent publications highlight advancements in connectome-based prediction, machine learning robustness, and neuroimaging reproducibility. Key themes include improving predictive models' generalizability, mitigating biases in datasets, and leveraging large-scale neuroimaging cohorts like the UK Biobank. Scientific Awards: No awards explicitly mentioned in the text. Advising & Grants: While specific grants are not detailed, her dual appointments and startup involvement suggest active research funding and collaboration. She advises on open science protocols and interdisciplinary projects. Labs & Teams: Affiliated with Northeastern's Center for Cognitive and Brain Health and goBlue Labs, focusing on translational neuroscience and EEG technology.

William Smithمشاهده پروفایل

استاد

• Developmental Biology
• Neuroscience
• Molecular Biology
• +۳ مورد دیگر

William Smith is a Professor in the Department of Molecular, Cellular & Developmental Biology at the University of California, Santa Barbara (UCSB). He earned his undergraduate and graduate degrees in Biology from UC Santa Cruz, followed by postdoctoral research at the University of Strasbourg (France) and UC Berkeley. His laboratory focuses on understanding chordate nervous system development and function, using the amphibian Xenopus and tunicate Ciona as model organisms. Key research areas include neural tube closure mechanisms, sensorimotor circuitry, and the evolution of central nervous system structures. Smith's work has advanced understanding of how T-type calcium channels regulate neural tube closure in both Ciona and vertebrates. Recent studies explore glutamate receptor roles in Ciona's sensorimotor circuits and the integration of visual and gravitactic behaviors. His lab employs cutting-edge techniques in neuroimaging, computational biology, and behavioral analysis. Collaborations with groups like the Interdepartmental Graduate Program in Dynamical Neuroscience at UCSB highlight his interdisciplinary approach. Publications since 2024 investigate deep homologies in chordate CNS structures and reveal conserved neural circuit architectures. His research bridges developmental genetics, molecular biology, and neurophysiology, contributing to both basic science and evolutionary biology. The Smith Lab is actively engaged in training graduate students and postdoctoral researchers in these areas.

Gang Liمشاهده پروفایل

دانشیار

• Medical Imaging
• Neuroimaging
• Machine Learning in Neuroscience
• +۳ مورد دیگر

Gang Li, PhD, is an Associate Professor in the Department of Radiology at the University of North Carolina School of Medicine, affiliated with the UNC IDEA Group (BRIC). His research focuses on advancing computational methods for neuroimaging analysis, particularly in infant and pediatric brain development. He holds a PhD from Northwestern Polytechnical University (Xi’an, China) and completed research fellowships at Weill Medical College of Cornell University and The Methodist Hospital Research Institute. Dr. Li’s work integrates machine learning, artificial intelligence, and medical imaging to study brain development trajectories, functional connectivity, and the impact of environmental factors. His lab develops innovative algorithms for brain MRI analysis, including cortical surface reconstruction, functional connectivity prediction, and automated segmentation. Recent studies address topics such as prenatal phthalate exposure effects, maternal obesity influences on neonatal brain structure, and longitudinal cortical morphological changes in infants. Publications highlight his expertise in federated learning for limited-data scenarios, deep learning applications in fetal brain imaging, and the creation of 4D infant brain atlases. His work emphasizes translational research, aiming to improve early diagnosis of neurodevelopmental disorders and enhance clinical decision-making through advanced imaging analytics. Though no specific awards are listed, his extensive contributions to neuroimaging methodology and infant brain research reflect a high-impact academic profile. He advises students on cutting-edge projects at the intersection of AI and medical imaging, with a focus on reproducible and scalable solutions for neuroimaging challenges.

Li Wangمشاهده پروفایل

دانشیار

• Medical Imaging
• Neurodevelopment
• Machine Learning in Healthcare
• +۳ مورد دیگر

Li Wang, PhD, is an Associate Professor in the Department of Radiology at the UNC School of Medicine , University of North Carolina. They lead the UNC Image Analysis Group (BRIC) , focusing on computational neuroimaging and machine learning applications in medical diagnostics. Their work integrates advanced imaging techniques with AI to study brain development, neurological disorders, and prenatal environmental exposures. Dr. Wang holds a PhD from Nanjing University of Science and Technology and a fellowship from UNC. Research interests include infant brain development modeling, MRI enhancement techniques, and predictive analytics for neurodegenerative diseases. Their team develops algorithms for longitudinal brain mapping, cortical surface analysis, and cross-species neuroimaging (e.g., macaques). Recent studies address prenatal drug exposure impacts, functional connectivity fingerprints, and Alzheimer's prediction using anatomical priors. Awards include the University of North Carolina Fellowship. Their work bridges clinical radiology with computational science, emphasizing translational research for pediatric and geriatric neurological conditions. Key contributions include the iBEAT V2.0 infant cortical reconstruction pipeline, 4D infant brain atlases, and frameworks for multi-site MRI harmonization. Current projects explore AI-driven diagnostics for autism and opioid-exposed infants, leveraging large-scale longitudinal datasets.

Chiara Nosartiمشاهده پروفایل

استاد

• Neurodevelopment
• Mental Health
• Preterm Birth Outcomes
• +۳ مورد دیگر

Chiara Nosarti is a Professor of Neurodevelopment and Mental Health at King's College London's Department of Child & Adolescent Psychiatry, part of the Institute of Psychiatry, Psychology & Neuroscience (IoPPN). She leads the Neurodevelopment and Mental Health Group and heads Psychology and Outcome Studies at the Centre for the Developing Brain. Her work focuses on neurodevelopmental consequences of preterm birth, using multidisciplinary approaches to study brain structure/function in at-risk populations. Research interests include the long-term effects of premature birth on brain development, cognitive outcomes, and mental health. She leads longitudinal cohort studies like BIPP (brain development in preterm children) and e-BRAIN (examining early adversity impacts). Her work has been funded by EU initiatives like R2D2-MH, exploring neurodevelopmental diversity risks. Key contributions include identifying cortical and white matter alterations in preterm individuals, linking brain structure to emotion regulation and executive function deficits. Her lab uses advanced neuroimaging (fMRI, DTI, PET) and dietary studies to investigate biological pathways in mental health. Media engagements include BBC, New York Times, and collaborations with the Duchess of Cambridge. Recent studies highlight genetic and environmental influences on birth weight and neurodevelopment. She collaborates internationally on projects like the Developing Human Connectome Project, advancing neonatal imaging techniques. Grants include MRC funding for congenital heart disease neurodevelopmental studies and CELEBRATE for adolescent biological research engagement.

Pratik Mukherjeeمشاهده پروفایل

استاد

• Neuroimaging
• Traumatic Brain Injury
• Neurodevelopmental Disorders
• +۵ مورد دیگر

Pratik Mukherjee, MD, PhD, is a Professor in Residence in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco (UCSF) School of Medicine. He holds dual appointments in Radiology and Biomedical Imaging and serves as an attending neuroradiologist at UCSF. Dr. Mukherjee directs the Center for Imaging of Neurodegenerative Disease (CIND) based at the San Francisco VA Medical Center and the Neural Connectivity Laboratory (NCL) at UCSF China Basin. Dr. Mukherjee received his B.A. in Computer Science & Psychology from Yale University (1988), PhD in Neuroscience from Rockefeller University (1994), and MD from Cornell University (1995). He completed his internship in Internal Medicine at New York Hospital - Cornell Medical Center, followed by residency in Radiology and fellowship in Neuroradiology at Washington University Medical Center (completed 2002). His primary research focuses on neurodevelopmental disorders and traumatic brain injury (TBI) using advanced MRI techniques. His work centers on technical development, neuroscience, and clinical applications of imaging methods for mapping brain structure and function, with special emphasis on diffusion MRI for assessing white matter development and integrity and mapping axonal fiber pathways. His recent publications show a strong concentration on connectomics, biomarkers for TBI, and advanced neuroimaging techniques. Dr. Mukherjee has served as Principal or Co-Principal Investigator for numerous NIH-funded projects including TRACK-VA, Neural Mechanisms of Sensory OverResponsivity, and MRI Corticography. His research has also been supported by the Department of Defense, Simons Foundation, McDonnell Foundation, Dana Foundation, Wallace Research Foundation, GE Healthcare, and the GE-NFL Head Health Initiative. Medical Scientist Training Program Grant, National Institutes of Health (1988-95) S. Koide Memorial Fellowship, Rockefeller University (1994) Roentgen Resident/Fellow Research Award, Radiological Society of North America (1999) Berlex/ASNR Award in Basic Science Research, American Society of Neuroradiology (2001) As Principal Investigator of multiple major grants and co-investigator in the TRACK-TBI consortium, Dr. Mukherjee has mentored numerous researchers and secured over $10 million in research funding. His work with the Center for Imaging of Neurodegenerative Disease involves a multidisciplinary team of neuroscientists, radiologists, and engineers developing next-generation imaging techniques for neurodegenerative conditions. Future research directions include advancing ultra-high field MRI technologies and developing personalized connectomic approaches for neurological disorders.

• Neuroscience
• Evolutionary Biology
• Developmental Biology
• +۱۳ مورد دیگر

Professor Gaspar Jekely is a faculty member at the University of Exeter, affiliated with the Living Systems Institute. His research focuses on the structure, function, and evolution of neural circuits, neuromodulation mechanisms, and the evolution of neuronal cell types in marine organisms, particularly Platynereis dumerilii larvae. Ph.D. in Genetics, Eötvös Loránd University (1999) Diploma in Biology and Genetics, Eötvös Loránd University (1995) Gaspar employs whole-body connectomics, circuit-wide activity imaging, neurogenetics, and genome editing to map neural circuits and neuromodulatory networks at cellular resolution. His work aims to uncover principles of neuromodulation and circuit flexibility applicable to complex nervous systems, including humans. He also explores contextual neuromodulation changes during development and links network outputs to molecular functions at synapses. His research spans interdisciplinary domains, integrating neuroscience , evolutionary biology , genetics , and marine biology with computational approaches. The work at the Living Systems Institute emphasizes collaboration and innovative methods to study small, experimentally tractable nervous systems. Professor Jekely leads the JekelyLab, a research group dedicated to synthesizing insights from Platynereis studies into broader biological understanding. His career includes leadership roles at the Max Planck Institute and EMBL, with expertise in transgenic techniques and synaptic resolution mapping.

• Neuroscience
• Behavioral Biology
• Zebrafish Research
• +۶ مورد دیگر

Herwig Baier is Director of the Department for Genes - Circuits - Behavior at the Max Planck Institute for Biological Intelligence (formerly Max Planck Institute of Neurobiology), where he leads a prominent research group investigating the neural basis of behavior using zebrafish as a model organism. His laboratory combines genetic, imaging, and behavioral approaches to understand how neural circuits generate behavior. Dr. Baier received his biology education at the University of Konstanz, completed his doctorate in 1995 under Friedrich Bonhoeffer at the MPI for Developmental Biology in Tübingen, and conducted postdoctoral research at the University of California, San Diego (1995-1998). He served as Professor at the University of California, San Francisco (1998-2012) before becoming Director at the Max Planck Institute in 2011. His research focuses on understanding how genes, neural circuits, and behavior are interconnected, with particular emphasis on visual processing, decision making, and social behavior in zebrafish. His laboratory has pioneered techniques for whole-brain imaging, optogenetic manipulation, and connectomic analysis in larval zebrafish, making significant contributions to mapping the neural circuits underlying prey capture, escape responses, and social recognition. The lab's work spans molecular, cellular, circuit, and behavioral levels of analysis, creating a comprehensive understanding of brain function. Analysis of Dr. Baier's recent publications (2021-2025) reveals a strong focus on neural circuit mapping at increasingly higher resolution, from cellular to synaptic levels, while connecting these structural findings to behavioral outputs. His work demonstrates how specific neural populations process visual information, make decisions, and generate appropriate motor responses, with significant contributions to understanding topographic organization in the brain and how genetic programs shape neural circuitry. Dr. Baier leads a large, collaborative research team with numerous postdocs, technicians, and students working on various aspects of zebrafish neuroscience. His laboratory has developed critical transgenic tools and methodological approaches that have been widely adopted by the neuroscience community, including optogenetic tools, calcium indicators, and brain atlases that facilitate circuit-level analysis in zebrafish.