جستجوی استاد راهنمای دانشگاهی

Sara S. Pattersonمشاهده پروفایل

استادیار

• Neuroscience
• Vision Science
• Retinal Physiology
• +۴ مورد دیگر

Sara S. Patterson, Ph.D., is an Assistant Professor in the Department of Ophthalmology and a Joint Assistant Professor in the Department of Neuroscience at the University of Rochester School of Medicine and Dentistry (SMD). Her research focuses on understanding retinal ganglion cell diversity and their roles in visual processing. She leads the Patterson Lab at the Flaum Eye Institute and Del Monte Institute for Neuroscience, specializing in adaptive optics imaging, connectomics, and retinal circuit analysis. Her work explores how neural circuits mediate visual perception and degeneration, with implications for retinal prosthetics and disease treatment. Dr. Patterson earned her Ph.D. in Neuroscience from the University of Washington (2020) and a BS in Neuroscience from Dickinson College (2014). She completed a postdoctoral fellowship at the University of Rochester with Dr. David Williams (2020–2024). She has been recognized with awards including the Young Investigator Award (2022) and the Steadman Family Postdoctoral Prize (2021). Her research investigates the structure and function of rare retinal ganglion cells, degeneration mechanisms in cortical blindness, and the role of retinal inputs in visual perception. Techniques include adaptive optics for in vivo imaging, serial block-face SEM for connectomics, and computational modeling. The lab collaborates with the Advanced Retinal Imaging Alliance (ARIA) and focuses on translating findings to human health. Lab Affiliations: Flaum Eye Institute, Del Monte Institute for Neuroscience Key Projects: Foveal ganglion cell physiology, retinal degeneration modeling, and non-invasive imaging tools Dr. Patterson’s lab is actively hiring graduate students, postdoctoral fellows, and undergraduates interested in neuroscience, engineering, or computational methods. Her work bridges basic science and clinical applications, aiming to improve therapies for vision disorders.

Jennetta W. Hammondمشاهده پروفایل

استادیار

• Neuroimmunology
• Neurology
• Neuroscience
• +۵ مورد دیگر

Dr. Jennetta W. Hammond is an Assistant Professor in the Department of Neurology, Neuroimmunology and holds a joint appointment in the Department of Neuroscience at the University of Rochester School of Medicine and Dentistry. Her research focuses on neuroimmune mechanisms in neurological disorders, particularly investigating the Sez6 gene family and their roles in neuroprotection through complement regulation. She also explores mitochondrial stress pathways linked to movement disorders and autoimmune mechanisms in cerebellar ataxia. Education: PhD in Cell and Developmental Biology from the University of Michigan (2008) BS in Zoology from Brigham Young University (2002) Research Interests: Complement system regulation in neurodegeneration Autoantibody-mediated cerebellar ataxia Mitochondrial dysfunction in movement disorders Animal model development for neuroimmune diseases Her lab has identified the Sez6 gene family as critical regulators of synaptic preservation during development and disease states like Alzheimer’s and multiple sclerosis. Current projects include studying Sez6L2 autoantibodies in autoimmune ataxia and characterizing the Mix23 gene’s role in mitochondrial stress. Publications: Dr. Hammond has authored 17 journal articles focusing on neuroimmunology, complement biology, and molecular motor mechanisms. Recent work highlights synaptic protection strategies and novel therapeutic targets for neurodegenerative diseases. Labs & Teams: Her research is conducted within the Center for Neurotherapeutics Discovery at the University of Rochester Medical Center, collaborating extensively on translational neuroscience projects.

• Neuroscience
• Neurophysiology
• Synaptic Plasticity
• +۳ مورد دیگر

Volko Straub is an Associate Professor in the Biological Sciences Department at the University of Leicester, where he has been affiliated since 2005. Previously, he served as an RCUK Research Fellow (2005-2010) and held postdoctoral roles at the University of Sussex (1998-2005), where he also earned his PhD. His research focuses on neurophysiological mechanisms in invertebrate models, particularly the pond snail Lymnaea stagnalis and the tardigrade Hypsibius dujardini. Key interests include neuronal plasticity, synaptic remodeling, and the role of nitric oxide (NO) signaling in learning and memory. He also investigates central pattern generator (CPG) circuits, neuromodulation, and purinergic receptor function in molluscs and other invertebrates. Dr. Straub's work bridges experimental and computational neuroscience, with studies on molecular mechanisms of memory, neuronal network dynamics, and the impact of aging on sensory processing. He serves as a national coordinator for the British Neuroscience Association's local groups, contributing to broader scientific community engagement. His research employs techniques ranging from transcriptomics to electrophysiological recordings and pharmacological assays. Notable contributions include elucidating NO-cGMP pathways in memory formation, characterizing P2X receptors in invertebrates, and modeling CPG circuitry in feeding behaviors. His interdisciplinary approach integrates molecular, cellular, and systems-level analyses to understand fundamental principles of nervous system function and plasticity.

• Complex Dynamics
• Biophysics
• Statistical Physics
• +۷ مورد دیگر

Jeffrey S. Urbach is a Professor in the Department of Physics at Georgetown University, where he also holds the Interdisciplinary Chair in Science and serves as Vice Provost for Research. He has previously served as Chair of the Physics Department (2000–2001, 2004–2007, 2016–2020) and as Director of the Institute for Soft Matter Synthesis and Metrology (2011–2015). His academic leadership extends to co-founding and co-directing the Program on Science in the Public Interest until 2011. His education includes a B.A. in Physics from Amherst College (1985), a Ph.D. from Stanford University (1993), and a postdoctoral fellowship at the University of Texas at Austin (1993–1996). He joined Georgetown as an Assistant Professor in 1996 and was promoted to Professor in 2006. Prof. Urbach's research centers on complex dynamics and biophysics , with a focus on systems that exhibit emergent behavior, such as shear-thickening fluids, vibrating granular materials, cytoskeletal networks, and migrating neurons. His group employs tools from statistical physics and nonlinear dynamics , combined with advanced imaging, image analysis, and computational modeling, to derive quantitative descriptions of seemingly disordered systems. He has received significant recognition including the Sloan Research Fellowship, the Presidential Early Career Award for Scientists and Engineers (PECASE), and is a Fellow of the American Physical Society. His research has been supported by major funding agencies such as the National Science Foundation (NSF), National Institutes of Health (NIH), NASA, Air Force Office of Scientific Research (AFOSR), NIST, Petroleum Research Foundation, Research Corporation, and the Whitaker Foundation. Prof. Urbach has advised numerous students and mentored researchers through his lab and the Institute for Soft Matter, though specific names are not listed in the provided text. He has also contributed to science policy, having served as an AAAS Science and Technology Policy Fellow at the U.S. Department of Energy during 2009–2010. He leads or has led key research initiatives including the Institute for Soft Matter Synthesis and Metrology and is affiliated with interdisciplinary efforts such as the Science Policy Interest Group and the Program on Science in the Public Interest. His work bridges fundamental physics with biological and engineering applications, aiming to uncover universal principles in complex systems.

• Unconventional Computing
• Computer Architecture
• Artificial Intelligence
• +۵ مورد دیگر

Gunnar Tufte is a Professor and Deputy Head of Research at the Department of Computer Technology and Informatics, NTNU. He leads the Computer Architecture Lab and advises PhD programs in Computer Science and Informatics within the Faculty of Information Technology and Electrical Engineering. His primary research focuses on unconventional computing, including artificial spin ice systems, self-organizing nanomaterials, and bio-inspired architectures. Research Interests include: Unconventional Machines: Architecture, Design, and Computation Spin-based Computing and Energy Efficient Systems Evolution-in-Materio and Nanoscale Computation Reservoir Computing and Dynamical Systems Nano-Magnetic Orchestration and Self-Organization Key Projects: SpinENGINE (EU Horizon 2020 FET-Open): Developing parallel computing platforms using nanomagnet ensembles. SPrINTER (Norwegian Research Council): Low-power spin-based computing technology. flatspin: Open-source simulator for artificial spin ice systems (GPLv3). Grants and Collaborations: Horizon 2020 FET-Open funding for SpinENGINE. NFR funding for SPrINTER project. Lab/Team: Maintains the Computer Architecture Lab and collaborates on interdisciplinary projects with researchers in nanotechnology, AI, and biology.

Charles S. Peskinمشاهده پروفایل

استاد

• Immersed Boundary Method
• Mathematical Physiology (Heart, Neuro)
• Partial Differential Equations in Biology
• +۷ مورد دیگر

Charles S. Peskin is a Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. He specializes in mathematical modeling and simulation of biological systems, particularly cardiovascular physiology and neurophysiology. His work focuses on the Immersed Boundary Method, a computational framework for fluid-structure interaction problems. Peskin has authored influential textbooks such as Modeling and Simulation in Medicine and the Life Sciences (2nd ed., 2002) and developed simulation tools used in biomechanics research. His research spans mathematical biology, computational fluid dynamics, and stochastic processes in biological systems. He advises PhD students on interdisciplinary projects at the interface of mathematics and life sciences. Key contributions include modeling heart valve dynamics, neural signaling mechanisms, and biomolecular motor systems. Affiliations: Courant Institute, NYU Research: Immersed Boundary Method, Cardiac Mechanics, Neurophysiology Modeling Publications: 100+ articles, 2 books Teaching: Courses on PDEs in Biology, Biomolecular Motors, and Simulation Techniques Software: MATLAB programs for cardiovascular system simulations His work bridges applied mathematics with biomedical engineering, emphasizing computational methods for complex biological systems. Recent work includes studies on entropy principles in biology and rotary molecular motor mechanisms.

• Computational Neuroscience
• Neurophysics
• Brain Signal Analysis
• +۳ مورد دیگر

Gaute Tomas Einevoll is a Professor in the Department of Condensed Phase Physics at the University of Oslo. His research focuses on computational neuroscience, neurophysics, and theoretical biophysics. He leads the COBRA project (COMPUTING BRAin signals) and contributes to the Condensed phase physics research group. His work integrates physics-based approaches with neuroscience to study brain signal analysis, synaptic plasticity mechanisms, and neuron modeling. Recent research includes computational modeling of schizophrenia-related synaptic impairments and topological analysis of neural population activity in visual cortex systems. He has published extensively in top journals like PLoS Computational Biology and PNAS, with notable contributions on electric brain signal predictions and genetic mechanisms in mental health. Einevoll collaborates internationally and engages in multidisciplinary projects at the intersection of neuroscience, computing, and technology. His research has implications for understanding brain disorders and advancing neurotechnology applications.

Helene Schmidtمشاهده پروفایل

پژوهشگر

• Neuroscience
• Neuronal Circuitry
• Spatial Navigation
• +۳ مورد دیگر

Dr. Helene Schmidt is the Group Leader of the Schmidt Lab at the Ernst Strüngmann Institute (ESI) Frankfurt. Her research focuses on understanding the neural circuits underlying spatial navigation, particularly the interaction between hippocampal place cells and entorhinal grid cells. She employs advanced 3D electron microscopy for high-resolution mapping of neuronal connections at the synaptic level. Research Interests: Neuronal circuitry, spatial cognition, synaptic organization, and neuroanatomy. Key Technologies: 3D electron microscopy, single-cell resolution neuroimaging. Her lab includes researchers such as Maria Corteze and Eleonora Grasso, with alumni like Anjali Gour. Recent work has explored hippocampal CA3 module functionality and axonal synapse sorting in the entorhinal cortex. Lab Members: Researchers (Maria Corteze, Eleonora Grasso), Lab Management (Aleyna Elmasli).

• Machine Learning
• Computational Neuroscience
• Data Science
• +۳ مورد دیگر

UnivProf. Dr. Fabian Sinz is a Professor at the Institute of Computer Science, University of Göttingen, heading the Machine Learning group. His research focuses on interdisciplinary applications of machine learning in computational neuroscience, data science, and neuroscience. He teaches courses such as Data Science I and leads seminars on Machine Learning and Computational Neuroscience. His work bridges theoretical machine learning with empirical neuroscience, particularly in modeling neural activity and connectomics. Research interests include neural population coding, generative models for neural data, and applying machine learning to understand brain function. Notable contributions involve developing methods like TRACE and NEURD for analyzing neural datasets and predicting visual cortex responses. Recent publications emphasize foundational models for neural activity prediction and cross-modal learning. Dr. Sinz collaborates on large-scale projects like the Dynamic Sensorium Competition, advancing reproducibility in predictive modeling of brain activity. He has advised on machine learning applications in health informatics and biomechanical reconstruction. His lab’s work frequently intersects with computer vision, computational biology, and neuroimaging technologies.

Hyungbae Kwonمشاهده پروفایل

دانشیار

• Neuroscience
• Developmental Neuroscience
• Systems Neuroscience
• +۱۱ مورد دیگر

Hyungbae Kwon is an Associate Professor of Neuroscience at the Johns Hopkins University School of Medicine, affiliated with the Solomon H. Snyder Department of Neuroscience and the Department of Biomedical Engineering. He serves as the Director of Admissions for the Neuroscience Training Program and leads an active research laboratory (Kwon Lab) focused on neural circuit mechanisms underlying learning and cognition. His work integrates molecular, optical, and behavioral approaches to dissect synaptic and circuit-level functions in the mammalian brain. Dr. Kwon's research interests span developmental and cellular neuroscience, neural circuits, and neurotechnology development. Key areas include: Cellular mechanisms of synaptogenesis in the developing and mature cortex Development of novel tools to label and control behaviorally relevant neural circuits Dissecting flexible cognitive behaviors at cellular resolution Designing genetically encoded sensors for neurotransmitters and signaling molecules His recent publications reveal a strong trend in creating and applying cutting-edge optical and genetic tools to map and manipulate neural activity in vivo. These studies frequently appear in top-tier journals such as Nature , Science , and Nature Neuroscience , reflecting significant contributions to understanding synaptic plasticity, circuit dynamics, and behavioral control. The work often involves interdisciplinary collaboration across neuroscience, engineering, and molecular biology. Dr. Kwon has been instrumental in developing innovative technologies such as Cal-Light for activity-dependent gene expression, LAUNCHER for light-assisted proteolytic release, and biosensors for oxytocin and kinase activity. These tools enable precise interrogation of neural circuits and have broad applications across neuroscience research. He actively mentors graduate students through the Neuroscience Training Program and collaborates widely across institutions. His lab is based in the Miller Research Building at Johns Hopkins, where it maintains a strong focus on both fundamental neurobiological questions and technological innovation. The Kwon Lab continues to push the boundaries of how we observe, record, and manipulate neural activity with high spatiotemporal precision.

Andrew J. Fuglevandمشاهده پروفایل

استاد

• Neuroscience
• Neurophysiology
• Motor Control
• +۴ مورد دیگر

Andrew J. Fuglevand is a Professor in the Department of Physiology and affiliated with the Evelyn F. McKnight Brain Institute at the University of Arizona's College of Medicine. His research focuses on neural control of movement and restoring motor function through biomedical engineering approaches. Education: BS, Montana State University (1980) MS, University of Washington (1983) PhD, University of Waterloo (1989) Post-doctoral, University of Arizona (1992) Post-doctoral in Neurophysiology, Yale University (1996) His work spans from synaptic integration in motor neurons to developing neural prosthetics for paralysis, utilizing computer modeling, human and animal studies, and advanced stimulation/recording techniques. Research emphasizes cross-species comparisons (rodents, primates, humans) and translational applications. Recent publications highlight three key areas: (1) neural mechanisms in primate amygdala processing, (2) advanced systems for restoring complex movements in paralyzed limbs, and (3) innovative electrode technologies for chronic muscle stimulation and recording. These span neuroscience, biomedical engineering, and computational modeling disciplines. His laboratory receives funding from the National Institute of Neurological Disorders and Stroke (NINDS), supporting interdisciplinary research bridging physiological sciences and clinical applications. Lab location: AHSC 356 | Contact: fuglevan@arizona.edu

Michal K. Stachowiakمشاهده پروفایل

استاد

• Bioinformatics
• Cell growth, differentiation and development
• Epigenetics
• +۹ مورد دیگر

Dr. Michal K. Stachowiak is a Professor and Director of the Molecular and Structural Neurobiology Program at the University at Buffalo's Jacobs School of Medicine & Biomedical Sciences. He also leads the Gene Therapy Program and Stem Cell SCEF within the Department of Pathology and Anatomical Sciences. His work focuses on genomic regulation during neurodevelopment, schizophrenia pathophysiology, and translational applications of stem cells and optogenetics. Research interests include: bioinformatics applications in neurobiology, epigenetic mechanisms in cell development, gene therapy strategies, and the role of nuclear FGFR1 signaling in neuronal programming. He pioneered cerebral organoid models to study neurodevelopmental disorders and developed optogenomic interfaces merging light-based control with genomic networks. Recent work emphasizes phase-zero clinical platforms using organoid models for disease modeling, and nanotechnology-based approaches for precise stem cell regulation. His interdisciplinary studies bridge molecular biology, engineering, and clinical translation - highlighted by innovations in neuroengineering optical theranostics and systems genome analysis. Key contributions include identifying TNFα's role in schizophrenia-like organoid abnormalities, demonstrating genome architecture's dependence on nuclear FGFR1, and creating optogenetic tools for neuronal network control. His lab's technologies include ORMosil nanoparticles for gene delivery and Vis/NIR spectroscopy-based diagnostic platforms for organoid assays.

Anthony Holtmaatمشاهده پروفایل

استاد

• Synaptic Plasticity
• Neuroscience
• Structural Plasticity
• +۱۳ مورد دیگر

Anthony Holtmaat is a Professor and Group Leader in the Faculty of Medicine at the University of Geneva. He leads a research laboratory focused on synaptic plasticity and cortical network dynamics in the adult brain, utilizing in vivo imaging and molecular techniques in transgenic mouse models. Research Interests: His work centers on understanding how synaptic connectivity changes in response to experience and learning. Using longitudinal in vivo two-photon microscopy, his lab investigates dendritic spine and axonal bouton dynamics, synapse formation and elimination, and the molecular stability of synaptic proteins. His research integrates structural and functional analyses to explore how neural circuits adapt during sensory processing, memory formation, and aging. Recent Research Trends: His latest publications reveal a strong focus on thalamocortical feedback mechanisms, sensory-evoked cortical plasticity, and the regulation of neuronal excitability through metabotropic glutamate receptors. A landmark study generated a comprehensive atlas of synapse protein lifetimes across the mouse brain, linking synaptic stability to brain development, aging, and neurodevelopmental disorders such as autism and schizophrenia. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: He mentors a diverse team of postdoctoral researchers, PhD candidates, and technicians, indicating active supervision and training. His research is supported by competitive funding, as evidenced by publications in high-impact journals and collaborations with international teams. The mention of NIH funding (R01 MH060919) in a co-authored paper suggests involvement in externally funded research projects. Laboratory and Team: His lab at the CMU (Centre Médical Universitaire) in Geneva includes多名 researchers such as Tanika Bawa, I-Wen Chen, and Ronan Chereau, working on various aspects of synaptic and circuit plasticity. The team employs cutting-edge techniques including two-photon calcium imaging, optogenetics, viral tracing, and advanced data analysis to dissect neural circuit function.

Denis Jabaudonمشاهده پروفایل

استاد

• Developmental Neurobiology
• Neuronal Circuit Assembly
• Gene Expression in Neurons
• +۷ مورد دیگر

Denis Jabaudon is a Professor and Group Leader in the Department of Basic Neurosciences at the Faculty of Medicine, University of Geneva, where he leads a research laboratory at Campus Biotech. His work focuses on the genetic and molecular mechanisms governing cortical neuron circuit assembly during development. His research interests include developmental neurobiology, neuronal circuit formation, gene expression dynamics in neural progenitors and postmitotic neurons, thalamocortical connectivity, and neural plasticity. He investigates how intrinsic genetic programs and sensory experience interact to determine neuronal identity and circuit function. His lab employs techniques such as in vivo electroporation, transgenic mouse models, single-cell RNA sequencing, and electrophysiology. The most recent publications highlight a strong trend in understanding the temporal patterning of neural progenitors and how this influences the sequential generation of diverse neuronal subtypes. His work demonstrates that molecular birthmarks in progenitors are transmitted to daughter neurons, which then undergo activity-dependent refinement. This research bridges developmental biology, epigenetics, and systems neuroscience, with implications for brain repair and reprogramming. Scientific Awards and Funding: Swiss National Science Foundation Grant (PP00P3-123447) Velux Foundation Funding 3R Foundation Funding Brain and Behavior Research Foundation Funding Joint Leenaards Foundation for Scientific Research Award Denis Jabaudon actively mentors a team of early-career researchers. His lab includes scientific collaborators such as Riccardo Bocchi and Sabine Fièvre, postdoctoral researchers like Awais Javed and Sergi Roig Puiggros, and graduate students including Eline Balavoine, Natalia Baumann, and Moein Sarhadi. His research has been supported by multiple competitive grants, indicating sustained funding and scientific impact. The lab’s work contributes significantly to understanding the fundamental principles of brain development and plasticity. Laboratory and Team: The Jabaudon lab is based at Campus Biotech in Geneva and comprises a multidisciplinary team of scientific collaborators, postdoctoral fellows, graduate students, and technical staff, working collaboratively on projects related to neocortical development and circuit assembly.

Erik Ullianمشاهده پروفایل

استاد

• Astrocyte Biology
• Neurodegenerative Diseases
• Synaptic Plasticity
• +۷ مورد دیگر

Erik Ullian is a Professor at the University of California San Francisco (UCSF), with a focus on neuroscience. His research spans astrocyte biology, synaptic plasticity, and neurodegenerative diseases, supported by prestigious awards such as the NIH New Innovator Award and Allen Distinguished Investigator Award. Education: BA in Biological Science (University of Chicago, 1991), PhD in Neuroscience (UCSF, 1997), Postdoc in Neurobiology (Stanford, 2004) His work explores astrocyte-neuron interactions, neuroinflammation, and mechanisms in Alzheimer's disease, ALS, and glioblastoma. Key methodologies include CRISPRi screening, brain organoids, and transcriptomic analysis. Recent publications highlight TDP-43 pathology in ALS, glucose metabolism restoration in Alzheimer's, and astrocyte roles in cancer suppression. Earlier contributions include neurodevelopmental studies on synaptic mapping and SARS-CoV-2 tropism for astrocytes. Scientific Awards Epilepsy training grant award (2001) Zaffaroni research fellowship in addiction research (2002) Sandler Award (2004) Alfred P. Sloan Fellowship (2005) March of Dimes Basil O’Connor Award (2006) Research to Prevent Blindness- New Investigator Award (2009) NIH New Innovator Award (2014) Walt and Lilly Disney Award for Amblyopia Research (2015) Allen Distinguished Investigator Award (2015)