Synaptic Pruning Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۱-۱۵ از ۱۹۶ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Surya Ganguliمشاهده پروفایل

دانشیار

Stanford UniversityUnited States

Surya Ganguli is an Associate Professor in the Department of Applied Physics at Stanford University, with courtesy appointments in Neurobiology and Electrical Engineering. He serves as Senior Fellow at the Stanford Institute for Human-Centered AI and is affiliated with the Stanford Neuroscience Institute , Bio-X , and Wu Tsai Neurosciences Institute . His research spans theoretical neuroscience, machine learning, and statistical mechanics. Ph.D. , UC Berkeley, Theoretical Physics (2004) M.A. , UC Berkeley, Physics (2000) M.A. , UC Berkeley, Mathematics (2004) M.Eng. , MIT, Electrical Engineering and Computer Science (1998) B.S. , MIT, Physics (1998) B.S. , MIT, Mathematics (1998) B.S. , MIT, Electrical Engineering and Computer Science (1998) His lab explores how higher-level cognitive phenomena emerge from neural network dynamics, focusing on perception, memory, attention, and decision-making . Research themes include statistical mechanics of learning , neural representational geometry , and biologically plausible learning rules . Current work examines nonlinear interactions in neural networks through the Schmidt Science Polymath Award (2023). Key article trends reveal expertise in neural coding limits (2022 Nature), synaptic plasticity models (2022 Neural Computation), and deep learning theory (2022 NeurIPS publications). His 2019 Annual Review chapter on statistical mechanics of deep learning established foundational insights into network criticality. Scientific Awards : NSF Career Award (2019) Simons Foundation Investigator (2016) McKnight Scholar Award (2015) James S. McDonnell Foundation Scholar (2014) Sloan Research Fellow (2013) As advisor, he mentors 10+ doctoral students across Applied Physics, Neurosciences, and Computer Science, including Vamshi Balanaga and Mason Kamb. His lab collaborates with experimental teams at Stanford and beyond, supported by grants from NSF , Simons Foundation , and Swartz Foundation . The Neural Dynamics & Computation Lab unites physicists, mathematicians, and neuroscientists to decode cognition through interdisciplinary methods.

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Rishidev Chaudhuriمشاهده پروفایل

دانشیار

University of California, DavisUnited States

Rishidev Chaudhuri is an Associate Professor at the University of California, Davis in the Department of Neurobiology, Physiology and Behavior within the College of Biological Sciences. His research focuses on computational neuroscience and neural dynamics, employing mathematical models to investigate how neural circuits generate cognitive processes such as memory, perception, and decision-making. His work explores neural dynamics through models of memory systems, attentional mechanisms, and probabilistic inference. Recent publications highlight advances in understanding hippocampal memory scaffolds, parietal-frontal interactions, and neuromorphic computing inspired by brain architecture. Education: BA in Physics (Amherst College), PhD in Applied Mathematics (Yale University) Centers: Center for Neuroscience; affiliated with Applied Mathematics and Neuroscience Graduate Groups Scientific awards and honors are not explicitly mentioned in the provided materials.

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Gabriel A. Silvaمشاهده پروفایل

استاد

University of California, San DiegoUnited States

Gabriel A. Silva is a Professor in the Shu Chien-Gene Lay Department of Bioengineering at UC San Diego’s Jacobs School of Engineering, with a joint appointment as Assistant Professor in Ophthalmology. His research bridges neuroscience, theoretical physics, and applied mathematics to explore how the brain encodes and processes information, leveraging quantum logic and algorithms for advanced neural modeling. University: University of California, San Diego School: Jacobs School of Engineering Department: Shu Chien-Gene Lay Department of Bioengineering Academic Rank: Professor Joint Appointment: Assistant Professor in Ophthalmology Research Interests: Silva focuses on neural computation at cellular and network scales, aiming to abstract biological mechanisms into mathematical models that emulate brain-like processing. His work has implications for understanding neurological disorders, developing neural engineering nanotechnologies, and advancing AI systems through emergent complexity. Recent Article Trends: His publications span quantum-enhanced neural modeling, EEG-based disease detection, nonlinear dynamics in brain networks, and interdisciplinary applications of graph theory. Emerging themes include the integration of category theory for network analysis and AI optimization via emergence-promoting schemes. Labs & Teams: Affiliated with UC San Diego’s Institute of Engineering in Medicine, Silva leads research at the intersection of bioengineering, ophthalmology, and neural systems, fostering collaborations with neuroscience and quantum computing domains.

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Joel Zylberbergمشاهده پروفایل

استادیار مدعو

University of California, Los AngelesUnited States

Joel Zylberberg is an Adjunct Assistant Professor at the University of California, Los Angeles (UCLA), affiliated with the Department of Ophthalmology within the School of Medicine . His research bridges Computational Neuroscience , Neural Networks , and Machine Learning , focusing on how neural activity and biological mechanisms inform artificial intelligence and visual cortex dynamics . Joel's work explores retinal computation , population coding , and neural adaptation , often analyzing mouse visual cortex and neurophysiological data . His recent publications highlight trends in dynamic retinal processes , stimulus-driven network topology , and brain-inspired machine learning , emphasizing the interplay between biophysics and computational modeling . Collaborators include Greg Field (UCLA), Richard Born (Harvard), and Michael DeWeese (UC Berkeley), with affiliations spanning institutions like University of Washington and University of California, San Diego (UCSD). His work appears in journals such as Nature Neuroscience , Neuron , and PLOS Computational Biology .

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Barbara L. Hempsteadمشاهده پروفایل

استاد

Cornell UniversityUnited States

Dr. Barbara L. Hempstead is a Professor of Neuroscience and Medicine at Weill Cornell Medical College, where she has held positions since 2001 and 2002 respectively. Her research focuses on neurotrophin signaling mechanisms, particularly the roles of BDNF and its receptors in neuroinflammation, synaptic plasticity, and neurodegenerative diseases. She has made significant contributions to understanding proBDNF/proNGF signaling pathways in neuronal apoptosis and vascular biology. Education: M.D., Ph.D., Washington University School of Medicine (1982) B.A., Tufts University (1976) Dr. Hempstead's work bridges molecular neuroscience and cardiovascular biology, with a particular interest in receptor stoichiometry (p75NTR, TrkB), neurotrophin-induced synaptic remodeling, and therapeutic applications of neurotrophin modulators in Huntington's disease and post-seizure neuronal injury. Her lab investigates how genetic variants like BDNF Val66Met influence anxiety-related behaviors, social memory, and neurodegenerative disease progression through altered neurotrophin trafficking and signaling. Her recent publications highlight neuroinflammatory mechanisms (2023), immune-neurotrophin interactions (2022), and molecular pathways involving BDNF prodomain structure (2020) and SorCS2-mediated receptor trafficking (2017-2020). While no scientific awards are explicitly mentioned in the scraped text, her funded research (National Institute on Aging, NIMH) demonstrates sustained recognition of her work in neurotrophin biology. Dr. Hempstead's lab develops in vitro and in vivo models to study neurotrophin-receptor dynamics, including 3D culture systems for angiogenesis research and transgenic mouse models for Huntington's disease. Her interdisciplinary approach combines molecular neurobiology with vascular physiology to uncover novel therapeutic targets for neurological and cardiovascular conditions.

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Joshua Trachtenbergمشاهده پروفایل

استاد

University of California, Los AngelesUnited States

Joshua Trachtenberg is a Professor in the Department of Neurobiology at the School of Medicine, University of California Los Angeles (UCLA) . His research focuses on understanding how early sensory experiences shape synaptic and network connectivity in cortical circuits, particularly in the visual system. Key Research Areas: Mechanisms of experience-dependent cortical plasticity Role of vision in neural circuit development Molecular pathways in autism-related models Inhibitory interneuron dynamics Long-term in vivo imaging of dendritic spines Recent Publications highlight studies on dendritic spine clustering, critical period plasticity, and retinal cell type evolution, with methodologies spanning multi-photon imaging and single-cell transcriptomics. Funding Highlights: NIH R01EY027407 (Disinhibition & Visual Plasticity) NIH R01EY023871 (Inhibitory Circuit Regulation) NIH R01MH082935 (PTEN-Associated Autism Models) Labs & Collaborations include work with the Silva, Golshani, and Geschwind groups, focusing on synaptic stability, cortical dysfunction, and autism-related protein studies.

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D.S. Fahmeed Hyderمشاهده پروفایل

استاد

Yale UniversityUnited States

D.S. Fahmeed Hyder is a Professor of Biomedical Engineering at Yale University, with additional appointments in Radiology & Biomedical Imaging. He holds a Ph.D. from Yale University and leads the Hyder Lab, which focuses on advancing quantitative and translational imaging technologies using magnetic resonance methods to study brain function and dysfunction at the laminar level. His research integrates multidisciplinary approaches, including molecular imaging, neurophysiology, and material science. Research Interests: Neurovascular and neurometabolic coupling mechanisms Molecular imaging probes for disease diagnostics Functional MRI (fMRI) and metabolic imaging in health and disease Imaging applications for Alzheimer’s, stroke, and cancer Publications: Dr. Hyder’s recent work emphasizes cutting-edge imaging techniques, such as pH-sensitive biosensors, high-resolution fMRI, and multimodal optical imaging. His research highlights include studies on neurovascular dysfunction in Alzheimer’s models, therapeutic interventions for brain injury, and molecular imaging of tumor microenvironments. Awards: Niels Lassen Award (2003), for cerebral blood flow research Early Career Faculty Award (1998), NSF & NIH Pilot Awards from JDRF & Yale-UCL Collaborative (2008, 2013) Labs/Teams: The Hyder Lab collaborates with institutions like UCL and the James S. McDonnell Foundation, advancing translational imaging solutions for clinical applications.

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Emilia Favuzziمشاهده پروفایل

استادیار

Yale UniversityUnited States

Emilia Favuzzi is an Assistant Professor in the Department of Neuroscience at Yale University, affiliated with the Wu Tsai Institute and multiple interdisciplinary programs. She holds appointments in Immunology and the Interdepartmental Neuroscience Program. Her research focuses on neuroimmune interactions, particularly how microglia and other glial cells influence brain wiring and function during development and in health/disease. Education: B.S. & M.S. in Biology/Neurobiology from Sapienza University of Rome; Ph.D. in Neuroscience from Miguel Hernández University (Spain). Postdoctoral training at Harvard Medical School and the Broad Institute. Research interests include microglial-synapse interactions, immune encoding in cortical circuits, and links between immune challenges and neuropsychiatric disorders (e.g., Long COVID). Techniques employed include spatial transcriptomics, in vivo imaging, chemogenetics, and viral tools. Awards include the Gruber Neuroscience Award (2023), BBRF Young Investigator Grant (2023), and multiple early career honors. Her lab investigates how immune signals are integrated into brain networks and their implications for neurodevelopmental and psychiatric conditions.

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Josie Clowneyمشاهده پروفایل

دانشیار

University of Michigan-Ann ArborUnited States

Josie Clowney is an Associate Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of Michigan, where she has held faculty position since 2017. Her research investigates the genomic algorithms that construct neural circuits during development, using Drosophila as a model to study how chemosensory systems drive both instinctual behaviors and learning. She teaches Bio 172 and an upper-level seminar on cellular diversity and scientific writing, and mentors graduate students through MCDB, CMB, NGP, and BIOINF PhD programs. Her educational background includes: Ph.D. in Biomedical Sciences (2012) from the University of California, San Francisco B.S. in Cellular and Molecular Biology (2005) from the University of Michigan, where she conducted research with Cunming Duan Clowney's research centers on understanding how definitive neuronal parameters are encoded in genomic information and translated into cellular architectures. Her lab hypothesizes that developmental algorithms for learning circuits versus instinctual circuits differ fundamentally in their genomic requirements, with chemosensory circuits serving as key models. Using fruit flies for their tractable brain organization, her work bridges computational principles and biological implementation to uncover universal brain organization rules. Analysis of her 15 most recent publications (2016-2025) reveals consistent focus on Drosophila mushroom body development, neural sexual differentiation, and spatial constraints in circuit formation. Key themes include non-deterministic mechanisms diversifying cell surface expression, chromatin dynamics in circadian regulation, and how input density tunes sensory responses. Her work integrates genomics, neuroanatomy, and behavior to model how compact genomic information generates complex neural architectures. No scientific awards were mentioned in the provided text. Dr. Clowney advises graduate students through multiple PhD programs at the University of Michigan, though specific student names and grant details are not provided in the source material. Her teaching includes foundational undergraduate coursework and advanced seminars emphasizing scientific writing. The active publication record spanning 2016-2025 indicates sustained research funding supporting her lab's investigations into neural circuit development. The Clowney Lab, housed in the Biological Sciences Building (4218 BSB), employs Drosophila genetics and neuroanatomical techniques to dissect developmental algorithms of brain wiring. Current projects explore how spatial constraints structure learning circuits, mechanisms of neural sexual differentiation, and the genomic encoding of circuit diversity. The lab collaborates within Michigan's neuroscience community through the Program in Biology and participates in interdisciplinary initiatives studying brain evolution and function.

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Hiroshi Nishiyamaمشاهده پروفایل

دانشیار

University of Texas at AustinUnited States

Hiroshi Nishiyama is an Associate Professor in the Department of Neuroscience at the University of Texas at Austin. His research focuses on synaptic plasticity and circuit reorganization in the mammalian cerebellum, with implications for learning, memory, and brain injury recovery. Education: B.S., Kyoto University (1992–1996) M.S., Kyoto University (1996–1998) Ph.D., Kyoto University & RIKEN Brain Science Institute (1998–2002) Postdoctoral Research, Johns Hopkins University (2002–2008) His work explores how cerebellar circuits are refined during development, reorganized in adulthood through learning, and rewired after injury. Techniques include electrophysiology , optogenetics , and long-term in vivo imaging of synaptic dynamics. Recent publications highlight mechanisms of Purkinje cell ablation , lesion-induced axonal sprouting , and dendritic translocation in synaptic competition. These studies span developmental neuroscience , neurotrauma , and neurodegenerative models . The Nishiyama Lab investigates cerebellar circuits as critical nodes in brain-wide functional architecture, bridging motor control and broader neurological disorders.

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Ning Chengمشاهده پروفایل

استادیار

University of CalgaryCanada

Ning Cheng is an Assistant Professor (Teaching & Research) at the University of Calgary's Faculty of Veterinary Medicine, with affiliations to the Alberta Children's Hospital Research Institute (ACHRI) and Hotchkiss Brain Institute (HBI). Their research focuses on neurodevelopmental disorders, particularly autism and Fragile X Syndrome, using rodent models to investigate mechanisms and develop experimental therapeutics. PhD in neuroscience from Johns Hopkins School of Medicine Postdoctoral work on neurological disorders at NIH Research spans molecular mechanisms, neural circuitry, and translational approaches to address social, communication, and behavioral challenges in autism spectrum disorders. The lab utilizes in vivo recording/modulation of brain activity, biochemical analyses, and multidisciplinary collaborations. Recent publications highlight expertise in EEG biomarker discovery, auditory processing abnormalities, ketogenic diet interventions, and ERK pathway modulation in mouse models of neurodevelopmental conditions. Key technologies developed include wireless cortical hemodynamic monitoring systems (TinyIOMS) and open-source electrophysiology tools (OSERR). As part of ACHRI's Precision Medicine & Disease Mechanisms program and HBI's Neurodevelopment/SCNIP strategic initiatives, Cheng contributes to university-wide efforts in Brain and Mental Health (2015-2021) and Child Health and Wellness (2020-2025).

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Tristan Qingyun Liمشاهده پروفایل

استادیار

Washington University in St. LouisUnited States

Tristan Qingyun Li, PhD is an Assistant Professor of Neuroscience and Genetics at Washington University in St. Louis School of Medicine. His research focuses on neuroimmunology with particular emphasis on microglial biology in brain development, aging, and disease. Dr. Li earned his BS in Biological Sciences from China Agricultural University (2002-2006), followed by a PhD in Biology from Duke University (2008-2015) under advisor Pelin Volkan. He completed his postdoctoral training at Stanford University (2015-2019) with advisors Ben Barres and Tony Wyss-Coray. His research interests center on understanding microglial heterogeneity, development, and function using cutting-edge single-cell genomic technologies combined with in vitro and in vivo genetic, molecular, and cellular tools. The lab investigates how microglia (and other immune cells) differ during development, homeostasis, and aging, and how these different populations interact with neural cells to control brain development and function. Another major focus is understanding how microglial fate is specified and diverged from other tissue macrophages during early embryonic development. Analysis of Dr. Li's publications reveals a strong focus on microglial states across developmental stages and disease conditions. His work demonstrates how microglia shift from functionally heterogeneous states early in life to a more homogeneous state in adulthood, with identification of distinct subpopulations like PAM (proliferative-region-associated microglia) that share signatures with DAM (disease-associated microglia). His 2024 Immunity paper introduced the Clec7a-CreER mouse model to track microglial states, showing their plasticity during remyelination. 2011-2012 Howard Hughes Vertical Integration Partnership Program Fellowship 2014 Departmental Semester Fellowship, Duke University 2014 Ray J. Tysor Graduate Fellowship, Duke University 2016 Dean's Fellowship, Stanford University Dr. Li leads the Li Lab, which employs rodent models and techniques including mouse genetics, histology, imaging, single-cell transcriptomics, epigenetics, primary cell culture, transplantation, flow cytometry, and cell sorting. The lab actively recruits graduate students, postdoctoral researchers, and undergraduate students interested in neuroimmunology and microglial biology. Located in the Jeffrey T. Fort Neuroscience Research Building in St. Louis, MO, the lab is part of Washington University's neuroscience and genetics research community.

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Paul Millerمشاهده پروفایل

استاد

Brandeis UniversityUnited States

Paul Miller is a Professor of Biology at Brandeis University and a member of the Volen National Center for Complex Systems. His research focuses on computational neuroscience, integrating dynamical systems theory with experimental data to understand neural mechanisms underlying decision-making, memory, and sensory processing. He holds a Ph.D. from the University of Bristol (UK) and a B.A. from Cambridge University. Before joining Brandeis in 2000, he was at Georgetown University and conducted postdoctoral work in theoretical physics at Oak Ridge National Laboratory. Education: B.A., Cambridge University (1991) Ph.D., University of Bristol (1994) Research Interests: Computational Neuroscience emphasizes modeling neural circuits for short-term/long-term memory, decision-making processes, and the dynamics of neural ensemble activity. His work bridges theoretical approaches (e.g., hidden Markov modeling, spiking neuron networks) with experimental data from cortical and hippocampal systems. He explores how quasistable attractor states enable robust computation and how homeostatic mechanisms stabilize neural activity. Notable Contributions: Developed models explaining how integral feedback control enables robust sequential decision-making, elucidated synaptic mechanisms for spatiotemporal discrimination, and analyzed the role of calcium/calmodulin-dependent protein kinase II (CaMKII) in long-term memory stability. His textbook An Introductory Course in Computational Neuroscience (MIT Press) is widely used in graduate programs. Labs/Teams: Leads the Computational Neuroscience Lab at Brandeis, collaborating with experimentalists to validate theoretical models. Active in interdisciplinary projects involving neurophysiology, systems biology, and mathematical neuroscience.

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Ari Molofskyمشاهده پروفایل

دانشیار

University of California, San FranciscoUnited States

Dr. Ari Molofsky is an Associate Professor in the Department of Laboratory Medicine at the University of California, San Francisco (UCSF) School of Medicine. Trained as an MD/PhD with clinical specialization in hematopathology, he leads a basic research laboratory focused on the intersection of immunology and tissue homeostasis. Dr. Molofsky is also an affiliate member of multiple UCSF programs including Microbiology and Immunology, ImmunoX Program, Liver Center, Pulmonary Research Group, NeuroImmunology Center for Excellence, and the UCSF Diabetes Center. Education: BS in Molecular Biology, University of Texas, Austin (1999) PhD in Immunology & Microbiology, University of Michigan, Ann Arbor (2007) MD, University of Michigan, Ann Arbor (2007) Residency/Fellowship in Clinical Pathology / Hematopathology, UCSF (2011) Dr. Molofsky's research focuses on stromal-immune niches across multiple organ systems including brain, lung, liver, adipose tissue, skin, and intestine. His work centers on type 2 immunity, innate lymphoid cells, regulatory T cells, and cytokine signaling (particularly Interleukin-33 and Interleukin-5). His laboratory investigates how immune cells interact with tissue microenvironments to maintain homeostasis and how dysregulation contributes to diseases like obesity, type 2 diabetes, and inflammatory conditions. Using foundation models, his team studies organ development, remodeling, and the role of fibroblasts and tissue-resident lymphocytes in health and disease. Dr. Molofsky's recent publications demonstrate a strong focus on neuroimmunology, particularly the role of immune cells in brain development and function, alongside ongoing work in pulmonary immunology, liver fibrosis, and adipose tissue immunometabolism. His research increasingly explores the intersection between the nervous and immune systems, with several high-impact publications on how immune cells shape neural circuits and behavior. Scientific Awards: Clarivate 2022 Most Highly Cited Researchers (top 1%) UCSF 2021 Medical School Foundations Curriculum Teaching Award AAI 2019 American Association of Immunology Travel Award UCSF 2019 Nina Ireland Program for Lung Health Award Multiple early-career awards including NIH K08 and Hillblom Foundation Young Investigator Award As a mentor, Dr. Molofsky has guided graduate students, post-doctoral fellows, and junior faculty, emphasizing the balance between clinical and research work. His laboratory is supported by multiple NIH R01 grants including projects on meningeal type 2 immunity in brain development, macrophage-fibroblast interactions in lung fibrosis, and the IL-33/ILC2 axis in various tissue contexts. He also holds funding from the California TRDRP and the Larry L. Hillblom Foundation. Dr. Molofsky's laboratory maintains active collaborations across UCSF, particularly with the NeuroImmunology Center for Excellence and the Pulmonary Research Group. His team utilizes advanced techniques including flow cytometry, tissue clearing, and imaging to study immune-stromal interactions in diverse tissue contexts.

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Ullas Pedmaleمشاهده پروفایل

دانشیار

Cold Spring Harbor LaboratoryUnited States

Ullas Pedmale is an Associate Professor at Cold Spring Harbor Laboratory (CSHL), leading the Pedmale Lab. His research focuses on understanding how environmental cues, such as light and temperature, modulate plant growth and development. This work has significant implications for agriculture and climate resilience. Pedmale earned his Ph.D. in Biological Sciences from the University of Missouri (2008) and completed postdoctoral training at the Salk Institute under Joanne Chory. He is also an Adjunct Faculty Member at Stony Brook University. His research interests include plant-environment interactions, light signaling pathways, and the molecular mechanisms underlying plant adaptation. Key projects involve studying shade avoidance responses, DNA damage repair in plants, and the role of histone modifications in flowering time regulation. Pedmale’s lab utilizes advanced technologies like state-of-the-art growth chambers to simulate climate change effects on plants. Notable achievements include the NIH Outstanding Investigator Award (2017) and recognition for groundbreaking work on plant photoreceptors. His recent publications highlight discoveries in RNA methylation, ubiquitin regulation, and epigenetic mechanisms controlling plant growth. Pedmale has mentored numerous graduate students and postdoctoral researchers, fostering a collaborative environment focused on advancing plant science. Lab activities emphasize interdisciplinary approaches, combining genetics, molecular biology, and computational tools. Current projects explore how plants integrate light and temperature signals to optimize resource allocation, with potential applications in crop improvement. The lab’s innovations, such as rapid protein expression in tobacco for pandemic response, demonstrate versatility in addressing global challenges.

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