جست‌وجوی استاد و پژوهشگر

Jianhua Cangمشاهده پروفایل

استاد

• Neural basis of vision
• Neural circuits
• Visual processing
• +۴ مورد دیگر

Jianhua 'JC' Cang holds the Paul T. Jones Jefferson Scholars Foundation Professorship in Neuroscience at the University of Virginia. His research focuses on the neural mechanisms underlying vision, particularly how visual stimuli are processed in the brain to guide behaviors. He uses mice and tree shrews as model organisms, employing techniques such as in vivo physiology, two-photon calcium imaging, genetics, and computational modeling. Education: B.S., Peking University (1996) Ph.D., University of Virginia (2001) Postdoctoral Fellowships: UC San Diego (2001-2002), UC San Francisco (2003-2006) Research interests include the development of neural circuits, binocular integration in visual cortex, and the role of superior colliculus in visuomotor transformations. His lab investigates how neural circuits encode visual features like motion direction, stereoscopic depth, and pattern motion. Recent work highlights the importance of recurrent circuits in depth perception and the genetic basis of neuronal subtypes in the superior colliculus. Publications span topics such as binocular integration in mouse V1, motion pattern selectivity, and transgenic tools for studying neuronal subtypes. Collaborations emphasize interdisciplinary approaches, combining experimental and computational methods to dissect complex circuits. Labs/Teams: Cang Lab focuses on integrating molecular, cellular, and systems neuroscience to understand sensory processing and behavior. The lab actively recruits PhD students and postdoctoral researchers.

Xiangmin Xuمشاهده پروفایل

استاد

• Neural Circuits
• Alzheimer's Disease
• Neuroscience
• +۳ مورد دیگر

Xiangmin Xu is a Chancellor's Professor in the Department of Anatomy & Neurobiology at the University of California, Irvine (UCI), and Director of the Center for Neural Circuit Mapping. His research focuses on the structure, function, and development of neural circuits, with particular emphasis on Alzheimer’s disease mechanisms, viral vector technologies, and neurobiological processes underlying cognition and disease. He leads interdisciplinary projects involving advanced imaging, genetic tools, and computational methods to map brain circuits and understand their role in neurological disorders. Dr. Xu’s work integrates molecular, cellular, and systems neuroscience approaches. Key areas of investigation include the application of viral tracers (e.g., rabies and HSV vectors) to map neuronal connectivity, the impact of microglia and endothelial cells in neurodegeneration, and translational studies using animal models like the Octodon degus to study aging and Alzheimer’s pathology. He also explores therapeutic interventions, such as BDNF augmentation, to mitigate cognitive decline. His publications span topics like neural circuit plasticity, spatial coding deficits in Alzheimer’s models, and the molecular basis of psychiatric disorders. Collaborations with clinicians and engineers highlight his commitment to bridging basic science and clinical applications. The Center for Neural Circuit Mapping under his direction fosters innovation in neurotechnology and data-driven neuroscience.

Jennifer Gelinasمشاهده پروفایل

دانشیار

• Epilepsy
• Neurology
• Molecular Biology
• +۳ مورد دیگر

Jennifer Gelinas, MD, PhD, is an Associate Professor in the Department of Pediatrics at the UCI School of Medicine. Her research focuses on the molecular and cellular mechanisms underlying epilepsy, particularly the role of potassium channels (e.g., KCNT1) in neuronal excitability and network dysfunction. She employs multiplatform approaches, including mouse models and in vitro studies, to investigate disease mechanisms and therapeutic targets for genetic epilepsies. Her work has elucidated how gain-of-function KCNT1 mutations impair inhibitory neurons, leading to hyperexcitability and seizures. This research bridges basic science and translational medicine, with implications for developing cell-type-specific therapies for epilepsy.

Chandramouli Chandrasekaranمشاهده پروفایل

استادیار

• Neuroscience
• Cognitive Science
• Decision-Making
• +۳ مورد دیگر

Chandramouli Chandrasekaran is an Assistant Professor in the Department of Psychological & Brain Sciences at Boston University, directing the Neural Dynamics of Cognition Lab. His research focuses on understanding how the brain processes sensory inputs and generates decisions through electrophysiological, behavioral, and computational methods. He uses dynamical systems theory and advanced neural recording techniques to study decision-making in animals, aiming to develop interventions for neurological disorders and brain-machine interfaces. Dr. Chandrasekaran earned his Ph.D. in Neuroscience from Princeton University. His work integrates multi-modal data analysis, recurrent neural networks, and in vivo recordings to explore cortical mechanisms underlying decision dynamics. Recent studies investigate laminar cortical activity, cell-type classification, and real-time neural decoding. His research trends emphasize computational modeling of neural circuits, translational applications of neural interfaces, and the interplay between sensory evidence and initial conditions in decision-making. Key contributions include developing methods like PhysMAP and ChaRTr, advancing understanding of premotor cortex function, and exploring cortical information bottlenecks during decisions. While no scientific awards are listed, his lab’s work aligns with translational goals in neurotechnology and clinical applications. Advising and grants are not explicitly detailed in the provided information. The Neural Dynamics of Cognition Lab serves as a central hub for his research collaborations and experimental studies.

Xiaomo Chenمشاهده پروفایل

استادیار

• Systems Neuroscience
• Visual Attention
• Neural Circuits
• +۲ مورد دیگر

Xiaomo Chen is Assistant Professor in Neurobiology, Physiology, and Behavior at the University of California, Davis, with affiliation to the Center for Neuroscience. Her laboratory investigates neural mechanisms of attention and decision-making using primate neurophysiology approaches. Dr. Chen's research focuses on cortical circuits governing visual attention, particularly interactions between parietal and prefrontal regions. She employs high-density electrophysiology, behavioral paradigms, and computational modeling to study how distributed brain networks regulate attentional selection and decision processes. Her recent publications demonstrate innovations in understanding frontoparietal network dynamics, neural timescale regulation, and cortical microcircuit organization. Work consistently bridges systems neuroscience with computational approaches to decode neural population activity. Laboratory & Methods: Leads neurophysiology laboratory utilizing high-density electrode arrays, optogenetics, and behavioral monitoring in nonhuman primates. Develops computational tools for neural decoding and signal processing.

Eran Mukamelمشاهده پروفایل

استاد

• Computational Neuroscience
• Epigenomics
• Neural Data Analysis
• +۳ مورد دیگر

Eran Mukamel is a Professor in the Department of Cognitive Science at the University of California San Diego (UCSD). His research focuses on computational analysis of neural data, electrophysiology of sleep and general anesthesia, and epigenomic dynamics in brain cells. He leads the Computational Neural DNA Dynamics (CNDD) Lab, affiliated with UCSD’s Halicioğlu Data Science Institute, the Kavli Institute for Brain and Mind, and the Neurosciences Graduate Program. His work integrates genomic, transcriptomic, and electrophysiological approaches to study brain function and disease. Research interests include neuronal epigenomics, single-cell methylome analysis, and systems neuroscience. He has pioneered methods for studying DNA methylation patterns in brain cells, linking epigenetic signatures to neuronal function and disease states. Recent projects involve investigating how environmental factors (e.g., maternal immune activation) impact brain development and epigenetic programming. Eran’s lab develops computational tools like SnapATAC for analyzing single-cell ATAC-seq data and collaborations span neurology, psychiatry, and computational biology. His contributions bridge molecular neuroscience with clinical applications, particularly in understanding neurodegenerative disorders like Alzheimer’s and ALS.

Damaris Lorenzoمشاهده پروفایل

دانشیار

• Cytoskeleton
• Membrane Adaptors
• Intracellular Transport
• +۷ مورد دیگر

Damaris Lorenzo is an Associate Professor in the Department of Cell & Developmental Biology at the University of Pennsylvania. Her research focuses on membrane and cytoskeleton adaptors in disease mechanisms, particularly neurodevelopmental disorders and metabolic syndromes. She holds a B.Sc. in Biochemistry from the University of Havana and a Ph.D. in Molecular, Cell, Developmental Biology, and Genetics from the University of Minnesota. Her work integrates mouse, fly, and human iPSC models to study protein adaptors in disease pathogenesis. Techniques include microscopy, proteomics, and gene profiling. Key areas include axonal transport, synaptic function, and metabolic regulation in skeletal muscle and adipocytes. The Lorenzo Lab (http://www.lorenzolab.org/) explores genetic variants linked to neurodevelopmental syndromes and diabetes, with implications for therapeutic strategies. Recent publications highlight mechanisms of insulin secretion, axonal branching regulation, and mitochondrial dynamics in muscle. Her research bridges human genetics with cellular biochemistry to translate genetic findings into diagnostic and therapeutic insights.

Stephen Crewsمشاهده پروفایل

استاد مدعو

• Developmental Biology
• Molecular Biology
• Neuroscience
• +۴ مورد دیگر

Stephen Crews is an Adjunct Professor in the Department of Biology at the University of North Carolina at Chapel Hill, with an affiliation as Professor of Biochemistry & Biophysics. His research focuses on the molecular mechanisms governing Drosophila central nervous system (CNS) development, including neuron and glia differentiation, transcriptional regulation during neurogenesis, and the application of genomic technologies to study CNS subpopulations. Key topics include midline cell lineage specification, enhancer diversity, and transcription factor interactions. Research Interests: Developmental mechanisms of Drosophila CNS neurons and glia Transcriptional regulation during neurogenesis and gliogenesis Functional analysis of enhancers and cis-regulatory modules Genomic profiling of CNS subpopulations Role of signaling pathways (e.g., Hedgehog, Notch) in cell fate decisions Lab Website: Link (currently deactivated). Contact: steve_crews@unc.edu, 2151 Genome Sciences Building.

• Neuroscience
• Computational Neuroscience
• Neural Networks
• +۳ مورد دیگر

Robert Lindroos is a Research Fellow at KTH Royal Institute of Technology, specializing in computational neuroscience and brain-inspired computing. He transitioned from a culinary background to academia, earning degrees in civil engineering, engineering physics (KTH), and a PhD in neuroscience (Karolinska Institutet). His research focuses on understanding neural mechanisms underlying cognition, particularly in olfactory processing and Parkinson's disease, conducted within the dBRAIN and Digital Futures initiatives. Key research interests include computational models of basal ganglia circuits, neuromodulation effects (dopamine/choline), and age-related sensory decline. Lindroos has explored odor identification deficits, synaptic plasticity in spiny projection neurons, and the neurocomputational basis of perceptual errors. His work bridges engineering principles with biological systems, aiming to develop brain-like computing paradigms. Publications span computational neuroscience (2011–2025), with recent emphasis on olfactory system modeling and neuromodulatory dynamics. His early work included lunar communication system design, showcasing interdisciplinary technical expertise. Lindroos collaborates with dBRAIN and Digital Futures at KTH, advancing computational approaches to neurological disorders and neural network simulation.

Rachy Abrahamمشاهده پروفایل

پژوهشگر

• RNA viruses
• Viral pathogenesis
• Viral macrodomain
• +۳ مورد دیگر

Rachy Abraham is an Assistant Scientist in the Department of Biochemistry and Molecular Biology at Johns Hopkins University School of Medicine. Her research focuses on understanding viral pathogenesis mechanisms, particularly ADP-ribosylation pathways in alphaviruses like Chikungunya. She holds a PhD from the University of Kerala (2016) and has received notable awards including the Dr M R Das Career Award (2016) and Fulbright Fellowship (2013). Her work explores how viral macrodomains manipulate host cell processes, including stress granule dynamics and neurovirulence. Key contributions include identifying roles for nsP3 macrodomain activities in viral replication and developing live-attenuated Chikungunya virus strains for vaccine research. Collaborations with experts like Diane E. Griffin and Anthony K. L. Leung underpin her interdisciplinary approach to virology and host-pathogen interactions. Recent studies highlight her team's exploration of interferon responses and ribonucleoprotein interactions in viral infections. Research is supported by grants focused on viral replication mechanisms and neurotropic viral diseases.

Erdem Karatekinمشاهده پروفایل

دانشیار

• Biophysics
• Membrane Fusion
• Neurophysiology
• +۵ مورد دیگر

Erdem Karatekin is an Associate Professor in the Department of Cellular and Molecular Physiology at Yale School of Medicine, with a secondary appointment in Molecular Biophysics and Biochemistry. He holds affiliations with multiple interdisciplinary programs, including the Wu Tsai Institute and the Neuroscience Track. His research focuses on membrane dynamics, particularly mechanisms of neurotransmitter release, membrane tension regulation, and bacterial membrane fission. Karatekin earned his Ph.D. in Chemistry from Columbia University (1999) and conducted postdoctoral research at the Curie Institute and Yale University before joining Yale’s faculty in 2012. His educational background includes a B.S. in Chemical Engineering from the University of Louisville (1994) and an M.Sc. in Chemistry from Columbia (1996). Key honors include the Kavli Neuroscience Scholar Award (2013) and the LabEx Cell(n)Scale International Chair (2021). Research Interests: - Mechanisms of fusion pore dynamics in synaptic transmission and hair cells - Membrane tension propagation in neuronal and neuroendocrine cells - Bacterial membrane fission during sporulation via FisB protein mechanisms Awards: Kavli Neuroscience Scholar Award (2013) LabEx Cell(n)Scale International Chair (2021) EMBO Long-term Fellowship (2002) Laboratory and Collaborations: The Karatekin Lab investigates membrane dynamics using advanced microscopy and biophysical techniques. Collaborators include David Zenisek, Derek Toomre, and Chenxiang Lin, focusing on projects such as fusion pore modulation by Synaptotagmin-1 and membrane tension analysis via LEMONADE technology.

Smita Krishnaswamyمشاهده پروفایل

دانشیار

• Machine Learning
• Computational Biology
• Biomedical Data Science
• +۶ مورد دیگر

Smita Krishnaswamy is an Associate Professor of Genetics and Computer Science at Yale University, with joint appointments in the Yale School of Medicine and Yale School of Engineering & Applied Science. She leads the Krishnaswamy Lab, which focuses on developing machine learning and deep learning methods to analyze high-dimensional biomedical data. Her work integrates geometric deep learning, signal processing, and topological data analysis to study complex biological systems, including immunology, cancer, neuroscience, and developmental biology. Dr. Krishnaswamy holds a PhD in Computer Science and Engineering from the University of Michigan and completed postdoctoral training at Columbia University. She is affiliated with the Wu Tsai Institute, Institute for Foundations of Data Science, and Computational Biology and Bioinformatics program at Yale. Her research has led to innovations like PHATE visualization, MELD analysis, and geometric scattering frameworks, which are widely used in biomedical research. Her scientific achievements include the Excellence in Science Early-Career Investigator Award (FASEB, 2022) and the Yale Cancer Center Class of '61 Award (2025). She collaborates extensively with clinicians and researchers to translate computational methods into clinical applications, such as predicting stroke etiology and modeling Alzheimer’s disease progression. The Krishnaswamy Lab’s projects span drug discovery, single-cell analysis, and medical image segmentation, with a focus on developing open-source tools like MAGIC, SAUCIE, and TrajectoryNet. Their work bridges theoretical foundations of data science with practical biomedical challenges, fostering interdisciplinary collaborations across Yale and beyond.

Vicky Yaoمشاهده پروفایل

استادیار

• Computational Biology
• Machine Learning
• Statistical Methods
• +۳ مورد دیگر

Vicky Yao is an Assistant Professor in the Department of Computer Science at Rice University, specializing in computational biology. Her research focuses on developing machine learning and statistical methods to understand biological circuitry underlying diseases like Alzheimer’s, Parkinson’s, and rheumatoid arthritis. She emphasizes creating intuitive systems to interface with her models and predictions, such as ALPINE for phenotype decoding and ANDES for gene set analysis. Education : PhD in Computer Science, Princeton University (2018) MS in Statistics, University of Chicago (2011) BA in Economics, University of Chicago (2011) Research Interests : Dr. Yao’s work bridges computational methods and biological systems, with a focus on: Modeling tissue and cell type specificity Understanding disease progression through genomics and network biology Developing interpretable machine learning tools for biomedical data analysis Publications & Trends : Her recent work (2022–2025) highlights advancements in: Multi-condition sequencing data analysis for disease phenotypes Gene embedding models for functional prediction Cell-type specific associations in complex traits Biomarkers for rheumatoid arthritis flares Awards : 2019 CPRIT Scholar (Texas Cancer Research) 2011 Gordon Wu Fellow (Princeton) Labs & Tools : Dr. Yao’s lab develops open-source tools like Splitpea (protein interaction network analysis) and maintains a research portal for interactive systems. Her work emphasizes translational applications in precision medicine and disease modeling.

• Virology
• Immunology
• Infectious Diseases
• +۳ مورد دیگر

Peiwen Lu is an Associate Research Scientist at Yale School of Medicine's Immunobiology Department. Her work focuses on viral immunology, SARS-CoV-2 pathogenesis, and immune responses in infectious diseases. She collaborates extensively with researchers like Akiko Iwasaki and Albert Ko on projects involving vaccine development, long-COVID mechanisms, and viral resistance mutations. Key research areas include the interplay between viruses and host immunity, particularly in neuroinvasion and mucosal immune responses. Her studies explore B cell biology, antibody dynamics, and tumor immune interactions. Lu has contributed to high-impact publications on SARS-CoV-2 variants, reinfection dynamics, and vaccine efficacy. Her recent work addresses pressing issues such as remdesivir resistance in immunocompromised patients and the neurological impacts of mild respiratory COVID cases. She also investigates sex-based differences in immune responses to viral infections. Lu's research integrates clinical, immunological, and molecular approaches to improve diagnostic methods and therapeutic strategies.

Justin R Fallonمشاهده پروفایل

استاد

• Alzheimer's Disease
• Cell Biology
• Drug Discovery
• +۶ مورد دیگر

Justin R Fallon is a Professor of Medical Science and Professor of Psychiatry and Human Behavior at Brown University. He leads the Fallon Lab, bridging basic science and translational research focused on the MuSK-BMP signaling pathway. His work investigates neural and muscle stem cell regulation, synaptic integrity, and therapeutic development for Alzheimer's Disease, Major Depressive Disorder, and neuromuscular disorders. Key collaborators include Thomas Serre, Ashley Webb, and Roee Gutman. Research Interests: His lab explores MuSK-BMP pathway mechanisms in muscle and neural stem cells, fragile X granules in axons, and suppressors of familial ALS. Translational efforts include co-founding Bolden Therapeutics to advance therapies targeting adult hippocampal neurogenesis. His work spans drug discovery (e.g., biglycan for DMD) and novel behavioral assays for neurodegenerative disease modeling. Publications: Over 80 publications span neuromuscular junction biology, synaptic plasticity, and therapeutic targets. Recent work highlights MuSK's role in Nav1.4 ion channel localization and BMP co-receptor functions. Awards & Recognition: Recipient of the EndDuchenne Prize (2008), Basil O'Connor Scholar Award (2003-2005), and multiple editorial roles. Active in scientific advisory roles for foundations like FRAXA and Charley's Fund. Grants: NIH R41 AG073144 (Alzheimer's neurogenesis therapy), R21 NS112743 (ALS behavioral phenotyping), and COBRE mentorship for early-career researchers. Labs/Teams: Directs the Fallon Lab at Brown, collaborating with interdisciplinary teams in neuroscience, molecular biology, and translational medicine.