جست‌وجوی استاد و پژوهشگر

Kevin A. Mazurekمشاهده پروفایل

استادیار مدعو

• Neural Control of Movement
• Biomedical Engineering
• Neuroprosthetics
• +۳ مورد دیگر

Kevin A. Mazurek, Ph.D., is an Adjunct Assistant Professor in the Department of Neuroscience at the University of Rochester School of Medicine and Dentistry. He holds a Ph.D. in Electrical Engineering from Johns Hopkins University (2013) and a B.S. in Electrical Engineering from Brown University (2008). His research focuses on the neural mechanisms controlling voluntary movements and developing rehabilitative solutions for neurologic diseases. He has held postdoctoral fellowships in Marc Schieber's laboratory, studying cortical communication and intracortical stimulation. Mazurek's interdisciplinary work bridges neuroscience, biomedical engineering, and electrical engineering. He has received awards including the NIH NINDS F31 Fellowship and the CTSI KL2 Award. His current research explores how neural activity differs when performing movements under varying sensory and contextual instructions. He is affiliated with the Cognitive Neurophysiology Laboratory and has contributed to over 25 peer-reviewed publications. Mazurek’s long-term goal is to leverage brain-machine interfaces and neural stimulation to restore motor function in impaired individuals. Education: Ph.D., Electrical Engineering, Johns Hopkins University, 2013 M.S., Electrical Engineering, Johns Hopkins University, 2010 B.S., Electrical Engineering, Brown University, 2008 Research Interests: Neural control of voluntary movements Rehabilitation engineering Brain-machine interfaces Intracortical microstimulation Spinal cord injury recovery Sensory-motor integration Key Awards: KL2 Scholar Award, University of Rochester CTSI (2018) NINDS F32 NRSA Fellowship (2014–2018) Outstanding Postdoctoral Researcher Award (2017) Labs & Teams: Cognitive Neurophysiology Laboratory, Schieber Lab (as former postdoc).

Daqing Wanمشاهده پروفایل

استاد

• Algebra
• Number Theory
• Finite Fields
• +۳ مورد دیگر

Daqing Wan is a Professor in the Department of Mathematics at the University of California, Irvine. His research focuses on algebra and number theory, with a particular emphasis on finite fields, exponential sums, and arithmetic geometry. He has made significant contributions to understanding zeta functions, Kloosterman sums, and coding theory applications. His work spans topics such as algebraic geometry over finite fields, p-adic cohomology, and the arithmetic of function fields. Notable research interests include the study of Frobenius eigenvalues, deep holes in Reed-Solomon codes, and the Lang-Trotter conjecture for elliptic curves. Wan has also explored the interplay between algebraic structures and their applications in cryptography and coding theory. Recent publications highlight his expertise in exponential sums, Artin-Schreier-Witt towers, and the analysis of algebraic varieties over finite fields. His research often bridges pure mathematics with computational aspects, such as algorithmic counting over finite fields and the study of zeta functions in p-adic settings.

Laura Ann Ewellمشاهده پروفایل

استادیار

• Neuroscience
• Epilepsy
• Hippocampal Function
• +۳ مورد دیگر

Laura Ann Ewell is an Assistant Professor in the Department of Anatomy & Neurobiology at the University of California, Irvine. Her research focuses on understanding how neural circuits in the hippocampus and cerebellum process information, particularly in the context of neurological disorders like epilepsy and traumatic brain injury. She investigates mechanisms underlying cognitive deficits, including disrupted spatial memory and pattern separation, and develops tools for monitoring neural activity in vivo. Her work combines electrophysiological recordings, computational modeling, and behavioral assays to study how pathological conditions alter neural coding. Notable contributions include elucidating the role of dentate gyrus circuitry in pattern separation after brain injury and identifying aberrant dendritic excitability as a target for treating epilepsy-related memory impairments. She also pioneered low-cost platforms for multianimal seizure monitoring. Ewell collaborates on projects involving hippocampal and cerebellar dysfunction, leveraging interdisciplinary approaches to bridge cellular, network, and behavioral levels of analysis. Her studies emphasize translational relevance, aiming to inform therapeutic strategies for cognitive comorbidities in neurological diseases.

Julie C Lauterbornمشاهده پروفایل

پژوهشگر

• Neurotrophic Factors
• Synaptic Plasticity
• Epilepsy
• +۳ مورد دیگر

Dr. Julie C. Lauterborn is a researcher at the University of California, Irvine, School of Medicine's Department of Anatomy & Neurobiology. Her work focuses on neurotrophic factors, synaptic plasticity, epilepsy, and hippocampal neurobiology. She has contributed to studies on neurodevelopmental disorders (e.g., Fragile X syndrome), Alzheimer’s disease, and sex differences in brain function. Key research includes mechanisms of synaptic plasticity in memory formation, neuroinflammatory modulation of hippocampal circuits, and the role of neurotrophic factors in cognitive resilience. Her publications span studies on synaptic imbalance in Alzheimer’s, E/I ratio changes, and interventions for intellectual disabilities. Collaborators include Christine M. Gall and Kathleen M. Guthrie, with research supported by NIH grants (e.g., MH09355, NS00915).

Thilo Womelsdorfمشاهده پروفایل

دانشیار

• Neuroscience
• Cognitive Neuroscience
• Systems Neuroscience
• +۷ مورد دیگر

Thilo Womelsdorf is an Associate Professor in the Departments of Psychology, Computer Science, and Biomedical Engineering at Vanderbilt University, School of Engineering. He leads the Attention Circuits Control Lab , investigating neural mechanisms of attention and learning in nonhuman primates and humans using advanced neurophysiological and computational methods. His work integrates 3D virtual reality paradigms, multi-area electrophysiological recordings, and neuromodulation techniques to study brain-behavior relationships. Education : PhD from German Primate Center (Göttingen University), postdoctoral training at Donders Institute (Netherlands) and Robarts Research Institute (Canada). Recipient of the prestigious E.W.R. Steacie Memorial Fellowship (2017) for bridging cellular and network-level neuroscience. Research : Focuses on how neural circuits implement attentional control and adaptive learning. Key areas include reinforcement learning modeling, causal circuit analysis via electrical/molecular interventions, and translational applications for neuropharmacology. His lab employs cutting-edge tools like spike artifact removal algorithms and multi-neuromodulator measurements. Grants & Collaborations : Active in developing neuro-oscillation biomarkers for neuropsychiatric treatments, and creating multi-task cognitive assessment platforms. Collaborates across disciplines to advance translational neuroscience. Labs/Teams : Directs the Attention Circuits Control Lab, fostering interdisciplinary research between engineering, computer science, and neuroscience. Involved in developing neurotechnology tools like the Quaddles object set and USE experimental suite.

Steve Ramirezمشاهده پروفایل

دانشیار

• Memory Engrams
• Neural Circuits
• Optogenetics
• +۲ مورد دیگر

Steve Ramirez is Associate Professor in Psychological & Brain Sciences at Boston University's College of Arts & Sciences, where he directs the Ramirez Group. His research combines optogenetics, in vivo imaging, and behavioral analysis to investigate memory engram circuitry and develop artificial modulation techniques for treating mental health disorders. Key research themes: Engram identification and manipulation in hippocampal-amygdala circuits Astrocyte involvement in memory processing Cross-species memory modulation paradigms Novel neurotechnologies (e.g., implantable ultrasound stimulators) Recent work explores pathological memory formation, brain-wide engram networks, and conflict resolution mechanisms. His lab maintains expertise in cutting-edge techniques including optogenetic memory editing and cellular-resolution activity mapping.

Arash Yazdanbakhshمشاهده پروفایل

عضو هیئت علمی

• Computational Neuroscience
• Visual Perception
• Human Electrophysiology
• +۳ مورد دیگر

Arash Yazdanbakhsh is a Research Assistant Professor and Director of the Computational Neuroscience & Vision Lab in Boston University's Department of Psychological & Brain Sciences. He earned an M.D. from Tehran Medical University, a Ph.D. from Boston University, and completed postdoctoral research in Neurobiology at Harvard Medical School. Research focuses on human vision modeling, electrophysiology, and psychophysics, with specific projects examining cortical mechanisms of figure-ground segregation, motion integration via multiscale sampling, and spatio-temporal dynamics of neural receptive fields. Work bridges computational neuroscience with clinical applications in schizophrenia and autism research. Recent publications (2020-2024) demonstrate strong emphasis on neural modeling of visual and cognitive processes, with methodological innovations in machine learning applications to neuropathology. Dominant themes include: schizophrenia neural circuitry (33%), autism perception studies (27%), sleep neurophysiology (13%), and fundamental vision mechanisms (27%). Article keywords frequently involve computational psychiatry, thalamocortical circuits, and deep learning approaches.

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.

Shannon Tubridyمشاهده پروفایل

استادیار بالینی

• Human Memory
• Learning Processes
• Neuroimaging
• +۳ مورد دیگر

Shannon Tubridy is a Clinical Assistant Professor of Psychology at New York University's Department of Psychology, housed within the College of Arts & Science. Their research focuses on human memory and learning mechanisms, employing behavioral studies, neuroimaging (e.g., fMRI, MEG), and computational modeling to explore memory retention, associative learning, and neural-cognitive interactions. A core interest is how prior experiences and mental states influence learning processes. Education: PhD in Psychology from NYU; BA in Experimental Psychology from Reed College. Teaching includes courses on Memory & Learning, Computational Modeling of the Mind, Research Methods, Python Programming for Psychology, and Statistics. Their work bridges cognitive science and neuroscience to advance understanding of memory systems and their neural underpinnings. Recent publications span topics like memory encoding prediction, neuroimaging decoding techniques, and temporal sequence processing. Though no explicit grants or awards are listed, their research demonstrates sustained engagement with cutting-edge methodologies in memory neuroscience.

Douglas Phanstielمشاهده پروفایل

دانشیار

• 3D Chromatin Structure
• Genome Editing
• Cellular Differentiation
• +۷ مورد دیگر

Douglas Phanstiel, PhD is an Associate Professor in the Department of Cell Biology and Physiology at the University of North Carolina at Chapel Hill School of Medicine. His research focuses on understanding the molecular mechanisms of chromatin architecture and its role in cellular differentiation, particularly in diseases like rheumatoid arthritis, osteoarthritis, and Alzheimer’s Disease. He leads a lab utilizing genomic, proteomic, and computational tools to study DNA looping, epigenetic regulation, and CRISPR-based genome editing. Education: B.S., University of California, San Diego Ph.D., University of Wisconsin Postdoc, Stanford University Research Interests: 3D chromatin structure and its role in gene regulation Phase separation-driven chromatin looping in cancer Genome editing techniques for disease modeling Software development for genomic data analysis (e.g., Coral, Plotgardener) Recent Article Trends: Recent work highlights the lab’s focus on osteoarthritis mechanisms via chromatin accessibility and eQTL mapping, Alzheimer’s risk gene identification through 3D chromatin analysis, and CRISPR screening for cancer drivers. Tools like Coral enable kinome visualization, while Mariner aids Hi-C data exploration. Awards: 2024 HHMI Gilliam Fellow 2017 Junior Faculty Development Award 2015 K99/R00 Pathway to Independence Award 2012 Damon Runyon Fellowship Grants & Advising: Leads NIH-funded projects on osteoarthritis and Alzheimer’s, including a $2.5M NIAMS grant. Advises students like JP Flores (Gilliam Fellow) and Marielle Bond (F31 NIH grant recipient). Collaborates with labs at UNC and beyond to integrate genomics, proteomics, and computational biology. Labs & Teams: The Phanstiel Lab is part of UNC Lineberger Comprehensive Cancer Center and Thurston Arthritis Research Center. Projects include developing high-throughput CRISPR screens and analyzing chromatin dynamics in disease models.

Dragan Milenkovicمشاهده پروفایل

پژوهشگر

• Molecular Genetics
• Cardiovascular Health
• Neurodegenerative Diseases
• +۵ مورد دیگر

Dragan Milenkovic, Ph.D., is an Associate Researcher at the University of California, Davis (UC Davis), Department of Nutrition. His work focuses on the impact of bioactive compounds (e.g., polyphenols) on cardiovascular and neurodegenerative diseases, using multi-omic approaches including genomics, epigenetics, and systems biology. Education: B.S. in Cell Biology and Physiology (University of Tours/Paris 7, France), M.D. in Genome Analyses and Molecular Modeling (Paris 7), and Ph.D. in Molecular Genetics (University of Versailles). Research Interests: Investigates how nutrients and plant compounds influence disease mechanisms. Key areas include nutrigenomic modifications in animal models and humans, polyphenol metabolism, and translational research combining in vitro, animal, and clinical trial methodologies. He employs multi-omics to integrate genomic, proteomic, and epigenetic data. Key Findings: His work demonstrates protective effects of polyphenols against inflammation, cognitive dysfunction, and atherosclerosis. Recent studies highlight the role of epicatechin metabolites in vascular health and microbiome-derived metabolites in endothelial function. Awards: No awards explicitly listed in provided text. Advising/Grants: No student advisees listed. Research has been supported by collaborative projects (e.g., with UC Davis, European COST Action POSITIVe). Labs/Teams: Affiliated with UC Davis Department of Nutrition labs, focusing on nutrigenomics and systems biology.

Yuan Heمشاهده پروفایل

استاد

• Structural Biology
• Biophysics
• Chromatin Biology
• +۳ مورد دیگر

Yuan He is the Bloomberg Distinguished Professor of Structural Biophysics and Chromatin Biology at Johns Hopkins University, holding appointments in the Department of Biophysics and the Department of Biology. He leads research into the molecular mechanisms governing genome processes, including DNA reading, writing, and repair. His work employs advanced techniques like cryo-electron microscopy and structural biology to study large protein-DNA complexes. He obtained his PhD in Biochemistry and Biophysics from Northwestern University, followed by postdoctoral training at UC Berkeley under Eva Nogales. Before joining Johns Hopkins in 2024, he established his independent lab at Northwestern in 2015. His research spans structural biology, biophysics, and epigenetics, with a focus on transcriptional regulation and chromatin dynamics. Key research interests include understanding how cells interact with the genome at structural and mechanistic levels. He has made seminal contributions to mapping the human transcription pre-initiation complex and elucidating DNA repair mechanisms. His work integrates structural biology with genomic approaches to unravel disease-relevant processes, such as cancer immunology and viral entry mechanisms. Awarded the Burton Medal by the Microscopy Society of America, Dr. He’s research has been featured in high-impact journals. His lab collaborates broadly, leveraging interdisciplinary tools to address fundamental biological questions. Current projects explore tissue-specific gene regulation, CRISPR-based screening, and the role of epigenetic factors in disease pathogenesis.

John Kimمشاهده پروفایل

دانشیار

• MicroRNA Biology
• Small RNA Function
• Genome Regulation
• +۳ مورد دیگر

John Kim is an Associate Professor in the Department of Biology at Johns Hopkins University (Krieger School of Arts & Sciences), focusing on the biological functions of microRNAs and small RNAs. Previously, he held positions at the University of Michigan's Life Sciences Institute (2006–2015) and completed postdoctoral research at Harvard Medical School and MGH (2001–2006). His academic journey includes a PhD in Biochemistry and Molecular Biology from UC Davis (2000) and a B.S. in Molecular Biophysics and Biochemistry from Yale University (1990). His research explores how small RNAs regulate developmental processes, gene expression, and epigenetic mechanisms in organisms like C. elegans and Drosophila. Key themes include microRNA-mediated gene silencing, intergenerational RNA inheritance, and the role of small RNAs in chromatin dynamics. Notable contributions include studies on piRNA biogenesis, molting cycle regulation in C. elegans, and the formation of G bodies during hypoxia. Kim has received prestigious awards such as the Frederick C. Neidhardt Endowed Professorship (2013) and was a Pew Scholar in the Biomedical Sciences (2009–2013). His work integrates experimental and computational approaches, as seen in studies of transcriptome-wide RNA binding sites and gPAR-CLIP-seq methodologies. His lab investigates molecular mechanisms underlying RNA function in development and stress responses, with a focus on transgenerational epigenetic inheritance and metabolic adaptations. Collaborative efforts include projects on glycolytic enzyme compartmentalization and the role of RNAi in genome defense.

• Geometric Representation Theory
• Lie Algebras
• Lie Superalgebras
• +۶ مورد دیگر

Mee Seong Im is an Associate Research Professor in the Department of Mathematics at Johns Hopkins University. Her research focuses on geometric and categorical aspects of representation theory, topological quantum field theories, and Lie (super)algebras. She holds a PhD from the University of Illinois at Urbana-Champaign and has authored numerous papers in algebraic geometry, quantum topology, and mathematical physics. Education: PhD in Mathematics, University of Illinois at Urbana-Champaign MA in Mathematics, University of Georgia MPhil in Mathematics, University of Birmingham BSc in Physics and Mathematics, University of Georgia Research Interests: Geometric representation theory, Lie algebras/superalgebras, TQFTs, categorification, algebraic geometry, and their connections to mathematical physics and K-theory. Recent Work: Contributions include studies on foam cobordisms, periplectic Lie superalgebras, and TQFTs over Dedekind domains. Collaborations with Mikhail Khovanov and others explore categorical structures and their applications in topology and algebra.

Patricia Janakمشاهده پروفایل

استاد

• Associative Learning
• Addiction Neuroscience
• Reward Mechanisms
• +۳ مورد دیگر

Patricia Janak is the Bloomberg Distinguished Professor at Johns Hopkins University, holding dual affiliations in the Department of Psychological and Brain Sciences (Krieger School of Arts & Sciences) and the Solomon H. Snyder Department of Neuroscience at the Johns Hopkins School of Medicine. Her research focuses on understanding the neural and behavioral mechanisms of associative learning and their role in addiction. She utilizes animal models, optogenetics, and in vivo electrophysiology to study how brain regions like the amygdala, nucleus accumbens, and dopamine pathways regulate reward-seeking and maladaptive behaviors. Patricia Janak earned her PhD from the University of California, Berkeley. Her work bridges basic neuroscience with translational research, aiming to uncover how environmental cues and neural circuits contribute to relapse in alcohol and drug addiction. Key projects include investigating dopamine’s role in reward prediction, the amygdala’s encoding of cue-outcome associations, and the impact of chronic ethanol exposure on cognitive flexibility. Her research interests emphasize the interplay between brain circuits and behavioral control, particularly in contexts involving reward, fear, and decision-making. Recent studies explore sex-dependent differences in addiction, the neural basis of habitual behaviors, and how optogenetic tools can disrupt alcohol-seeking behaviors. Awards and grants are not explicitly listed, but her lab’s extensive publications reflect significant contributions to addiction neuroscience. Patricia Janak advises and mentors lab members through her roles in both departments, focusing on training in advanced neurobiological techniques. The Janak Lab collaborates across disciplines to map neural circuits involved in addiction, with a current emphasis on the nucleus accumbens, basolateral amygdala, and mesolimbic dopamine systems. Her work also examines therapeutic interventions, such as mTORC1 inhibition and pharmacological modulation of GABAA receptors, to disrupt relapse mechanisms.