جست‌وجوی استاد و پژوهشگر

• Neural Stem Cells
• Adult Neurogenesis
• Brain Development
• +۵ مورد دیگر

Arturo Alvarez-Buylla is a Professor of Neurological Surgery at the University of California, San Francisco (UCSF) School of Medicine and a member of the UCSF Weill Institute for Neurosciences. His research focuses on neural stem cells, adult neurogenesis, brain development, and neural transplantation therapies. He leads multiple NIH-funded research projects including R01MH122478, R01NS113910, R01EY025174, P01NS083513, R37HD032116, and R37NS028478. Dr. Alvarez-Buylla's research interests center on understanding the cellular and molecular mechanisms of neural stem cells in the adult brain, particularly within the ventricular-subventricular zone (V-SVZ). His work explores cortical interneuron development, neural circuit assembly, and the potential for cell-based therapies for neurological disorders. His laboratory investigates how neural stem cells generate diverse neuronal types during development and how these processes might be harnessed for brain repair. A significant portion of his recent research has focused on human brain development, examining molecular and cellular dynamics at single-cell resolution. Analysis of his recent publications reveals a strong emphasis on the ventricular-subventricular zone as a neural stem cell niche, cortical interneuron specification and survival, and the application of neural transplantation for restoring neural function. His work spans from fundamental developmental biology to translational applications, with particular interest in using GABAergic interneuron transplantation to treat epilepsy and restore cortical plasticity. Dr. Alvarez-Buylla collaborates extensively with leading researchers in the field, including Arnold Kriegstein, John Rubenstein, and Manuel Garcia-Verdugo. His laboratory has trained numerous postdoctoral fellows and graduate students who have gone on to establish independent research careers in neuroscience.

Romy Lorenzمشاهده پروفایل

استاد پژوهشی

• Cognitive Neuroscience
• Neurotechnology
• Brain-Computer Interfaces
• +۷ مورد دیگر

Dr. Romy Lorenz is a Max Planck Research Group Leader at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, where she leads the Cognitive Neuroscience & Neurotechnology research group. She previously held postdoctoral positions at the University of Cambridge, Stanford University, and the Max Planck Institute for Human Cognitive & Brain Sciences from 2018 to 2023 as a Sir Henry Wellcome Postdoctoral Fellow. Dr. Lorenz's educational background includes: BSc in Psychology from Leuphana University (2009) MSc in Human-Machine Interaction from TU Berlin (2012) PhD in Neurotechnology from Imperial College London (2017) Her research focuses on understanding the frontoparietal brain network mechanisms that underpin high-level cognition and adaptive behavior. She employs an interdisciplinary approach combining subject-specific brain-computer interface technology, fMRI at standard and ultrahigh magnetic field strengths (3T, 7T, and 9.4T), EEG, non-invasive brain stimulation, computational modeling, and machine learning techniques. A key innovation in her work is the development of neuroadaptive Bayesian optimization methods that allow for real-time, closed-loop experimental design in cognitive neuroscience. Dr. Lorenz's recent publications demonstrate a clear trend toward investigating brain function at increasingly fine-grained spatial scales, particularly exploring layer-specific processing in the prefrontal cortex using ultrahigh-field fMRI. Her work bridges computational neuroscience, cognitive psychology, and neurotechnology, with applications ranging from basic cognitive science to clinical rehabilitation. A significant portion of her research focuses on closed-loop systems that integrate real-time brain imaging with adaptive experimental design and stimulation protocols. Her notable scientific achievements include: Outstanding Contributions in AI Innovation Award Sir Henry Wellcome Postdoctoral Fellowship Funding from the German Scholar Organisation Fellowships from the Wellcome Trust and Engineering and Physical Sciences Research Council Dr. Lorenz has secured significant research funding for her work, including support from the Wellcome Trust and German funding agencies. She has mentored several students, including Master's students like Pedro who has presented their collaborative work at conferences. Her research group actively recruits postdoctoral researchers and students interested in cognitive neuroscience and neurotechnology. Dr. Lorenz leads the Cognitive Neuroscience & Neurotechnology research group at the Max Planck Institute for Biological Cybernetics, which focuses on developing and applying advanced neuroimaging and computational methods to understand high-level cognitive functions. She has also co-initiated interest groups such as CoCoNUT (Computational Cognitive Neuroscience at the Max Planck Institute) to foster interdisciplinary collaboration. Her lab utilizes cutting-edge technologies including real-time fMRI at ultrahigh field strengths, EEG, and non-invasive brain stimulation to investigate frontoparietal network function.

• Neuroscience
• Nanoscience
• Neural Engineering
• +۳ مورد دیگر

Dr. Krishna Jayant serves as Assistant Professor of Biomedical Engineering in Purdue University's College of Engineering, where he joined in 2019. His research bridges nanoscience and neuroscience to develop advanced neural interfaces and imaging tools for studying neural circuit computation. Education background: Bachelor of Engineering in Electrical Engineering, National Institute of Technology (NIT), India Master of Science in Electrical Engineering, Cornell University Doctor of Philosophy in Electrical Engineering, Cornell University His primary research focuses on creating nanoprobes and integrated electronic systems that integrate with two-photon microscopy and electrophysiology to investigate how synaptic and dendritic mechanisms influence neural circuit function. This interdisciplinary work combines electrical engineering, materials science, and neuroscience to decode fundamental neural computation processes in both healthy and diseased states. Analysis of his 15 most recent publications reveals dominant themes in dendritic computation, neural circuit dynamics, and neurodegenerative disease mechanisms. Key trends include the development of conductive polymer neural interfaces, energy-efficient wireless implants using biphasic quasistatic communication, and advanced techniques like two-photon holographic uncaging to probe dendritic integration in Parkinson's disease models and sensory processing. Scientific Awards: While specific current advisees aren't listed, Dr. Jayant's program at Purdue likely involves mentoring graduate students in neural engineering. His innovative work in neural interfaces and circuit analysis is expected to attract significant research funding from agencies like NIH and NSF, though specific grants aren't detailed in available materials. Dr. Jayant leads a laboratory that develops cutting-edge tools including flexible electrodes for multimodal neural recording and nanoprobes for intracellular electrophysiology. His team maintains active collaborations with Columbia University and the University of Bologna to translate fundamental neuroscience discoveries into applications for neurological disorders and brain-computer interfaces.

• Neuroimaging
• Molecular fMRI
• Systems Neuroscience
• +۱۲ مورد دیگر

Dr. Nan Li is a faculty member at UT Southwestern Medical Center, School of Medicine, in the Department of Radiology. She leads the N-LAB, a cutting-edge research group developing novel whole-brain imaging methods to integrate molecular and systems neuroscience. Her work bridges biomedical engineering and neuroscience to solve fundamental brain science problems. Education: B.S. in Biomedical Engineering, Shanghai Jiao Tong University Ph.D. in Biomedical Engineering, Johns Hopkins University School of Medicine Postdoctoral Associate, MIT, under Dr. Alan Jasanoff Dr. Li's research focuses on understanding the neural mechanisms of reward, learning, and memory in rodent brains. She develops innovative molecular fMRI techniques, including optogenetic and hemogenetic fMRI, to non-invasively probe brain circuitry and neuromodulators like dopamine. Her work enables calcium signaling detection via MRI, offering a non-optical alternative to GCaMP imaging. She aims to advance functional brain imaging for improved diagnosis and treatment of neurological disorders. Her recent publications demonstrate a strong trend in developing and applying molecular fMRI tools to dissect neural circuits, particularly those involving dopamine and calcium signaling. The work spans from sensor design to in vivo application, emphasizing non-invasive, whole-brain imaging with cellular-level insight. Keywords across her research include neuroimaging, molecular sensors, fMRI, optogenetics, and neural plasticity. Scientific Awards and Honors: McGovern Rising Stars at MIT (2020) Harvard Chinese Life Sciences Distinguished Research Award Stanley Fahn Research Fellowship Women in Bio Robbie Melton Scholarship Award UT System Rising STARs Award Endowed Thomas O. Hicks Scholar in Medical Research Dr. Li has secured significant recognition and funding through prestigious fellowships and awards, indicating strong grant support. She mentors a research team in the N-LAB, guiding innovation in neuroimaging. While specific advisees are not listed, her leadership of an independent lab suggests active student and postdoctoral training. Her future work is expected to further bridge molecular neuroscience with clinical applications, aiming to transform brain health through advanced imaging technologies.

Merlyne De Souzaمشاهده پروفایل

استاد

• Gallium Nitride (GaN) Microelectronics
• Neuromorphic Computing
• RF Power Amplifiers
• +۳ مورد دیگر

Professor Merlyne De Souza is a Chair in Microelectronics at the University of Sheffield's School of Electrical and Electronic Engineering. Her research spans multi-disciplinary microelectronics, focusing on GaN CMOS, neuromorphic computing, RF power amplifiers, and healthcare sensors. University of Sheffield (2007-) De Montfort University (2003-2007) Research Interests: GaN-based CMOS and power devices Magnetic materials for power management Memristive neuromorphic systems Perovskite solar cells Scientific Trends: Recent publications emphasize GaN device architectures, solid electrolyte transistors for neural networks, and sustainability in semiconductor materials through graphene oxide recycling and thermoelectric composites. Awards: No specific awards mentioned in the text. Advising: Supervised 7 PhD/MPhil students including Balakrishnapillai P, Casterman D, and Rasheduzzaman M. Secondary supervision of Baltynov T and Unni V.

Ivan Alekseichukمشاهده پروفایل

استادیار

• Clinical Neuroscience
• Neural Engineering
• Cognitive Neuroscience
• +۵ مورد دیگر

Dr. Ivan Alekseichuk is an Assistant Professor at Northwestern University's Feinberg School of Medicine and heads the Precision Neuromodulation Lab. His research focuses on clinical neuroscience and neural engineering to understand mental health mechanisms through closed-loop brain stimulation and imaging. PhD in Systems Neuroscience, University of Göttingen (2017) MS in Neurobiology and Psychophysiology, Saint Petersburg State University (2013) Postdoctoral Fellow, University of Minnesota (2019) His work explores causal brain-behavior relationships using non-invasive techniques like TMS/tACS, real-time neuroimaging (EEG/MRI), computational modeling, and biomedical robotics. Current clinical trials target depressive disorders, mood regulation, and memory support. Recent research trends include: Closed-loop neurostimulation systems EEG phase-dependent stimulation algorithms Primate cortical layer-specific neuromodulation Deep learning-enhanced field estimations Scientific Recognition: Travel Award, American College of Neuropsychopharmacology (2023) Pathway to Independence Award, National Institute of Mental Health (2022) Young Investigator Award, Brain & Behavior Research Foundation (2022) MnDRIVE Neuromodulation Fellowship (2018) Professional Engagements: Editorial Board Member, Brain Stimulation Journal Member, IEEE Engineering Medicine and Biology Society Member, North American Neuromodulation Society Member, Society for Neuroscience Contact: ivan.alekseichuk@northwestern.edu | Abbott Hall Suite 1300, Chicago, IL

Douglas Richardsonمشاهده پروفایل

مدرس

• Light Microscopy
• Super-resolution Microscopy
• Tissue Clearing
• +۳ مورد دیگر

Douglas Richardson serves as Director of Imaging at the Harvard Center for Biological Imaging (HCBI) since 2013 and Lecturer in Molecular and Cellular Biology within Harvard's Faculty of Arts and Sciences since 2016. He leads a state-of-the-art microscopy core facility serving Harvard and Greater Boston researchers through confocal, light sheet, super-resolution, and slide scanning systems. His educational background includes: PhD in Cancer Cell Biology from Queen's University (Canada), Department of Pathology and Molecular Medicine Alexander von Humboldt Postdoctoral Fellowship at Max Planck Institute for Biophysical Chemistry under Nobel Laureate Stefan Hell Richardson's research expertise spans super-resolution microscopy , light sheet imaging , tissue clearing techniques , and image processing methodologies . He actively develops and evaluates advanced microscopy approaches for biological applications in cancer, neuroscience, and ophthalmology. His work emphasizes practical implementation of cutting-edge imaging technologies for diverse research questions. Analysis of his recent publications reveals dominant trends in 3D tissue imaging applied to neurodegenerative diseases (Alzheimer's), cancer biology (melanoma, breast cancer), and vascular ophthalmology. His contributions to tissue clearing standardization and light sheet microscopy optimization enable high-resolution whole-organ analysis, while his technical tutorials address critical microscopy artifacts. His scientific recognition includes: Alexander von Humboldt Postdoctoral Fellowship Richardson teaches MCB 68 (Cell Biology through the Microscope) and MCB 352 (Microscopy), directs the HCBI Lunch and Learn Lecture Series, and organizes tissue clearing workshops. The HCBI facility he leads provides critical infrastructure for Harvard researchers, with recent expansions including high-content screening (2024) and Zeiss Lightfield 4D integration (2025). Under Richardson's leadership, the Harvard Center for Biological Imaging serves as a national resource for advanced microscopy training and consultation, maintaining active YouTube educational content and developing protocols for challenging biological specimens through its tissue clearing initiatives.

Bo Wangمشاهده پروفایل

دانشیار

• Systems biology of whole-body regeneration
• Cell type evolution through single-cell multiomic sequencing
• Quantitative biology of brain regeneration
• +۲ مورد دیگر

Bo Wang is an Associate Professor at Stanford University with dual appointments in the Department of Bioengineering and the Department of Developmental Biology. He is also a member of Bio-X and the Wu Tsai Neurosciences Institute. His research integrates developmental biology, bioengineering, and statistical physics to understand collective cell behaviors that optimize tissue regeneration, adaptation, and evolution. His research interests span systems biology of whole-body regeneration, cell type evolution through single-cell multiomic sequencing, quantitative biology of brain regeneration, and regeneration of animal-algal photosymbiotic systems. He has developed innovative tools like expansion spatial transcriptomics and quantitative organism-wide imaging approaches. Systems biology of regeneration Cell type evolution Neuroregeneration Photosymbiosis His recent publications focus on regeneration mechanisms in flatworms and acoels, cross-species single-cell mapping, and expansion microscopy techniques. The work has been featured in top journals like Cell , Nature Communications , and eLife . 2024 - Genetic toolkit for Macrostomum lignano regeneration 2024 - Animal-algal holobiont wound coordination 2023 - Expansion spatial transcriptomics 2022 - Planarian mRNA transfection Scientific awards include: SN10: Scientists to Watch (2020) Human Frontier Science Program Young Investigator (2019) Beckman Young Investigator (2017) Hellman Faculty Scholar (2017) Baxter Faculty Scholar (2016) Burroughs Wellcome Fund Career Award (2013) PhD students and postdocs in his lab study regeneration biology, cell type evolution, and bioengineering tools. His research has been supported by the Beckman Foundation, Burroughs Wellcome Fund, Bio-X, Bachrach Family Foundation, Baxter Foundation, Human Frontier Science Program, NIH, NSF, and Wu Tsai Neurosciences Institute.

Antonio Fernandez-Ruizمشاهده پروفایل

استادیار

• Neuroscience
• Cognitive Functions
• Hippocampal Network Dynamics
• +۴ مورد دیگر

Antonio Fernandez-Ruiz is an Assistant Professor in Neurobiology and Behavior at Cornell University's College of Arts and Sciences. His research focuses on understanding how neuronal dynamics support complex cognitive functions through hippocampal network mechanisms, with specific emphasis on memory generalization and predictive inference models. PhD, Complutense University of Madrid (2015) Postdoctoral Researcher, NYU (Buzsaki Lab) Dr. Fernandez-Ruiz's work explores the hippocampus's role in generating predictive models of the world through structured neural sequences. His research investigates how distributed brain circuits coordinate to enable memory-guided behavior, using advanced techniques like large-scale silicon probe recordings, closed-loop optogenetics, and computational modeling. His publications demonstrate expertise in hippocampal function across multiple domains: memory consolidation (2019 Science), neural coding (2020 bioRxiv), cortical interactions (2019 Neuron), and oscillatory dynamics (2017 Neuron). Articles focus on brain architecture, neural coordination, and cognitive modeling. Scialog Award NIH Award Mind Prize Sloan Fellowship Klarman Fellowship Dr. Fernandez-Ruiz operates the Brain Computation and Behavior Lab at Cornell, developing novel methodologies for studying neural circuit dynamics. His research program integrates experimental and computational approaches to address fundamental questions about memory encoding and cognitive mapping.

• Mitochondrial Diseases
• Neurodegenerative Disorders
• Neuropathology
• +۳ مورد دیگر

Nichola Lax is a Research Fellow at Newcastle University specializing in the neuropathological mechanisms of mitochondrial disorders. Her work focuses on neurological manifestations including Alpers' syndrome, epilepsy, and Lewy body dementia, with extensive collaboration with leading mitochondrial researchers such as Emeritus Professor Doug Turnbull and Professor Robert Taylor. Her research interests include: Mitochondrial Diseases Neurodegenerative Disorders Neuropathology Epilepsy mechanisms Lewy Body Dementia pathology Mitochondrial DNA mutation effects Analysis of her 2016-2023 publications reveals consistent investigation of mitochondrial dysfunction in neurodegeneration, particularly emphasizing astrocytic pathology, respiratory chain defects in specific neuronal populations (inhibitory interneurons, Purkinje cells), and seizure generation mechanisms. Her work employs advanced techniques including multiplex immunofluorescence, CLARITY tissue clearing, and in vitro seizure modeling to establish pathological correlations between mitochondrial defects and clinical phenotypes. No information was found regarding scientific awards, student advising, research grants, or laboratory infrastructure in the provided text.

Carl Petersenمشاهده پروفایل

استاد

• Neuroscience
• Sensorimotor Processing
• Neuronal Circuits
• +۴ مورد دیگر

Carl Petersen is a Full Professor and Head of the Laboratory of Sensory Processing (LSens) at the Brain Mind Institute (BMI) within the Faculty of Life Sciences (SV) at EPFL. His research focuses on understanding sensory perception and associative learning at the neuronal circuit level in mice. He has held leadership roles, including Director of the BMI (2019–2022). Education: PhD in Physiology (1996, University of Cambridge) under Sir Michael Berridge; postdoctoral training at UCSF and Max-Planck-Institute for Medical Research. Research: Investigates cortical circuits using electrophysiology, imaging, and optogenetics. Key areas include whisker-based sensory processing, cortical plasticity during reward-based learning, and the interplay between sensory input and motor output. Grants & Labs: Leads the LSens lab, collaborating on projects like the Cell-class-specific motor maps (2025) and dopamine dynamics (2024). Awards: Not explicitly listed in provided data, but he is a member of prominent committees including the Neuroscience PhD program (EDNE-GE).

Jacob Reimerمشاهده پروفایل

استادیار

• Neuroscience
• Cortical Circuits
• Brain State Dynamics
• +۵ مورد دیگر

Jacob Reimer is an Assistant Professor in the Department of Neuroscience at Baylor College of Medicine. His research focuses on understanding brain states and multimodal integration across corticothalamic circuits, particularly how attention shifts and sensory processing change dynamically without anatomical rewiring. He employs advanced techniques including in vivo whole-cell patching, multiphoton calcium imaging, optogenetics, and viral tracing methods. Reimer earned his PhD in Neuroscience from the University of Chicago (2009) and leads the Reimer Lab, which explores brain state fluctuations and functional connectomics in mice. Education: PhD in Neuroscience, University of Chicago (2009) Laboratory Focus: Cortical circuits, brain state dynamics, sensory integration Techniques: Multiphoton imaging, optogenetics, connectomic analysis Key Projects: MICrONS collaboration for mouse visual cortex connectomics His research highlights how pupil size fluctuations correlate with internal brain states and demonstrates the role of acetylcholine dynamics in modulating cortical activity. The lab has pioneered methods for dense neural activity mapping and automated connectomic analysis using tools like NEURD. Collaborations with institutions like Princeton University advance large-scale functional connectomics efforts. Advising includes mentoring graduate students (e.g., MARIO A GALDAMEZ, Noura Z Hakam) and postdoctoral researchers (e.g., Erin Neyhart, Cameron Lewis Smith). The lab's work bridges experimental neuroscience with computational modeling, contributing to both basic science and translational insights into neural circuitry.

Phillip Durhamمشاهده پروفایل

عضو هیئت علمی

• Medical Imaging
• Drug Delivery Systems
• Infectious Diseases
• +۳ مورد دیگر

Phillip Durham is a Research Assistant Professor in the Department of Biomedical Engineering at the University of North Carolina at Chapel Hill . His work focuses on advancing medical imaging and therapeutic delivery systems, particularly in overcoming biological barriers like the blood-brain barrier and biofilms. He specializes in ultrasound-based technologies, nanomedicine, and aerosol drug delivery. Research interests include ultrasound contrast agents , targeted drug delivery , and infectious disease treatments (e.g., tuberculosis, MRSA). His lab develops novel methods for noninvasive imaging and treatment of conditions like glioblastoma, liver disease, and diabetic wounds. He has pioneered phase-change nanodroplet systems and AI-driven diagnostic tools for animal models. His recent work emphasizes therapeutic ultrasound applications , including automated liver sizing algorithms and inhalable contrast agents. These innovations aim to improve treatment efficacy while reducing invasiveness. Key projects involve collaborations across engineering, medicine, and materials science disciplines. While no specific awards are listed, his research has been featured in high-impact journals and conferences, reflecting its methodological and translational significance. His work directly impacts preclinical models, with potential for clinical application in oncology, neurology, and infectious disease management.

• Neuroscience
• Systems Neuroscience
• Computational Neuroscience
• +۷ مورد دیگر

Anne Kathryn Churchland is Professor of Neurobiology at the University of California, Los Angeles David Geffen School of Medicine, where she holds the Arnold B. Scheibel, M.D. Chair for Brain Research. She leads a multidisciplinary laboratory that leverages large-scale electrophysiology, wide-field calcium imaging, and computational modeling to understand how cortical and sub-cortical circuits transform multisensory evidence into flexible decisions. Churchland co-founded and co-directs the International Brain Laboratory (IBL), a global consortium that has released the first standardized, brain-wide dataset of mouse decision-making. Her work has revealed fundamental principles such as choice-selective inhibition, category-free mixed selectivity, and the influence of spontaneous movements on cortical dynamics, while simultaneously producing open-source tools for chronic Neuropixels recordings, motion correction (DREDge), and web-based data exploration. Education: Ph.D. in Neuroscience, University of California, San Francisco, November 2003 Research Focus: Churchland’s group investigates how distributed neural populations encode and integrate sensory information across modalities, accumulate evidence over time, and generate choice. Using high-density Neuropixels probes and cortex-wide calcium imaging in head-fixed and freely moving mice, her team links trial-by-trial neural dynamics to sophisticated behavioral models. A unifying theme is the role of latent behavioral states—such as arousal, engagement, and spontaneous movement—in shaping sensory representations and decision computations. Technological & Open-Science Contributions: Beyond scientific discoveries, the lab develops and openly shares hardware (lightweight reusable Neuropixels implants), algorithms (DREDge motion correction), and data platforms (IBL Data & Atlas websites). These resources are already accelerating labs worldwide and exemplify her commitment to reproducible, collaborative neuroscience. Selected Honors: UCLA Excellence in Postdoc Mentoring Award (2024) James M. and Cathleen D. Stone Faculty Research Award, CSHL (2020) Louise Hanson Marshall Special Recognition Award, Society for Neuroscience (2017) Janett Rosenberg Trubatch Career Development Award, SfN (2012) Funding & Leadership: Churchland has served as Principal or Co-Principal Investigator on continuous NIH support since 2008, including a current U19 “State-dependent Decision-making in Brain-wide Neural Circuits” and prior R01 and K99/R00 awards. She is an active member of the NeuroAI initiative, promoting two-way interactions between neuroscience and next-generation artificial intelligence. Training Environment: The Churchland lab at UCLA provides a vibrant training ground for postdoctoral fellows and graduate students, integrating experimental design, advanced data acquisition, large-scale compute, and theoretical analysis. Trainees leave with broad expertise valued in both academic and tech sectors, as evidenced by her 2024 UCLA mentoring award.

Diego Mendoza Hallidayمشاهده پروفایل

استادیار

• Neuroscience
• Cognitive Neuroscience
• Neural Circuits
• +۳ مورد دیگر

Diego Mendoza Halliday is an Assistant Professor in the Department of Neuroscience at the University of Pittsburgh and Principal Investigator of the Mendoza-Halliday Lab. He holds affiliations with the Center for the Neural Basis of Cognition (CNBC), a joint venture between the University of Pittsburgh and Carnegie Mellon University (CMU), and is a Research Affiliate at MIT's McGovern Institute for Brain Research. Previously, he served as a Postdoctoral Fellow and Research Scientist at MIT under Dr. Robert Desimone. His education includes a Ph.D. in Cognitive Neurophysiology from McGill University (2014) and postdoctoral training at MIT. His research focuses on understanding the neural mechanisms underlying working memory manipulation, particularly how neurons and microcircuits across brain regions dynamically transform and monitor mental representations. Techniques employed include high-density laminar electrophysiology and custom optogenetic tools to study cognitive functions like attention and decision-making. Key research themes include neuronal substrates of visual attention and working memory, spectrolaminar cortical organization, and optogenetic innovation. Recent work highlights dissociable neural pathways for attention and memory and universal cortical layer-specific activity patterns. His lab's interdisciplinary approach bridges electrophysiology, optogenetics, and computational modeling to uncover foundational mechanisms of human cognition. Notable contributions include developing ultra-sensitive optogenetic opsins and revealing laminar-specific neural dynamics across primate cortex. Awards and honors are not explicitly listed in available texts, but his work has been published in top-tier journals like Neuron and Nature Neuroscience .