جست‌وجوی استاد و پژوهشگر

Quentin Pittmanمشاهده پروفایل

استاد مدعو

• Neuroscience
• Neuroimmunology
• Inflammation
• +۵ مورد دیگر

Dr. Quentin Pittman is an Adjunct Professor in the Department of Physiology and Pharmacology at the Cumming School of Medicine, University of Calgary. He also holds positions as a Child Health & Wellness Researcher at the Alberta Children's Hospital Research Institute, Full Member of the Hotchkiss Brain Institute, Deputy Chair in the Department of Physiology and Pharmacology, and Full Member of the Mathison Centre for Mental Health Research and Education. Dr. Pittman's educational background includes: B.A. in Biological Sciences, University of Lethbridge, 1972 Doctor of Philosophy in Physiology, University of Calgary, 1976 Dr. Pittman's research focuses on neuroimmune-endocrine interactions, particularly how inflammation affects brain function and behavior. His work spans four major areas: the effects of inflammation on the brain leading to behavioral co-morbidities; cellular actions of peptides, mediators and neurotransmitters; early life programming of the brain by inflammation; and febrile seizures. His laboratory employs approaches ranging from whole animal models studying physiology and behavior to cellular studies examining morphological, molecular, electrophysiological and synaptic properties. He collaborates extensively with researchers including Keith Sharkey, Mark Swain, Simon Hirota and Matt Hill to explore how chronic peripheral inflammation in animal models of colitis, arthritis and liver disease cause changes in the brain that may underlie psychiatric co-morbidity. Analysis of Dr. Pittman's recent publications (2019-2022) reveals a strong focus on the gut-brain axis, neuroinflammation, and microglial function. His work increasingly examines how the microbiome influences brain function and behavior, particularly in inflammatory conditions. There's also a significant emphasis on the endocannabinoid system's role in modulating neural circuits affected by inflammation and stress. His research bridges basic neuroscience with clinical relevance, particularly for understanding psychiatric comorbidities in inflammatory diseases and neurological conditions like epilepsy. Dr. Pittman has received numerous prestigious awards throughout his career: Fellow of the Royal Society of Canada (2010) Fellow of the Canadian Academy of Health Sciences (2016) Fellow of the American Physiological Society (2019) Distinguished Member of the International Regulatory Peptide Society (2021) Multiple teaching awards including Golden Apple Award (2008) and Honor Roll for Great Teaching (2014) University Professor designation at the University of Calgary (2006) Dr. Pittman has maintained continuous research program support from the MRC/CIHR and other agencies for nearly 40 years. His collaborative approach is evident in his extensive network of research partnerships across multiple institutes including the Hotchkiss Brain Institute and Alberta Children's Hospital Research Institute. He has held numerous leadership positions within these organizations and has served on committees for national and international scientific societies. His laboratory has produced significant findings on how early life inflammation programs long-term brain function and vulnerability to neurological conditions. Dr. Pittman's laboratory work spans multiple facilities including the Health Sciences Centre at the University of Calgary. His research team employs diverse methodologies from whole animal behavioral studies to sophisticated cellular and molecular techniques including patch clamp electrophysiology. His work on neuroimmune interactions has positioned his laboratory at the forefront of understanding how peripheral inflammation communicates with the central nervous system to influence behavior and neural function.

Shuo Chenمشاهده پروفایل

عضو هیئت علمی

• Systems Neuroscience
• Cognitive Neuroscience
• Memory
• +۶ مورد دیگر

Shuo Chen is a Research Assistant Professor in the Department of Psychiatry at New York University School of Medicine. His laboratory is affiliated with both the Emotional Brain Institute and the Nathan Kline Institute for Psychiatric Research (NKI), with physical location at NKI in Orangeburg, NY. Dr. Chen leads a research team focused on understanding the neural mechanisms of memory and developing innovative technologies for neuroscience research. Dr. Chen's research spans several interconnected areas including systems and cognitive neuroscience, memory processes, Alzheimer's disease, and technical development of novel neuroscience tools. His laboratory employs an integrative approach combining electrophysiology, imaging, behavior, genetic manipulations, omics, and computational modeling to investigate how memory is encoded, retained, and retrieved within neural networks and molecules in the brain. His publication record demonstrates expertise across multiple disciplines, with recent work focusing on neural circuit mechanisms of memory, Alzheimer's disease pathology, and the development of near-infrared optogenetic technologies. His research has been published in high-impact journals including Nature, Science, and Nature Neuroscience. Systems & Cognitive Neuroscience Memory Encoding and Consolidation Alzheimer's Disease Mechanisms Optogenetics and Neural Engineering Brain-Machine Interfaces Dr. Chen actively mentors a diverse team of researchers at various levels, including undergraduate students, Master's students, and visiting scholars. His laboratory is currently recruiting at all levels, reflecting an active and growing research program focused on unraveling fundamental mysteries of brain function and developing novel approaches to treat brain disorders.

Anton Dvorzhakمشاهده پروفایل

پژوهشگر

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

Dr. Anton Dvorzhak is a neuroscience researcher at the Institute of Neurophysiology, Faculty of Medicine, Charité - Universitätsmedizin Berlin, actively contributing to Collaborative Research Center 1315 (SFB 1315). His work focuses on the neural mechanisms underlying memory formation, synaptic plasticity, and social behavior, particularly examining hippocampal neuron dynamics and periaqueductal gray function. His research interests center on hippocampal oscillations during memory processes , synaptic transmission mechanisms , and the neurobiological basis of social play behavior . Using advanced techniques including 2-photon imaging, optogenetics, and electron microscopy, his work bridges cellular neuroscience with behavioral outcomes, particularly investigating how neurotransmitter systems like glycine regulate age-dependent changes in play behavior. Analysis of his recent publications reveals a strong focus on subcortical mechanisms of social behavior , with particular emphasis on the periaqueductal gray's role in play and tickling responses. His work demonstrates how specific neural columns within this region map to distinct behavioral responses, and how glycine modulation can reverse age-related declines in social play. His cellular neuroscience work shows how synaptic ultrastructure rapidly remodels during presynaptic potentiation, providing structural correlates for functional changes in synaptic strength.

Luke Evansمشاهده پروفایل

استادیار

• Statistical Genetics
• Quantitative Genetics
• Genetic Architecture
• +۶ مورد دیگر

Luke Evans serves as an Assistant Professor at the University of Colorado Boulder, holding dual appointments in the Department of Ecology and Evolutionary Biology and the Institute for Behavioral Genetics. His research integrates quantitative and statistical genetics to investigate the genetic architecture of complex traits, with particular emphasis on aging, psychiatric disorders, and substance use behaviors. Dr. Evans completed his Ph.D. at Northern Arizona University in 2012. His research program focuses on developing and applying methods for estimating heritability and investigating the genomic architecture of complex traits. He has made significant contributions to understanding the genetic basis of psychiatric disorders, particularly through examining gene-gene interactions and tissue-specific contributions to heritability. Analysis of Dr. Evans' recent publications reveals a strong focus on psychiatric genetics, particularly the genetic architecture of internalizing disorders and their relationship with substance use. His work frequently employs advanced genomic structural equation modeling and gene-gene interaction analyses to dissect complex trait architecture. A notable trend in his recent work involves applying these methods to understand aging-related traits and neurological conditions like Alzheimer's disease. Dr. Evans serves as Principal Investigator on the Hevolution/AFAR New Investigator Award grant titled 'Gene-gene interaction associations with frailty to identify core genes of aging and their biological context' and as Co-Investigator on multiple NIH-funded projects including studies on addiction genetics, psychiatric disorders, and cognitive aging. He is actively recruiting graduate students for fall 2026 and postdoctoral researchers for his lab. The Evans Lab employs quantitative and statistical genetics approaches to investigate the genetic architecture of complex traits, with particular emphasis on aging, psychiatric disorders, and substance use behaviors. The lab collaborates extensively with researchers across multiple institutions and disciplines, contributing to large-scale genomic studies and developing novel analytical methods for understanding complex trait architecture.

• Toxicology
• Liver Research
• Bile Acid Metabolism
• +۴ مورد دیگر

Dr. Maiju Myllys is a Scientific Associate in the Intravital Toxicology department at the Leibniz Research Centre for Working Environment and Human Factors in Dortmund, Germany. She works under the leadership of Prof. Dr. Jan G. Hengstler, Head of Department, and maintains an active research position with contact information listed as myllys@ifado.de and +49 231 1084-216. Her research focuses on liver toxicology, bile acid metabolism, and drug-induced liver injury using advanced intravital imaging techniques. Dr. Myllys's primary research interests center on liver-kidney axis interactions , species differences in drug metabolism , and mechanisms of hepatotoxicity . Her work integrates intravital imaging with biochemical analysis to understand the spatio-temporal dynamics of toxins in living organisms. She has made significant contributions to understanding bile acid transport mechanisms, acetaminophen toxicity pathways, ochratoxin A metabolism, and liver fibrosis development. Her research methodology emphasizes real-time observation of toxic processes in vivo, providing insights that traditional in vitro methods cannot capture. Analysis of Dr. Myllys's publication record from 2019-2025 reveals a strong focus on translational toxicology with emphasis on interspecies differences, liver-kidney interactions, and advanced imaging techniques. Her work frequently involves multi-institutional collaborations, as evidenced by her numerous co-authored publications. Key research themes include the development of fluorescent probes for real-time bile acid tracking, investigation of albumin's role in toxin distribution, and exploration of compensatory mechanisms in liver disease. Her 2025 publication on liver macrophages and synthetic mRNA translation represents cutting-edge work at the intersection of nanomedicine and toxicology. Dr. Myllys is an integral member of the Intravital Toxicology team led by Prof. Hengstler, contributing to a research environment that bridges basic science with potential clinical applications. The team's work has significant implications for pharmaceutical development, risk assessment of environmental toxins, and understanding mechanisms of drug-induced organ damage. Her research on bile acid transporters has direct relevance to treating cholestatic liver diseases, while her investigations into species differences help improve translation of preclinical findings to human applications.

Fabian Schönfeldمشاهده پروفایل

پژوهشگر ارشد

• Theoretical neuroscience
• Computational neuroscience
• Machine learning
• +۵ مورد دیگر

Dr. Fabian Schönfeld is a postdoctoral researcher at the Institute of Neural Computation (INI), which is part of the Faculty of Computer Science at Ruhr-Universität Bochum. He works in the Theory of Neural Systems group, focusing on computational modeling of the hippocampus using Slow Feature Analysis and other machine learning techniques. His educational background includes: Diploma in Computer Science from FAU Erlangen (2004-2009) PhD in Neuroscience from the International Graduate School of Neuroscience (2010-2016) Dr. Schönfeld's research primarily focuses on theoretical neuroscience, particularly on modeling the hippocampus and spatial cognition. His work combines computational approaches with neuroscience to understand how the brain processes spatial information. He has extensively used Slow Feature Analysis to model place cell behavior in the rat hippocampus, arguing for its feasibility as a fundamental principle of cognitive data processing. His research interests also extend to deep learning, artificial intelligence, and the intersection of these fields with neuroscience. His publications demonstrate a consistent focus on hippocampal function and spatial representation, with an increasing sophistication in modeling approaches over time. The research shows how computational models can help understand neural mechanisms of spatial representation, navigation, and memory formation, with applications in both neuroscience and artificial intelligence. Dr. Schönfeld has supervised several bachelor's theses on topics related to robot navigation using Slow Feature Analysis and has taught courses on Scientific Computing with Python. His academic service includes: Supervising bachelor's theses (2012-2013) Teaching Scientific Computing with Python (2015-2017) Tutoring high school students in mathematics and physics (2007-2010)

Sandhiya Vijayabaskaranمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• Reinforcement Learning
• Spatial Navigation
• +۳ مورد دیگر

Dr. Sandhiya Vijayabaskaran is a researcher at the Institute of Neuroinformatics (INI), Faculty of Computer Science, Ruhr University Bochum, Germany. Her work employs computational methods to understand spatial navigation and neural representations. Education M.Sc. in Computational Engineering, Ruhr-Universität Bochum (Thesis: "Transfer of learned associations in a reinforcement learning context") B.E. in Mechanical Engineering, M.S Ramaiah Institute of Technology, India Research Interests Her primary research focuses on computational neuroscience and reinforcement learning. She investigates how artificial agents develop spatial representations during navigation tasks, emphasizing relationships between artificial neural networks and biological systems (e.g., hippocampal place cells). This bridges AI and neuroscience to model cognitive processes underlying spatial behavior. Publication Trends Her 2019-2025 publications consistently explore spatial navigation via reinforcement learning. Key contributions include mammalian navigation taxonomies, neuroscience simulation frameworks (CoBeL-RL), and egocentric/allocentric representation emergence. These studies advance computational principles of spatial cognition with direct relevance to hippocampal function. Advising and Affiliation Dr. Vijayabaskaran has supervised Master's theses, including Al-Dilaimi's 2021 work on egocentric navigation representations. She is integral to the INI research group, which integrates experimental psychology, neurophysiology, and machine learning to study cognition and develop artificial cognitive systems.

• Computational Neuroscience
• Spatial Navigation
• Neural Modeling
• +۳ مورد دیگر

Dr. Behnam Ghazinouri is a Computational Neuroscientist at the Institute of Neuroinformatics (INI), Faculty of Computer Science, Ruhr University Bochum. His research centers on modeling spatial navigation and memory mechanisms using spiking neural networks, with emphasis on hippocampal place cells and grid cells in both healthy and pathological conditions. Originally trained in physics, he transitioned to computational neuroscience for his doctoral work. His interdisciplinary background bridges theoretical physics, neuroscience, and machine learning to develop biologically plausible neural models. His primary research focuses on computational modeling of spatial navigation systems, neural mechanisms of spatial memory formation, spiking neural network simulations of hippocampal function, and pathological impacts of neurological disorders (Alzheimer's, Parkinson's) on spatial cognition. He investigates how place/grid cell degradation affects navigation behavior and develops models to simulate disease progression. Recent publications (2024-2025) demonstrate consistent focus on spatial coding efficiency, mammalian navigation taxonomy, and grid cell functionality through computational modeling. These works integrate closed-loop simulations with neurobiological principles to analyze neural coding efficiency and behavioral outcomes in spatial tasks. Dr. Ghazinouri has supervised Master's theses including grid cell property research in spatial navigation. His work operates within the INI's interdisciplinary framework that combines neurophysiology, machine learning, and robotics to advance cognitive systems research.

Richard Goodmanمشاهده پروفایل

استاد

• Gene Expression Regulation
• Transcription Factors
• Molecular Biology
• +۳ مورد دیگر

Richard Goodman is a Professor of Cell, Developmental and Cancer Biology and Biochemistry and Molecular Biology at Oregon Health & Science University, serving as a senior scientist at the Vollum Institute where he directed from 1990 to 2016. His research bridges molecular biology and neuroscience with focus on metabolic regulation of gene expression. His educational background includes: B.S. in Chemistry, Massachusetts Institute of Technology (1970) M.D., University of Pennsylvania (1976) Ph.D., University of Pennsylvania (1976) Dr. Goodman pioneered the characterization of the cAMP regulated enhancer (CRE) and identification of the CREB coactivator CBP. His lab conducts genome-wide analyses of transcription factor binding and investigates microRNA roles in neuronal plasticity, circadian rhythms, and metabolic regulation. Current work emphasizes activity-regulated genes and metabolic pathways in neuronal function. Analysis of his publication record reveals consistent innovation in molecular tools and conceptual advances. His lab developed fluorescent biosensors for metabolites like NAD+ and fructose-1,6-bisphosphate, enabling real-time metabolic imaging in neurons. Research spans from transcriptional mechanisms to in vivo synaptic plasticity, with microRNA regulation emerging as a unifying theme across neuronal development, circadian adaptation, and neurodegeneration. His scientific recognition includes: National Academy of Sciences, elected member (2002) Institute of Medicine, elected member (2005) Scientific Review Board, Howard Hughes Medical Institute (2008-2011) Dr. Goodman has mentored 14 graduate students and 29 fellows, many becoming independent investigators. His research is supported by sustained NIH funding for studies on transcriptional regulation, metabolic neuroscience, and microRNA mechanisms. Current grants focus on neuronal metabolism and activity-dependent gene expression. As a senior scientist at the Vollum Institute, he leads a multidisciplinary team developing cutting-edge metabolic imaging tools. His lab collaborates extensively across neuroscience and molecular biology departments, with ongoing projects examining glycolytic dynamics in neural circuits and microRNA-mediated regulation of synaptic function.

An Zhouمشاهده پروفایل

استاد

• Neuroprotection
• Epigenetics
• Proteomics
• +۱ مورد دیگر

Dr. An Zhou is a Professor in the Department of Neurobiology at Morehouse School of Medicine, where he leads research on molecular mechanisms of neuroprotection in stroke and brain ischemia. His work integrates epigenetics, proteomics, and bioinformatics to identify endogenous protective pathways for therapeutic development. Dr. Zhou's academic training includes: Bachelor of Science, Beijing Normal University Master of Science, Beijing Normal University Doctor of Philosophy, Copenhagen University Postdoctoral Fellowship, Johns Hopkins University His research focuses on Neuroprotection, Epigenetics, Proteomics, and Bioinformatics, specifically investigating Polycomb group proteins in ischemic tolerance, nascent proteomics for stroke biomarker discovery, and transcriptional regulation of ion channels in brain ischemia. He employs advanced molecular and computational techniques to bridge basic neuroscience with clinical stroke applications. Analysis of his publication record (2010-2020) reveals consistent emphasis on epigenetic regulation and proteomic dynamics in stroke models, with progressive exploration of TrxG proteins and prohormone convertases. This trajectory demonstrates evolution from fundamental molecular mechanisms toward translational biomarker discovery and therapeutic targeting. Dr. Zhou's scientific recognition includes: 2010-2011: GRF Shaffer Fund Grant (PI) for retinal neuroprotection mechanisms 2011-2014: NIH/NINDS R21 (PI) on proteomic reconfiguration in neuroprotection 2012-2017: NIH/NINDS R01 (PI) on Polycomb proteins in ischemic tolerance 2013-2018: NIH/NINDS U54 Subproject (Co-Investigator) for ASIC1A signaling 2013-2020: NIH/NINDS U54 (Co-Director) for MSM SNRP program 2017-2020: AHA Grant (PI) on TrxG proteins in neuronal excitability He has secured continuous NIH and AHA funding as Principal Investigator while contributing institutionally as Co-Director of the Molecular and Cell Biology Core for the MSM SNRP program, supporting neuroscience training and collaborative infrastructure. His laboratory operates in the Multidisciplinary Research Center (Room 239), utilizing molecular, proteomic, and bioinformatic approaches within MSM's Neuroscience Institute framework to advance stroke pathophysiology research and therapeutic development.

• Memory Capacity
• Temporal Memory-Linking
• Sleep and Memory
• +۱۰ مورد دیگر

Denise Cai, PhD serves as an Associate Professor in the Department of Neuroscience at the Icahn School of Medicine at Mount Sinai, where she leads a research program investigating the fundamental mechanisms of memory formation and storage. Her laboratory employs a multi-level approach integrating molecular, cellular, circuit-level, and behavioral techniques to explore how the brain optimizes its memory capacity and links memories across time. PhD, University of California, San Diego Dr. Cai's research addresses profound questions about whether our brains will eventually 'max out' on memory storage capacity and how memory processes change with age. Her lab specializes in three primary research themes: memory capacity optimization strategies, temporal memory-linking mechanisms, and the role of sleep in memory consolidation. She utilizes advanced techniques including optogenetics, chemogenetics, in vivo imaging, and activity-dependent tagging to investigate hippocampal function, age-related cognitive deficits, and anxiety-related disorders. Her laboratory is particularly noted for developing open-source tools that advance neuroscience methodology while fostering collaborative research communities. Analysis of Dr. Cai's recent publications reveals a strong focus on developing innovative neuroimaging technologies and understanding molecular mechanisms underlying complex behaviors. Her work bridges computational approaches with experimental neuroscience to address fundamental questions about memory dynamics. 2023 Friedman Brain Institute Scholar Award 2022 American College of Neuropsychopharmacology Member 2021 Irma T. Hirschl/Monique Weill-Caulier Research Award 2019 NIH Director's New Innovator Award (DP2) 2019 NIMH Research Grant (R01) Dr. Cai has secured substantial research funding including the prestigious NIH Director's New Innovator Award and NIMH R01 grant, supporting her innovative research program. She serves as an educator at Mount Sinai, having received the 2018 Outstanding Teaching Award, and actively mentors students and postdoctoral researchers in her laboratory. Her laboratory maintains multiple facilities at the Hess CSM Building (10th Floor Room 116, 10th Floor Room 301, and 9th Floor Room 23) at 1470 Madison Avenue, equipped for advanced neuroscience research. Dr. Cai's commitment to the open-source movement has led to the development of valuable shared resources for the neuroscience community, including software tools for calcium imaging analysis and miniscope technology.