جست‌وجوی استاد و پژوهشگر

• Cancer
• Translational Research
• Molecular Biology
• +۷ مورد دیگر

Sonia Yip is a Senior Research Fellow and Translational Research Lead of Oncology at the NHMRC Clinical Trials Centre within the Sydney Medical School , University of Sydney. With a PhD in molecular biology focused on signal transduction pathways in breast cancer and CML, she has over 10 years of experience in oncology clinical trials (PhI-III) and translational research across academia, industry, and public health sectors in the UK and Australia. She has held leadership roles in establishing the SE London Cancer Research Network and managing a preclinical research group at a multinational pharmaceutical company. Her research focuses on translational oncology , particularly in solid tumors , biomarker development , and immune-related adverse events . She co-leads the national AUTO-CHECK initiative investigating molecular determinants of autoimmune complications in cancer patients treated with checkpoint inhibitors and contributes to the Cancer Australia-funded Genomics Cancer Clinical Trials Initiative (GCCTI) . Her work bridges molecular biology and clinical trial design, with a strong emphasis on precision medicine and personalized cancer therapy . Yip's recent publications (2025–2021) span colorectal cancer , prostate cancer , gliomas , and mesothelioma , reflecting her expertise in multinational clinical trials and biomarker integration . She supervises the Biomarkers module in the University of Sydney's Master of Clinical Trials program and collaborates with national cancer cooperative groups and research laboratories. Key grants include funding for the LUMOS-2 glioma umbrella trial (2022), the IWOT lower-grade glioma study (2020), and the AUTO-CHECK project (2017). Her scientific contributions are concentrated on translational research methodologies , biomarker validation , and innovative clinical trial design in oncology.

• Neuroscience
• Memory
• Emotional Development
• +۳ مورد دیگر

Bénédicte AMILHON is a Professor at the Université de Montréal's Faculty of Medicine , Department of Neurosciences. Her research focuses on neural circuits linking emotional behavior and memory, particularly the interaction between emotions and memory formation via raphe-hippocampal pathways. She combines electrophysiology, optogenetics, and calcium imaging to study serotonergic modulation of hippocampal rhythms and anxiety. Education: PhD in Neuroscience (Université Pierre et Marie Curie Paris VI, 2009) Postdoctoral training at McGill University (2009-2017) Affiliations: Membre du Centre de recherche Azrieli du CHU Sainte-Justine Research grants from FRQS, NARSAD, and the Canadian Institutes of Health Research (CIHR) Her work has uncovered roles for serotonergic inputs in anxiety modulation and hippocampal theta rhythms. Key awards include the FRQS Junior 1 and NARSAD Young Investigator Award. She teaches courses in cellular/molecular neuroscience and supervises students in master's and doctoral programs. Current projects investigate neural circuits linking emotion and memory, including grants on raphe-hippocampus pathways (2020-2027) and curved electrode technologies for brain recordings (2023-2026). Labs/Teams: Amilhon Lab (specializing in optogenetics and circuit dissection) Part of the Azrieli Centre's interdisciplinary teams Grants: CIHR Project Grant (2018-2027) FRQS Junior 2 Award (2023-2026)

Hillel Chielمشاهده پروفایل

استاد

• Neural Networks
• Electrophysiology
• Biomechanics
• +۷ مورد دیگر

Hillel Chiel is a Professor at Case Western Reserve University with joint appointments in the Department of Biology (College of Arts and Sciences), Department of Neurosciences (School of Medicine), Department of Biomedical Engineering (Case School of Engineering), and the Neural Engineering Center. His office is located in DeGrace Hall Room 304. Dr. Chiel leads a research laboratory focused on understanding how the brain and body generate adaptive behavior through neurophysiology, computational modeling, biomechanics, and robotics. Key research areas include: Neural control of feeding in Aplysia californica using MRI and 3D modeling Biologically-inspired robotic systems mimicking animal mechanics Wireless neural recording/stimulation techniques Infrared neural inhibition and thermal modulation of neural activity Neuromechanics of multifunctional behaviors His recent publications (2019-2021) demonstrate strong interdisciplinary focus on: computational neuroscience, infrared neural modulation techniques, biomechanics of invertebrate feeding systems, biomimetic robotics, and neuroprosthetic applications. Research consistently integrates experimental neurobiology with engineering principles.

• Neuroscience
• Neurophysiology
• Biophysics
• +۳ مورد دیگر

Dejan Zecevic is a Senior Research Scientist at the Department of Cellular and Molecular Physiology, Yale University School of Medicine. He holds a PhD in Biophysics from the University of Belgrade (1981) and trained under Dr. Lawrence Cohen, a pioneer of voltage-sensitive dye recording. His research focuses on intracellular voltage-sensitive dye imaging, a cutting-edge technology for studying electrical signaling in axons, dendrites, and dendritic spines. Key research interests include action potentials, synaptic integration, and membrane potential dynamics in neuronal structures. Education: PhD in Biophysics, University of Belgrade, Serbia (1981) Research Interests: Zecevic’s work centers on understanding electrophysiological properties of dendritic spines and axons using advanced imaging techniques. He developed voltage-sensitive dye methods to visualize submillisecond membrane potential changes, enabling studies of synaptic signal integration and action potential propagation. His contributions include insights into spine head electrical coupling, axonal conduction mechanisms, and stochastic aspects of dendritic signaling. Key Research Trends: Recent publications highlight his focus on holographic illumination for spine imaging, stochastic backpropagation in dendrites, and leak-resistant axonal conduction. Techniques like computer-generated holography and combined optical methods (voltage + calcium imaging) are central to his work, advancing neurophotonics and systems neuroscience. Labs/Teams: Zecevic collaborates with the Yale Neuroscience community, particularly within the Cellular & Molecular Physiology department. His lab integrates biophysics, optics, and electrophysiology to explore fundamental neuronal mechanisms.

• Biology
• Cell Biology
• Molecular Biology
• +۷ مورد دیگر

Paolo Macchi is a Full Professor at the University of Trento, holding roles in the Department of Cellular, Computational and Integrative Biology (CIBIO) and the Centre for Medical Sciences (CISMED). He serves as Director of CIBIO and Rector's delegate for Disability Support, and is a member of the University Council. His expertise spans cell biology, molecular biology, neurobiology, and RNA biology, with a focus on RNA localization, translation regulation, and systems biology approaches. He teaches Biologia generale e molecolare , covering cellular structures, molecular mechanisms, and genomic processes. Research highlights include studies on RNA-binding proteins (e.g., RALY, HuD) and their roles in neuronal function, as well as interdisciplinary work on bio-hybrid systems (e.g., TiO2 films, memristive devices) interfacing neurons with materials. His work integrates molecular biology, genomics, and engineering to explore neural mechanisms, cancer biology, and developmental processes. Publications span RNA regulation in telomere dynamics, neuronal excitability, and artificial cell systems. He has developed cell-free systems and functionalized biomaterials for biomedical applications. Collaborative projects include memristive devices for neuromorphic modeling and lipidomics analysis under stress conditions.

• Neuroscience
• Neurobiology
• Sensory Systems
• +۳ مورد دیگر

Gizem Sancer is a Postdoctoral Associate in Neuroscience at the Yale School of Medicine, Yale University. Her research focuses on understanding neural circuits underlying sensory processing in Drosophila, particularly visual navigation and olfactory systems. She investigates how neurons process skylight polarization for orientation and odor tracking, combining experimental and computational approaches. Key research areas include the development of thalamic organoids to model human brain structures and the functional architecture of visual systems. Her work bridges neurobiology, developmental biology, and systems neuroscience, with a focus on interdisciplinary methods like connectomics and organoid engineering. Recent publications highlight advancements in mapping neuronal wiring diagrams, analyzing olfactory sensory neuron dynamics, and generating thalamic organoids. Collaborators include prominent neuroscientists such as Ferdi Kiral, In-Hyun Park, and James Jeanne. No awards are explicitly listed, but her contributions span multiple high-impact journals including Nature and Cell Stem Cell.

• Robot Vision
• Robot Learning
• Computer Vision
• +۵ مورد دیگر

Joni Kämäräinen is a Professor of Signal Processing at Tampere University’s Computing Sciences department under the Faculty of Information Technology and Communication Sciences. He leads the Vision Group and has a tenure-track career at Tampere University since 2012, achieving full professorship in 2020. Prior, he conducted postdoctoral research at the University of Surrey’s Center of Vision, Speech and Signal Processing and held a faculty position at LUT University. His research spans robot vision and robot learning , focusing on computer vision and machine learning applications. Key applied projects address industrial collaboration with Huawei, Nokia Technologies, and others, emphasizing robust visual perception, autonomous systems, and depth sensor integration. Notable work includes long-term visual place recognition, RGB-D tracking, and color constancy solutions. Recent publications (2023–2025) reflect expertise in digital twins for industrial manipulators, probabilistic subgoal modeling, depth-aware video deblurring, and LiDAR-place recognition datasets. His team’s outputs bridge robotics, AI, and signal processing, with interdisciplinary impacts in healthcare and autonomous navigation. Teaching responsibilities include graduate and doctoral colloquia, and the textbook Koneoppimisen perusteet (2023) . Funding sources include the Academy of Finland, EU Horizon 2020, Business Finland, Huawei, and Nokia Technologies.

Ari Berkowitzمشاهده پروفایل

استاد

• Behavioral Neurobiology
• Spinal Cord Physiology
• Motor Control
• +۳ مورد دیگر

Ari Berkowitz is a Presidential Professor and Director of Graduate Studies for biology programs at the University of Oklahoma's School of Biological Sciences. He also directs the Cellular & Behavioral Neurobiology Graduate Program. His research focuses on how the nervous system selects and generates appropriate behaviors, using the turtle spinal cord as a model to study rhythmic limb movements like scratching and swimming. Education: Ph.D., Neurosciences, Washington University (1993) A.B., Chemistry, University of Chicago (1984) Research Interests: Berkowitz investigates spinal cord networks controlling limb movements in turtles, focusing on how multifunctional and specialized neurons coordinate behaviors. His work reveals shared and distinct neural circuits for swimming, scratching, and flexion reflexes. Awards & Grants: President's Associates Presidential Professorship (2015-present) Multiple NSF and Oklahoma Center awards for spinal interneuron research Capranica Foundation Award in Neuroethology (1995) Teaching: Teaches courses like Behavioral Neurobiology, Human Physiology, and Diversity of Biological Sex Characteristics. Engages in outreach through neuroscience demonstrations at museums. Labs/Teams: Leads the Berkowitz Lab, focusing on spinal cord neural circuitry and motor behavior control.

Dora Hermes Millerمشاهده پروفایل

دانشیار

• Neuroscience
• Biomedical Engineering
• Neurology
• +۷ مورد دیگر

Dora Hermes Miller is an Associate Professor of Biomedical Engineering and holds Senior Associate Consultant II-Research roles in the Departments of Physiology & Biomedical Engineering, Radiology, and Neurology at Mayo Clinic. Her research focuses on human systems neuroscience, integrating multimodal imaging and computational modeling to understand neural signals in neurological and neuropsychiatric diseases. She collaborates with clinicians to develop therapeutic neuromodulation technologies and neuroprosthetics. Education includes a PhD from Utrecht University (Brain Center Rudolf Magnus) and postdoctoral fellowships at Stanford University, New York University, and UMC Utrecht. Her work emphasizes reproducible research practices, with contributions to neuroimaging standards like BIDS-iEEG and open source tools for electrode localization. Research interests span multimodal imaging integration, network dynamics via electrical stimulation, neural oscillations, and translational applications of brain-machine interfaces. Her lab explores how electrical stimulation modulates human connectomes, with implications for epilepsy treatment and psychiatric conditions. Collaborative efforts bridge clinical neurology, neurosurgery, and computational neuroscience. Awards and recognitions are not explicitly listed in the provided text. Her work has advanced understanding of somatotopic motor representations, limbic circuit modulation, and cortical stimulation effects, with over 70 peer-reviewed publications in journals like NeuroImage and Brain. Current projects include developing closed-loop neuromodulation systems, optimizing ECoG/MEG-fMRI integration, and advancing ethical brain-computer interface applications. She leads the Mayo Clinic NeuroEngineering Lab and participates in collaborative initiatives to standardize neuroelectrophysiological data sharing.

• Systems Neuroscience
• Sensorimotor Control
• Neuroethology
• +۵ مورد دیگر

Professor Holger G Krapp is a Professor of Systems Neuroscience in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He holds affiliations with the Centre for Neurotechnology, Neuromuscular Rehabilitation Technology Network, and Robotics Forum. His research focuses on sensorimotor control mechanisms in insects, particularly blowflies, integrating neurobiology with engineering principles. Key areas include visual processing, flight dynamics, and biohybrid robotics. Education: Earned a Diploma in Biology (Neurobiology) from the University of Tübingen (1992) and a Dr. rer. nat. (PhD) from the Max-Planck Institute for Biological Cybernetics (1995). Postdoctoral research included work at Caltech and Bielefeld University before joining Imperial College as a Senior Lecturer in 2005. Research interests emphasize how insects process visual and sensory information to control movement, with applications in robotics and neurotechnology. Recent work explores optic flow processing, closed-loop control systems, and biohybrid interfaces for real-time behavioral analysis. His publications highlight innovative methodologies like high-speed X-ray imaging and neural recording platforms to study flight motor mechanics and neurophysiological responses. Publications span 25+ years, demonstrating sustained contribution to understanding multisensory integration, neuronal adaptation, and energy-efficient neural coding. Active in interdisciplinary collaboration, his work bridges neuroscience, engineering, and robotics to advance biomimetic technologies and biological system analysis.

Martha U. Gilletteمشاهده پروفایل

استاد

• Neuroscience
• Cell Biology
• Developmental Biology
• +۶ مورد دیگر

Martha U. Gillette holds the title of Alumni Professor of Cell & Developmental Biology and is also a Professor of Molecular & Integrative Physiology at the University of Illinois Urbana-Champaign. She is affiliated with multiple institutes including the Beckman Institute, Institute for Genomic Biology, and Carle Illinois College of Medicine. Her research focuses on the neurobiology of circadian rhythms, neuronal development, and neuroengineering solutions for neural repair. Gillette earned her B.A. from Grinnell College, M.S. from the University of Hawaii, Ph.D. from the University of Toronto, and postdoctoral training at UC Santa Cruz. Her research interests include circadian clock regulation, neuronal cytoskeleton dynamics, and engineering microenvironments for neural growth. Major projects include studying how circadian rhythms influence organ function, developing bioengineered systems to guide vascular and neural network formation, and analyzing neuropeptide signaling in health and disease. She leads the Clockworks Lab, a multidisciplinary team advancing neurotechnology and regenerative medicine. Grants: NSF BRAIN EAGER (2014-2017) NIH BRAIN Innovation Award (2015-2018) NSF Science & Technology Center CBET-0939511 (2010-2020) Awards: Women in Neuroscience Lifetime Achievement Award AAAS Fellow Beckman Institute’s 2021 Vision and Spirit Award Gillette’s work bridges basic science and translational applications, addressing neural degeneration, sleep disorders, and tissue regeneration. She directs the Neuroscience Graduate Program and collaborates across disciplines to advance circadian biology and neuroengineering.

• Prion Diseases
• Neurodegenerative Diseases
• Molecular Neuroscience
• +۳ مورد دیگر

Jordi Torres Durall is a Researcher at the Institute for Bioengineering of Catalonia (IBEC) within the Molecular Bionics research group, focusing on molecular mechanisms of neurodegenerative disorders with emphasis on prion diseases and their intersections with proteinopathies like Alzheimer's disease. Research Focus: His work centers on cellular prion protein (PrPC) functions, miRNA dysregulation in Creutzfeldt-Jakob disease, and cross-pathology interactions between prion disorders and Alzheimer's disease. Key methodologies include transgenic mouse models (APP/PS1), neurocellular assays (Neuro2a), and molecular profiling of protein aggregation pathways. His investigations reveal PrPC's role in modulating amyloid-beta deposition and EGFR signaling, alongside discovery of subtype-specific miRNA signatures as potential neurodegenerative biomarkers. Publication Trends: Analysis of his 2013-2018 publications shows consistent focus on molecular characterization of prion disease mechanisms, with increasing translational emphasis on biomarker discovery and public health implications. His collaborative work spans European research networks, addressing both fundamental mechanisms (protein misfolding, RNA regulation) and applied concerns like food chain safety from prion transmission risks. Research Environment: As core member of IBEC's Molecular Bionics group, Torres Durall contributes to a multidisciplinary ecosystem integrating bioengineering approaches with neuroscience to develop diagnostic tools and therapeutic strategies for neurodegenerative conditions, leveraging IBEC's advanced core facilities and hospital partnerships.

Shusen Puمشاهده پروفایل

استادیار

• Computational Neuroscience
• Mathematical Biology
• Mathematical Statistics
• +۷ مورد دیگر

Dr. Shusen Pu is an Assistant Professor in the Department of Mathematics and Statistics at the University of West Florida (UWF) , within the Hal Marcus College of Science and Engineering . He joined UWF in 2022 after serving as a Lecturer at Vanderbilt University. His academic journey includes a Ph.D. in Applied Mathematics from Case Western Reserve University (2020), advised by Dr. Peter J. Thomas, and postdoctoral research with Dr. Christos Constantinidis. Dr. Pu's educational background includes: Ph.D. in Applied Mathematics, Case Western Reserve University B.S. in Mathematics and Statistics, Beijing Normal University His research spans computational neuroscience , mathematical statistics , data analytics , and deep learning . He investigates neural network models, working memory, stochastic processes in biological systems, and generalized statistical distributions. He collaborates with biologists to analyze experimental data and integrates deep learning into neuroscience applications. His work aims to bridge microscopic neural activities with macroscopic behaviors. His recent publications (2024–2018) reflect a strong focus on both neuroscience modeling and statistical distribution theory . Articles in journals like Nature Communications , Entropy , and Biological Cybernetics demonstrate expertise in prefrontal neuronal dynamics, neural noise modeling, and novel distribution generators. The consistency in topics indicates a dual research thrust: understanding brain function through computational models and advancing statistical tools for real-world data analysis. Scientific contributions include: Published in high-impact journals such as Nature Communications , Neural Computation , Eneuro , and Biological Cybernetics Reviewer for multidisciplinary journals including iScience (Cell Press) Active participant and presenter at international conferences in Canada, China, and the USA Organizer of academic conference sessions and workshops Dr. Pu is deeply involved in academic mentoring and teaching. He advises students in capstone projects integrating mathematical modeling, data science, and statistical analysis. He teaches courses such as Analytic Geometry and Calculus, Linear Algebra, Deep Learning, and Mathematical Statistics. He emphasizes problem-solving methodology, collaborative learning, and real-world applications. He leads the Computational Statistics and Data Analytics (CSDA) Lab , hosting weekly lab meetings and Python/data science tutorials, fostering a collaborative research environment. His lab and team activities include: Weekly lab meetings (Fridays 9:00–10:00, Building 4, Room 212) Weekly Python and Data Science Tutorials (Fridays 10:00–11:00, same location) Supervision of capstone projects in data science and mathematical modeling Active research in neural connectivity inference and statistical distribution development

Joergen Kornfeldمشاهده پروفایل

استاد پژوهشی

• Connectomics
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Dr. Joergen Kornfeld is a Research Group Leader at the MRC Laboratory of Molecular Biology in Cambridge, UK, where he leads the 'Connectomics of learned behaviour' group. He also maintains a connection with the Max Planck Institute for Biological Intelligence as a Guest Scientist. Previously, he was a Group Leader at the Max Planck Institute of Neurobiology in Martinsried, Germany (2021-2024). Dr. Kornfeld received his PhD in Biology (summa cum laude) from the Max Planck Institutes of Medical Research and Neurobiology, with research stays at NYU. He completed his Master's in Computational Biology and Bioinformatics at ETH Zurich and his Bachelor's in Molecular Cell Biology at Heidelberg University. Dr. Kornfeld's research focuses on understanding how animals store learned behaviors in their neuronal networks. His work centers on the zebra finch songbird as a model system, investigating how song memories are stored and retrieved from underlying brain circuits. His laboratory employs high-throughput 3D electron microscopy to map brain circuits at synaptic resolution, generating massive datasets that require advanced deep learning techniques for analysis. His team develops and applies state-of-the-art machine learning algorithms to reconstruct neural circuits and infer connectivity patterns. His recent publications demonstrate a clear trajectory toward increasingly sophisticated methods for neural circuit reconstruction and analysis, combining volume electron microscopy with deep learning approaches. The research spans multiple model organisms including zebra finches, mice, and zebrafish, with applications to understanding memory formation, behavioral control, and neural computation. Dr. Kornfeld leads a research team including Caitlin Gillespie, Nelson Medina, and Anastasia Sorokina. His laboratory is at the forefront of developing new methodologies for connectomics that bridge neuroscience, computer science, and engineering. He maintains active collaborations with multiple institutions including MIT, NYU, and the Max Planck Society.

Michele Zagnoniمشاهده پروفایل

دانشیار

• Microfluidics
• Lab-on-a-chip
• Bioelectronics
• +۴ مورد دیگر

Dr. Michele Zagnoni is a Reader (equivalent to Associate Professor) in the Department of Electronic & Electrical Engineering at the University of Strathclyde, Glasgow, UK. He leads the Zagnoni Lab, which focuses on developing microfluidic and lab-on-a-chip technologies for healthcare applications including fundamental biological research, drug screening, and personalized medicine therapy. His research group works on creating organ-on-a-chip in vitro models and synthetic biology applications. His academic qualifications include: Ph.D. degree in Electronic Engineering and Computer Science (2006) Dr. Eng. degree (5 year degree) in Electronic Engineering with Bioengineering qualification (2002) Italian state certification for engineering practice (2002) PostGraduate Certificate in Advanced Academic Studies (2012) Member of the EPSRC Peer Review College (2013) Dr. Zagnoni's research spans microfluidic technology development for healthcare applications with particular emphasis on: Development of microsystems for basic biology investigation Diagnosis and treatment of disease Creation of in vitro models and organ-on-a-chip systems Synthetic biology applications High-throughput screening and diagnostic systems His recent publications (2020-2025) demonstrate a strong trend toward neurological disease modeling, cancer research, and reproductive health applications using microfluidic platforms. His work bridges fundamental microfluidic technology development with applied healthcare solutions, with increasing focus on patient-derived models and precision medicine approaches for conditions including Parkinson's disease, Alzheimer's disease, cancer, and stroke. Scientific recognition includes: Member of Departmental Safety Committee (2011) Dr. Zagnoni actively supervises students and has secured numerous research grants, including major projects funded by EPSRC and the National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs). His lab has developed innovative microfluidic platforms for drug screening, disease modeling, and diagnostic applications. Current research projects include developing human stroke-on-a-chip models, engineering the bone marrow niche to control stem cell regulation, and creating microfluidic platforms for immuno-oncology drug screening services. The Zagnoni Lab operates from the Technology and Innovation Centre at the University of Strathclyde and collaborates extensively with biotech and pharmaceutical industries. The lab has also spun out ScreenIn3D, a start-up company providing miniaturized oncology drug screening services using 3D human in vitro models of disease.