جست‌وجوی استاد و پژوهشگر

Daniel A Gorelickمشاهده پروفایل

دانشیار

• Cell signaling
• Environmental influence on organ formation & function
• Zebrafish genetics

Daniel A. Gorelick, Ph.D., is an Associate Professor at Baylor College of Medicine in the Department of Molecular & Cellular Biology. His research utilizes genetic tools in zebrafish to study how endogenous and environmental hormones influence the development and function of organs including the heart, brain, and gonad. Education: B.A. from University of Pennsylvania Ph.D. from Johns Hopkins University School of Medicine Postdoctoral Fellowships: AAAS Science & Technology Policy Fellowship (US Department of State) and Developmental Biology, Endocrinology (Carnegie Institution for Science) Research Focus: Dr. Gorelick's work bridges cell signaling, environmental influences on development, and zebrafish genetics. His team investigates hormone-mediated processes using CRISPR-based methods, receptor characterization, and high-throughput screening approaches to understand fundamental biological mechanisms and toxicological responses. Publication Trends: Recent articles focus on improving scientific peer review, zebrafish models for vaccine development and toxicology, estrogen receptor mechanisms, and novel screening platforms. This reflects dual emphases on research methodology innovation and molecular mechanisms of endocrine disruption. Funding: Actively supported by NIH/NIEHS and NIH/NICHD grants investigating aryl hydrocarbon receptor interactions and developmental toxicity mechanisms.

Rocco D'Antuonoمشاهده پروفایل

پژوهشگر

• Imaging
• Cell Biology
• Biomedical Engineering
• +۳ مورد دیگر

Rocco D'Antuono is a Researcher at The Francis Crick Institute, specializing in advanced microscopy techniques and bioimage analysis. He holds a Physics background and has extensive experience in live cell imaging, confocal microscopy, and facility management. His career includes roles at the FIRC Institute for Molecular Oncology (IFOM) and the Institute for Research in Biomedicine (Bellinzona), where he contributed to microscopy and mass spectrometry facilities. His research interests revolve around imaging technologies, cell biology, and their applications in understanding disease mechanisms. He has developed open-source software tools like GIANI and ZELDA for 3D microscopy analysis, emphasizing reproducibility and collaboration in scientific imaging. He frequently collaborates with labs studying autophagy, infectious diseases, and immunology. His work spans diverse areas including tuberculosis pathology modeling, drug delivery systems for neurodegenerative diseases, and the role of endothelial cells in viral infections. He actively promotes bioimage analyst contributions to scientific research and publishing through initiatives like the NEUBIAS training schools.

Diana Libudaمشاهده پروفایل

دانشیار

• Molecular Biology
• Genetics
• Cell and Developmental Biology
• +۵ مورد دیگر

Diana Libuda is an Associate Professor in the Department of Biology at the University of Oregon, affiliated with the College of Arts and Sciences. Her research focuses on molecular mechanisms underlying meiosis, particularly DNA repair, recombination, and chromosome dynamics in Caenorhabditis elegans . She leads the Libuda Lab ( www.libudalab.org ), where her team investigates gametogenesis and the genetic basis of fertility. Key research areas include: (1) Regulation of meiotic recombination by synaptonemal complex proteins, (2) Role of BRCA1/BRC-1 and SMC-5/6 in DNA repair pathway choice, and (3) Mechanisms of nuclear migration through constricted spaces during development. Her work bridges genetics, cell biology, and genomics to understand fundamental processes in reproduction and genome stability. Dr. Libuda has pioneered techniques like auxin-dependent protein depletion for live imaging in C. elegans , enabling real-time observation of meiotic processes. Her lab also developed quantitative image analysis tools for germline studies. Notable achievements include identification of transposable element roles in structural variation and discovery of CDC-42-driven actin networks in nuclear positioning. Recipient of the 2018 PLOS Genetics Research Prize for her work on spindle assembly during meiosis. Active in interdisciplinary research collaborations, particularly with Stanford University School of Medicine. Office located at 375E Streisinger Hall, with contact details available via email dlibuda@uoregon.edu .

Guy Glenn Potterمشاهده پروفایل

دانشیار

• Neurodegenerative Disorders
• Cognitive Neuroscience
• Geriatric Psychiatry
• +۷ مورد دیگر

Dr. Guy Glenn Potter is an Associate Professor in the Department of Psychiatry and Behavioral Sciences at Duke University, with an affiliate role in the Center for Brain Imaging and Analysis. He holds multiple past academic appointments including Assistant Professor, Clinical Associate, and Instructor positions within the same department. His primary affiliation is at Duke Clinic (South) with mailing addresses at Duke Box 3834 Med Ctr. Dr. Potter earned his Ph.D. from the University of North Carolina at Chapel Hill in 2001. His research focuses on cognitive neuroscience, neurodegenerative disorders, and psychiatric conditions in aging populations. Key areas include Alzheimer's disease progression modeling, genetics of late-life depression, neuroimaging biomarkers for cognitive decline, and environmental risk factors such as pesticide exposure and head trauma impacts on brain aging. He employs advanced machine learning techniques for MRI analysis and has contributed to studies on cross-domain imaging adaptation and clinical trial design for cognitive interventions (e.g., PACT Trial). His grant activities span 14+ projects, prominently funded by the National Institutes of Health (NIH), focusing on cognitive impairment mechanisms, aging-related brain changes, and translational research. Notable grants address Alzheimer's-Related Dementias post-liver transplantation, genotype-phenotype links in geriatric depression, and social determinants influencing brain aging in Black populations. His work bridges clinical practice with cutting-edge neuroimaging and computational methods. Dr. Potter has advised/co-authored numerous studies but no formal advisee list is provided. His lab collaborations include multi-site neuroimaging studies and interdisciplinary teams exploring brain connectomics and depression symptomatology. He is actively involved in developing predictive models for neurodegenerative diseases and advancing understanding of environmental and genetic influences on late-life mental health.

• Computational Linguistics
• Artificial Intelligence
• Image Understanding
• +۳ مورد دیگر

Margaret M. Fleck is a Teaching Professor at the Siebel School of Computing and Data Science , University of Illinois, Urbana-Champaign. She holds a Ph.D. in Electrical Engineering and Computer Science from MIT (1988), an M.S. from MIT (1985), and a B.A. in Linguistics from Yale University (1982). Her research focuses on computational linguistics, unsupervised word segmentation, prosodic features in language modeling, and computer vision. She has contributed to systems like Envision and Schwa , which integrate programming language support for AI and linguistic research. Teaching is central to her work, with extensive development of courses like Discrete Structures (CS 173) and Artificial Intelligence (CS 440) . She emphasizes scalable educational materials, including textbooks, video lectures, and automated assessments. Fleck received the Rose Teaching Award (2019) for her pedagogical innovations. Her former advisees include faculty members such as Ramesh Raskar (MIT), Sang-Kyun Kim (Myongji University), and Cassandra Jacobs (SUNY Buffalo). She has supervised numerous PhD, MS, and undergraduate projects across linguistics, computer vision, and AI. Fleck’s work also extends to interdisciplinary systems, such as Rememberer for museum visit tracking and Rememberer for annotating personal experiences.

Olav Engebråtenمشاهده پروفایل

استاد

• Breast Cancer Research
• Medical Oncology
• Genetic Epidemiology
• +۳ مورد دیگر

Olav Engebråten is a Professor at the Institute for Cancer Research , University of Oslo. His research focuses on breast cancer biology, with an emphasis on genetic and molecular mechanisms underlying tumor progression, treatment response, and biomarker discovery. He leads studies on germline variants, polygenic risk scores, and therapeutic targets in breast cancer subtypes. Research interests include: Genetic predisposition and somatic mutations in breast cancer Neoadjuvant and anti-angiogenic therapies Biomarker development for treatment prediction Multimodal imaging (MRI/PET) for tumor response monitoring Publications highlight contributions to understanding germline variants' roles in cancer predisposition, predictive biomarkers (e.g., RAB5A), and integrative omics approaches for treatment decision-making. Collaborates internationally across clinical, genetic, and computational oncology fields. Labs/Teams: Active in the Institute for Cancer Research and multidisciplinary breast cancer research networks.

Fabio Benedettiمشاهده پروفایل

پژوهشگر

• Marine Ecology
• Zooplankton Biology
• Climate Change Impacts
• +۳ مورد دیگر

Dr. Fabio Benedetti is a Researcher in the Department of Plant Ecology at the Institute of Plant Sciences, University of Bern. His work focuses on understanding the biogeography, functional diversity, and climate change impacts on marine plankton communities. He employs machine learning and biogeochemical modeling to study copepod ecology, zooplankton roles in carbon cycling, and the restructuring of marine assemblages under global warming. Key research themes include: (1) Functional trait-based analysis of plankton communities, (2) Climate-driven shifts in marine bioregions, (3) Quantifying zooplankton contributions to biogeochemical cycles, and (4) Developing predictive models for plankton responses to environmental change. His work integrates field data with advanced computational methods to address pressing questions in marine ecology. Notable contributions include demonstrating copepod bioregion dynamics in the North Atlantic, quantifying functional diversity impacts on ecosystem functioning, and revealing climate change effects on Mediterranean zooplankton communities. His studies highlight both regional and global perspectives, emphasizing the interconnectedness of planktonic systems with broader marine health. Research outputs consistently emphasize methodological innovations (machine learning applications), cross-scale analyses (from individual species to global patterns), and interdisciplinary approaches combining ecology, oceanography, and biogeochemistry. Current work explores emerging marine biomes through phytoplankton-driven classifications and evaluates the role of gelatinous zooplankton in carbon sequestration processes.

• Physics Education
• Science Curriculum Development
• Quantum Physics
• +۴ مورد دیگر

Marjan Zadnik is an Adjunct Associate Professor in the Department of Physics at the University of Western Australia's School of Physics, Maths and Computing. Their research focuses on modernizing science education through Einsteinian curriculum development, particularly in K-10 settings. Zadnik has pioneered initiatives like the Einstein-First program, emphasizing early exposure to relativity and quantum physics concepts. Their work includes teacher upskilling programs, curriculum design validation, and assessment of student conceptual understanding through mixed-method approaches. Collaborative efforts involve institutions like the Gravity Discovery Centre and utilize facilities such as the Zadko Telescope for educational outreach. Over 46 publications highlight contributions to astronomy education, STEM pedagogy innovation, and remote laboratory learning efficacy.

• Astronomy
• Astrophysics
• Radio Astronomy
• +۳ مورد دیگر

Dr Minh Huynh is an Adjunct Senior Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) affiliated with The University of Western Australia. His research focuses on radio astronomy, galactic evolution, and cosmology, with a particular emphasis on radio galaxy detection, survey methodologies, and advanced data analysis techniques. He has contributed to major projects like the Evolutionary Map of the Universe (EMU) and the WALLABY Pilot Survey. Key research interests include radio source classification, machine learning applications in astronomy, and the development of novel data formats for spectral-domain observations. He has collaborated on international initiatives involving the Square Kilometre Array and led projects on black hole feedback mechanisms in deep radio surveys. Notable contributions include pioneering work in automated radio galaxy detection via computer vision (RadioGalaxyNET), creation of the RG-CAT radio galaxy catalogue, and development of the SDHDF data format for spectral radio astronomy data. His work bridges observational astronomy with computational methods to advance understanding of galaxy evolution and cosmological structures. Minh has secured grants for large-scale cosmological surveys and has published extensively in leading journals like the Publications of the Astronomical Society of Australia. His datasets, including EMU pilot survey catalogues and WALLABY source findings, are widely utilized in astronomical research.

Allison McKendrickمشاهده پروفایل

استاد

• Optometry
• Neuroscience
• Glaucoma Research
• +۵ مورد دیگر

Allison McKendrick is a Professor and Chair of Optometry Research at the University of Western Australia (UWA) and the Lions Eye Institute. She holds an honorary position as Professor at the University of Melbourne since 2022. Her research focuses on understanding vision processing in health and disease, particularly in glaucoma, migraine, and neuro-ophthalmic disorders. She has over 20 years of experience and employs advanced neuroimaging and electrophysiological techniques. Education: BScOptom, MScOptom, PGCertOcTher, PhD. Her work addresses clinical translation of vision science, including developing improved diagnostic tools and assessing the impact of vision loss on daily life. She has secured significant funding from ARC, NHMRC, philanthropic organizations, and industry partners. Key research areas include: Visual field assessment methodologies Age-related visual decline Cortical excitability in migraine Rural eye care accessibility Structural-functional mapping in glaucoma Notable funding grants include ARC Discovery projects (e.g., DP190103141, DP180102596) and NHMRC projects (e.g., GNT1081874). She has published over 190 peer-reviewed articles and led major initiatives like the Open Perimetry Initiative and telemedicine projects. Current active projects focus on en face optical coherence tomography for glaucoma detection, needs-based primary care planning, and pediatric vision testing in eye/brain disorders. She supervises higher-degree research students and collaborates internationally on vision science advancements.

Greg Stephensمشاهده پروفایل

دانشیار

• Behavioral Dynamics
• Statistical Physics
• Information Theory
• +۳ مورد دیگر

Greg Stephens is an Associate Professor in the Physics of Living Systems department at the Faculty of Science, Vrije Universiteit Amsterdam. He also holds a position at the LaserLaB - Molecular Biophysics and is affiliated with the Okinawa Institute of Science and Technology since 2012. His research pioneers the physics of behavior, focusing on understanding emergent dynamics in organisms like C. elegans, zebrafish, and honeybee collectives. Combining statistical physics, information theory, and dynamical systems, his group develops quantitative experiments to study behavior at both individual and collective scales. His work emphasizes interdisciplinary collaboration, addressing questions like how organisms optimize behavior through evolutionary goals such as foraging and reproduction. Key contributions include behavioral analysis tools like WormPose and DISK, and studies on social dynamics in zebrafish and honeybees. Stephens has supervised three PhD theses and contributed to datasets on C. elegans behavior and organoid tracking. His research bridges theoretical frameworks with empirical observations, advancing our understanding of biological systems' behavior across scales.

• Machine Learning
• Renewable Energy
• Quantum Computing
• +۵ مورد دیگر

Dr. Hao Chen is an Assistant Professor at the University of Twente, affiliated with the Industrial Engineering & Business Information Systems department and the MESA+ Institute. His research focuses on renewable energy systems, machine learning applications, and autonomous systems, contributing to the United Nations Sustainable Development Goals. Dr. Chen's research interests include wind energy modeling, quantum computing for energy systems, vehicular edge computing, and trajectory prediction in autonomous driving. He explores machine learning techniques for fault detection in energy infrastructure and develops innovative solutions for sustainable energy scenarios. His work also addresses human-machine interaction in autonomous vehicles and environmental monitoring systems. His recent publications explore advancements in computer vision techniques for scene graph prediction, building outline extraction, and camera pose estimation. He has also contributed to studies on energy systems, including wind model downscaling, quantum computing applications, and cost-efficient vehicular edge computing for air pollution monitoring. His work bridges theoretical developments with practical applications in sustainable energy and autonomous technologies. No scientific awards or advising/grant information is available. His research aligns with the university's focus on sustainable innovation and technological solutions.

Karen Cheneyمشاهده پروفایل

دانشیار

• Marine Ecology
• Animal Signaling
• Color Vision
• +۵ مورد دیگر

Associate Professor Karen Cheney is a marine ecologist at The University of Queensland, leading the Marine Sensory Ecology Group and serving as Academic Director of the Moreton Bay Research Station. Her work focuses on predator-prey interactions, animal signaling, and color pattern evolution in marine organisms, particularly nudibranchs and reef fish. She co-leads conservation projects on seahorse conservation and shellfish reef restoration in SE Queensland, and is Deputy Director of the Centre for Marine Science. Education: BSc(Hons) from The University of Manchester; PhD from University of East Anglia; Postgraduate Diploma in Higher Education from UQ. Roles: Director of Centre for Marine Science; Affiliate Associate Professor at Queensland Brain Institute. Her research integrates sensory, behavioral, and chemical ecology using innovative methods like underwater spectral analysis and CRISPR technology. Key areas include aposematic signaling in nudibranchs, UV vision in anemonefishes, and the ecological role of color patterns in predator avoidance. She collaborates widely on projects addressing marine conservation and visual system evolution. Recent work explores how chemical defenses correlate with color patterns, UV vision’s role in fish behavior, and the application of quantitative color analysis (QCPA) to ecological studies. Projects also investigate the impacts of cleaner fish on reef ecosystems and the functional significance of structural coloration in marine species. Her lab develops cutting-edge tools like multi-channel LED displays for UV perception studies and automated workflows for color pattern analysis. These innovations advance understanding of how marine organisms perceive and communicate within their environments.

• Plant Developmental Biology
• Vascular Tissue Development
• Cell Division and Differentiation
• +۴ مورد دیگر

Dr. Peter Etchells is an Associate Professor in the Department of Biosciences at Durham University, specializing in plant developmental biology. His research focuses on understanding plant vascular tissue development, particularly the coordination of cell division, differentiation, and tissue organization. He investigates signaling pathways such as the PXY-CLE41 module and explores symbiotic plant structures like domatia. His work integrates computational modeling, genetic approaches, and experimental biology to uncover molecular mechanisms governing vascular growth and patterning. Dr. Etchells’ research interests include vascular cell fate determination, light-dependent differentiation processes, and hormonal regulation (e.g., abscisic acid). He has contributed to studies on plant-microbe interactions, stem cell regulation in cambium, and the application of mathematical models to simulate vascular development. His lab also develops quantitative methods for analyzing plant morphology, enhancing experimental accuracy and data interpretation. Notable contributions include identifying key factors in cambium stem cell positioning and advancing methods to increase wood formation through PXY-regulated cell division. His work bridges fundamental science with potential applications in agriculture and biomass generation. He currently supervises four postgraduate students, focusing on topics like vascular biology and plant development. Dr. Etchells collaborates widely, contributing to interdisciplinary research in plant biology. His lab’s activities emphasize molecular genetics, cell biology, and computational analysis, with a focus on vascular tissue dynamics and developmental signaling pathways.

Amir Fazlollahiمشاهده پروفایل

پژوهشگر ارشد

• Neuroimaging
• Neurodegenerative Diseases
• MRI Techniques
• +۴ مورد دیگر

Dr. Amir Fazlollahi is a Research Fellow at the Queensland Brain Institute (QBI), University of Queensland. His research focuses on advanced neuroimaging techniques, including quantitative susceptibility mapping (QSM), MRI technology, and their applications in understanding neurodegenerative diseases like Alzheimer's and multiple sclerosis. He also investigates biomarkers of brain iron metabolism, cognitive decline, and vascular pathology. His work often integrates artificial intelligence for image analysis and clinical trial design. Key areas of expertise include: Development of MRI-based tools for early disease detection Quantitative assessment of brain iron accumulation and its clinical implications Longitudinal studies of cognitive aging (e.g., AIBL and PISA cohorts) Clinical trials targeting neurodegenerative disease mechanisms (e.g., deferiprone for Alzheimer's) Recent studies highlight contributions to: Improving structural MRI resolution for individualized dementia diagnosis Understanding the interplay of amyloid burden and cerebral blood flow in preclinical Alzheimer’s Automated lesion detection in neuroimaging data using machine learning Dr. Fazlollahi collaborates widely with institutions such as the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study and leads projects like the Prospective Imaging Study of Ageing (PISA), focusing on genetic, brain, and behavioral biomarkers of prodromal Alzheimer's disease.