جست‌وجوی استاد و پژوهشگر

• Particle and high energy physics
• Astronomical sciences
• Nuclear and plasma physics
• +۳ مورد دیگر

Wayne Springer is a Professor in the Department of Physics & Astronomy at the University of Utah, with a career spanning over 25 years. He has been actively involved in experimental particle astrophysics, ultra-high-energy cosmic ray (UHECR) physics, and gamma-ray astronomy. Ph.D. in Physics from University of Maryland (1991) B.S. in Physics from University of Maryland (1985) Postdoctoral training at University of Maryland and University of Alberta His research focuses on particle astrophysics, cosmic ray detection, and gamma-ray astronomy. He has made significant contributions to the development of the HiRes and Telescope Array cosmic ray observatories, as well as the HAWC and SWGO gamma-ray observatories. His recent work includes deployment of the Trinity neutrino detector prototype and serving as SWGO project manager for Chile site infrastructure. Article trends show strong emphasis on TeV gamma-ray observations (HAWC, SWGO), cosmic ray diffusion mechanisms, dark matter searches, and high-energy astrophysical source characterization (pulsars, microquasars, supernova remnants). He has secured multiple NSF grants for particle astrophysics research and leads detector working groups in international collaborations. Professor Springer actively participates in astronomy outreach, co-developing observatories and implementing computational physics teaching tools with Gradescope auto-graders for enhanced pedagogy. His work bridges experimental high-energy physics, detector development, and multiwavelength astrophysical studies.

• Molecular Structure and Self-Assembly
• Protein Folding and Misfolding
• Amyloid Fibril Formation
• +۷ مورد دیگر

Ehud Gazit is a distinguished Professor in the Department of Molecular Microbiology and Biotechnology at Tel Aviv University's Faculty of Life Sciences. He holds the Chair for Nano-Biology and serves as Vice President for Research and Development at Tel Aviv University. Professor Gazit has held numerous prestigious visiting appointments including at Umeå University, Fudan University, and Cambridge University. His academic journey began with a B.Sc. (summa cum laude) from Tel Aviv University's Special University Program for Outstanding Students in 1991, followed by a Ph.D. (with distinction) from the Weizmann Institute of Science in 1997, and postdoctoral training at MIT from 1997-2000. Professor Gazit's research focuses on molecular structure and self-assembly at the nano-scale, particularly examining protein folding, unfolding, and misfolding phenomena. His laboratory investigates the mechanisms and significance of protein unfolding and misfolding, with experimental systems including bacterial toxin-antidote systems, type II diabetes-related amyloidogenic proteins, and the VHL tumor suppressor protein. His work bridges fundamental biochemistry with nanotechnology applications, exploring how molecular self-assembly can be harnessed for technological innovation. His recent publications demonstrate a strong trajectory in peptide-based nanomaterials, with particular emphasis on amyloid formation mechanisms, peptide self-assembly for functional materials, and therapeutic applications targeting neurodegenerative diseases. His work spans multiple disciplines including biochemistry, nanotechnology, materials science, and biomedical engineering, showing increasing integration of fundamental research with practical applications. Professor Gazit has received numerous prestigious awards including: 2020 Landau Prize in Sciences and Arts in the Field of Healthy Aging 2019 Rappaport Prize for Excellence in Biomedical Research 2018 Foreign Fellow of the National Academy of Sciences, India 2016 ERC Advanced Grant from the European Research Council 2015 Elected Member of the European Molecular Biology Organization (EMBO) Professor Gazit has been actively involved in mentoring students and researchers, as evidenced by his extensive publication record with numerous collaborators. He has secured significant research funding including an ERC Advanced Grant. His professional activities include editorial board memberships for journals including Journal of Peptide Science, Nanoscience & Nanotechnology - Asia, and Amyloid. He previously served as Chief Scientist of the Ministry of Science and Technology (2012-2014). His laboratory has developed innovative approaches to studying molecular self-assembly, with particular expertise in peptide nanostructures. The research team has made significant contributions to understanding amyloid formation mechanisms while simultaneously developing novel biomaterials with applications ranging from electronics to medicine. They have established strong collaborations with research groups worldwide, creating a dynamic interdisciplinary research environment focused on the intersection of biology and nanotechnology.

George Stanمشاهده پروفایل

استاد

• Computational Biophysical Chemistry
• Protein Folding and Degradation
• Molecular Dynamics Simulations
• +۳ مورد دیگر

George Stan is a Professor of Chemistry at the University of Cincinnati's College of Arts and Sciences. He specializes in computational biophysical chemistry, focusing on protein folding, degradation, and the mechanisms of biological nanomachines like Clp ATPases and chaperonins. Stan received his B.Sc. (1994) from the University of Bucharest and his Ph.D. (1999) from Pennsylvania State University. His postdoctoral work at the University of Maryland and NIH explored protein folding assisted by chaperonins. Research Interests: Stan's work combines molecular dynamics simulations and bioinformatics to study protein-unfolding pathways, substrate recognition by chaperonins, and the dynamics of AAA+ nanomachines. His recent studies investigate how primary sequence and topology influence protein degradation, with applications to knotted proteins and disease-related misfolding. Key Achievements: Stan has secured over $8 million in NSF grants, including a CAREER award for computational modeling of biological nanomachines. His team develops multiscale models of protein translocation and employs machine learning to study allosteric communication in ClpP peptidases. He has published over 80 peer-reviewed articles and reviews. Notable Grants: NSF-BSF (2021-2025), NIH (2024-2029), and multiple XSEDE allocations Service: Co-chaired the 'Molecular Machines' focus session at APS March Meetings (2022-2024) Teaching: Advanced Computational Chemistry, Physical Chemistry, and Big Data in Chemistry Labs/Teams: Leads the Computational Biophysics group at UC, collaborating with Ruxandra Dima and Pietro Strobbia on interdisciplinary projects. Mentors over 20 graduate and undergraduate students since 2006.

Cengiz Zopluogluمشاهده پروفایل

دانشیار

• Quantitative Methods in Education
• Item Response Theory
• Computational Psychometrics
• +۴ مورد دیگر

Cengiz Zopluoglu is an Associate Professor in the Department of Special Education and Clinical Sciences at the University of Oregon's College of Education. His research focuses on quantitative methods in education, item response theory, computational psychometrics, and educational data science. He teaches advanced courses on psychometrics, statistical methodology, and data analysis using R. Education: PhD, 2013: University of Minnesota (Educational Psychology, Quantitative Methods) MA, 2009: University of Minnesota (Educational Psychology, Quantitative Methods) BA, 2005: Abant Izzet Baysal University (Mathematics Education, K-8) Research Interests: Zopluoglu's work emphasizes integrating machine learning and statistical models into educational measurement. He develops methods to detect test misconduct (e.g., item preknowledge) using response time and accuracy data, and explores automated scoring of open-ended responses using AI (e.g., transformers). His contributions include advancements in continuous response models, multidimensional IRT, and DETECT analysis for dimensionality assessment. Awards: 2023 Runner-up Prize in NAEP Math Automated Scoring Challenge (NCES) 2021 3rd Place in NIJ Recidivism Forecasting Challenge 2013 Graduate Student Research Award (University of Minnesota) Advising & Grants: Zopluoglu has advised on projects related to test security, automated scoring, and machine learning applications. His work often involves open-source tools like R and Stan, with a focus on reproducible research. Labs & Collaborations: He collaborates on initiatives like the Deterministic Gated Models for Test Security and the WrightRightNow automated scoring platform. His research leverages interdisciplinary approaches, blending psychometrics with computer science and data science.

Michael J. Spiveyمشاهده پروفایل

استاد

• Psycholinguistics
• Visual Perception
• Sensorimotor Processing
• +۵ مورد دیگر

Michael J. Spivey is a Professor of Cognitive Science at the University of California, Merced, affiliated with the School of Social Sciences, Humanities and Arts. His research focuses on understanding human cognition through embodied and dynamic systems approaches, with particular expertise in eye-tracking methodologies and real-time language processing. As a faculty member in the Cognitive and Information Sciences department, he contributes to interdisciplinary research that bridges psychology, linguistics, and neuroscience. Dr. Spivey's educational background includes: Ph.D. in Brain and Cognitive Sciences from the University of Rochester (1996) M.A. in Brain and Cognitive Sciences from the University of Rochester (1995) B.A. from the University of California, Santa Cruz (1991) His research interests span psycholinguistics, visual perception, sensorimotor processing, embodied cognition, and dynamical systems theory. Dr. Spivey investigates how cognitive processes unfold in real-time through eye movements and other behavioral measures, challenging traditional modular views of cognition. His work emphasizes the continuous interaction between perception, action, and cognition, demonstrating how language processing is deeply embedded in our sensorimotor experiences. He has made significant contributions to understanding the time course of language comprehension, the role of visual context in linguistic processing, and the dynamic nature of cognitive representations. Analysis of Dr. Spivey's recent publications reveals a strong focus on embodied and dynamic approaches to cognition. His work spans diverse areas including eye-tracking and mouse-tracking methodologies, team cognition, creativity research, bilingual language processing, and the application of foraging theory to cognitive processes. A recurring theme across these publications is the investigation of real-time cognitive dynamics using continuous behavioral measures. His research increasingly incorporates ecological approaches, examining cognition in more naturalistic contexts while maintaining experimental rigor. The interdisciplinary nature of his work is evident in collaborations across psychology, linguistics, neuroscience, and even music cognition. Dr. Spivey is affiliated with the Center for Human Adaptive Systems and Environments and collaborates with researchers at Western University, Northwestern University, Brown University, and UCLA. His work with students likely focuses on training in advanced methodologies for measuring real-time cognitive processes.

David A. Hoodمشاهده پروفایل

استاد

• Cell Physiology
• Mitochondrial Biology
• Skeletal Muscle Physiology
• +۹ مورد دیگر

David A. Hood is a Full Professor and former Canada Research Chair in Cell Physiology (2003–2024) at York University, affiliated with the School of Kinesiology and Health Science. He is the Founding Director of the Muscle Health Research Centre (MHRC) and supervises graduate students in the Biology Graduate Program. Research Interests: His research focuses on mitochondrial biogenesis, turnover, and function in skeletal muscle. He investigates how exercise, aging, and muscle disuse affect mitochondrial health, with a particular interest in mitophagy, lysosomal function, and cellular signaling. His work spans human, animal, and cellular models, integrating physiological, biochemical, and molecular biology approaches. Recent Publication Trends: Recent publications emphasize transcriptional regulation (e.g., TFEB, TFE3, ATF4, p53), organelle crosstalk (mitochondria-lysosome interactions), and the role of exercise as 'mitochondrial medicine.' His lab explores therapeutic interventions like mitochondrial transplantation and nutrient signaling in muscle health. Scientific Awards: Canada Research Chair in Cell Physiology (2003–2024) Finalist for a prestigious national award Advising and Grants: Dr. Hood actively mentors graduate students and postdoctoral fellows. He has secured significant funding, including a $1 million CIHR grant to study mitochondria and lysosomes in muscle. His lab fosters interdisciplinary collaboration and contributes to major reviews in the field. Labs and Teams: He leads the Hood Lab at York University and co-founded the Muscle Health Research Centre (MHRC), a multidisciplinary hub promoting research on muscle function, exercise, and aging. The MHRC facilitates collaboration across departments and institutions.

Markus Axerمشاهده پروفایل

استاد

• Connectome
• Neuroimaging
• Polarization Microscopy
• +۳ مورد دیگر

Prof. Markus Axer is a Professor and Deputy Head of the Structural and Functional Organisation of the Brain (INM-1) at the Institute of Neuroscience and Medicine (INM) within Forschungszentrum Jülich. His research focuses on connectomics, neuroimaging technologies (e.g., 3D-Polarized Light Imaging), and high-performance computing applications in brain architecture analysis. He leads the 'Fiber Architecture' working group, advancing microscopy techniques like scattered light imaging and MRI-histology correlation for studying brain microstructure. His work bridges experimental neuroscience with computational methods, aiming to decode brain organization at meso- and macroscales. Key achievements include developing the HippoMaps atlas of the human hippocampus and improving fiber orientation mapping in brain tissue. Awards include Fellowship in the Royal Netherlands Academy of Arts and Sciences (2024). Research emphasizes cross-modal data integration, with applications in Alzheimer’s disease biomarker validation and primate brain evolution studies. He collaborates with academic institutions like the University of Wuppertal and contributes to international initiatives like the BigBrain Analytics Learning Laboratory.

Pierre F Baldiمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۱۰ مورد دیگر

Pierre Baldi is a Distinguished Professor at the University of California, Irvine (UCI), holding appointments in the School of Information and Computer Sciences (ICS), the Institute for Genomics and Bioinformatics (IGB), and the Center for Machine Learning and Intelligent Systems (CML). His research focuses on AI, machine learning, and their applications in natural sciences, including physics, chemistry, and biology. He leads projects on neural networks, probabilistic modeling, and bioinformatics. Key roles include Director of the IGB and AI in Science Institute. Awards include the Dennis Gabor Award and Fellowships from AAAI, AAAS, and IEEE. His work spans interdisciplinary collaborations, such as the DUNE neutrino experiment and AI-driven drug discovery. Teaches courses like Probabilistic Modeling of Biological Data and Neural Networks. Active in conferences, including workshops on deep learning and its implications in science.

• Redox Biology
• Cancer Research
• Drug Metabolism
• +۴ مورد دیگر

Zhiwei Ye is an Associate Professor in the Department of Pharmacology & Immunology at the College of Medicine, Medical University of South Carolina. His research focuses on redox biology, cancer mechanisms, and drug metabolism with a particular emphasis on mitochondrial function, oxidative stress, and therapeutic resistance. He holds a PhD in Pharmaceutical Science from Katholieke Universiteit Leuven (Belgium, 2009) and prior degrees from Zhejiang University (China). PhD in Pharmaceutical Science, 2009 – Katholieke Universiteit Leuven, Belgium Master in Pharmaceutical Science, 2005 – Katholieke Universiteit Leuven, Belgium Master in Medicine, 2003 – Zhejiang University, China B.S. in Pharmacy, 2000 – Zhejiang University, China Dr. Ye’s research explores how redox regulation impacts cancer progression, drug resistance, and metabolic disorders. His work integrates enzymology (e.g., GSTP, PDI), mitochondrial dynamics, and zebrafish models to study mechanisms like S-glutathionylation, VDAC targeting, and drug-transporter interactions. Recent studies highlight novel therapeutic strategies for hepatocellular carcinoma, melanoma, and myeloma through modulation of redox pathways. Publications emphasize translational research bridging basic biology and clinical applications, including drug development (e.g., Telintra) and understanding treatment resistance in malignancies. His work also addresses metabolic disease mechanisms, such as hepatic steatosis and drug-induced renal toxicity. No scientific awards explicitly mentioned in provided texts. Active in grant-funded research areas like cancer biology and redox signaling. Collaborates on projects involving drug-transporter profiling in hepatocytes and cellular stress responses.

• HIV Research
• Virology
• Immunology
• +۳ مورد دیگر

Yulong Wei is a Researcher in the Department of Microbial Pathogenesis at Yale School of Medicine. His work focuses on understanding viral persistence mechanisms, particularly in HIV-1 and SARS-CoV-2, using cutting-edge genomic and immunological approaches. He explores how host cellular environments influence viral integration, reservoir formation, and immune evasion. Research interests include: HIV reservoir dynamics and latency mechanisms Host-pathogen interactions in viral persistence Single-cell multiomics analysis of viral infections Antiviral drug discovery and repurposing Ribosomal adaptation and translation mechanisms in bacteria Recent work highlights his contributions to understanding how interferon signaling and chromatin structure affect HIV integration sites, as well as computational studies of griseofulvin's potential in combating SARS-CoV-2. He has also investigated evolutionary genomic signatures in microbes related to translation efficiency and environmental adaptation. His lab is part of the Yale School of Medicine's broader efforts in microbial pathogenesis and infectious disease research, with a focus on translational applications for persistent viral infections.

David de Sancho Sánchezمشاهده پروفایل

پژوهشگر ارشد

• Protein Folding
• Biomolecular Conformational Dynamics
• Computational Chemistry
• +۲ مورد دیگر

David de Sancho Sánchez is a Ramón y Cajal Research Fellow at the University of the Basque Country (UPV/EHU) and the Donostia International Physics Center (DIPC) in Spain. His research employs computational methods to study protein dynamics, folding mechanisms, and biomolecular interactions, with a focus on quantitative comparisons between theory, simulation, and experimental data. Education & Training: Biophysical Chemistry training at San Pablo CEU and Complutense Universities PhD under Antonio Rey at Complutense University Postdoctoral work with Victor Muñoz (Spanish Research Council) and Robert Best (University of Cambridge) Research Focus: David's work spans protein folding landscapes, metal-binding proteins, mechanical unfolding, and phase separation. Recent investigations include amyloid-beta aggregation, titin mechanics in cardiac disease, and computational drug design for cancer and neurodegeneration. His methodologies integrate molecular dynamics, Markov state models, and force spectroscopy simulations. Scientific Awards: Ramón y Cajal Fellowship (UPV/EHU) Ikerbasque Research Fellowship (CIC nanoGUNE) Affiliations: He leads computational research at UPV/EHU's Theoretical Chemistry Unit and collaborates extensively with experimental groups at DIPC, focusing on protein engineering and disease mechanisms.

• Skeletal Muscle Physiology
• Ribosome Biogenesis
• Transcriptional Regulation
• +۴ مورد دیگر

Gustavo Alberto Nader is a Professor of Kinesiology at The Pennsylvania State University , holding the Dorothy Foher and J. Lloyd Huck Chair in Molecular, Cellular and Integrative Physiology. His research focuses on skeletal muscle growth control , ribosome biogenesis , and transcriptional/epigenetic regulation in health and disease contexts. Affiliated with the Huck Institutes of the Life Sciences and College of Health and Human Development Principal Investigator on NIH-funded projects examining ribosomal control of muscle mass Research Interests span molecular mechanisms of muscle adaptation to exercise, cancer cachexia, chronic disease impacts on muscle, and cross-species Wnt signaling regulation by CO₂ levels. Key methodologies include human/animal/cell models, ribosomal analysis, and epigenetic profiling. Publication Trends show sustained focus on: Ribosome biogenesis in muscle hypertrophy (2012–2025) Cancer-induced muscle wasting mechanisms (2015–2024) CO₂/Wnt pathway interactions (2015–2019) Exercise-induced transcriptional responses (2001–2016) Scientific Awards include the Huck Chair, while his Grants & Collaborations involve NIH-funded studies on transcriptional/epigenetic mechanisms (2019–2026) with cross-disciplinary teams in physiology, oncology, and respiratory medicine.

David M. Smithمشاهده پروفایل

استاد

• Proteasome Function
• Cancer Biology
• Neurodegenerative Diseases
• +۳ مورد دیگر

David M. Smith is a Professor at the West Virginia University School of Medicine , holding dual appointments in the Biochemistry and Molecular Medicine and Neuroscience departments. He is also a member of the WVU Cancer Institute and affiliated with the Rockefeller Neuroscience Institute . PhD from the University of South Florida School of Medicine Postdoctoral training at Harvard Medical School Research Focus : Molecular mechanisms of proteasome function, including substrate recognition, unfolding, and degradation. His work bridges fundamental enzymology with translational applications in cancer therapy and neurodegenerative diseases like Alzheimer's and Parkinson's. Key Article Trends : Recent publications emphasize proteasome activation mechanisms , neurodegenerative disease models , and structural insights into ATPase function . Grants : NIH R01 GM107129 (Mechanisms regulating proteasomal degradation), NIH R01 AG064188 (Proteasome function in Alzheimer's), and collaborations on projects like Protein-unfolding chaperones for blindness treatment . Lab Personnel : Includes graduate students Thomas Bradley, David Salcedo-Tacuma, Giovanni Howells, and Md Qamrul Islam, along with research technicians and undergraduates. Training emphasizes biochemical, biophysical, and computational techniques.

Rebecca Taylorمشاهده پروفایل

مدرس

• Biological Resilience
• Cellular Stress Response
• Ageing
• +۷ مورد دیگر

Rebecca Taylor is a Lecturer in Biomedicine at the School of Biological Sciences, University of East Anglia (UEA). She leads an active research group focused on biological resilience, cellular stress responses, and the molecular mechanisms linking ageing and homeostasis. She is currently accepting PhD students, indicating ongoing academic mentorship and research supervision. Research Interests: Dr. Taylor's research centers on understanding how cells and organisms maintain homeostasis under stress. Her lab investigates the secretory pathway as a central hub for stress response coordination, with a particular interest in how ageing disrupts these pathways. Key aims include identifying novel stress resistance mechanisms, understanding systemic coordination of resilience, and exploring how modulating stress pathways can influence ageing and age-related diseases. Publication Trends: Her recent work, published in journals like Nature Aging , Frontiers in Aging , and Nature Chemical Biology , shows a strong focus on model organisms (especially C. elegans ), unfolded protein response (UPR), TGF-β signaling, and the intersection of sensory perception and lifespan regulation. The research integrates molecular biology, genetics, and systems-level approaches to uncover conserved mechanisms of ageing and resilience. Scientific Recognition: While specific awards are not listed, her work has garnered significant attention, with over 3500 citations (Scopus) and an h-index of 11. Her research has been highlighted on social media platforms (X, Facebook), picked up by news outlets, and blogged about, indicating broad academic and public engagement. Mentorship and Research Output: Dr. Taylor actively supervises research, as evidenced by her co-authorship with junior researchers and her openness to PhD students. Her lab produces a steady stream of high-quality publications, including original research articles and commentaries, contributing to key discussions in ageing and stress biology. She collaborates with an international network of scientists, as shown by her co-authorship on conference reports and multi-institutional studies. Laboratory and Collaboration: The Taylor Lab operates within the School of Biological Sciences at UEA, focusing on experimental models to dissect stress response pathways. Her collaborations span multiple institutions and countries, reflecting an integrated approach to studying organismal proteostasis and ageing. The lab utilizes genetic, biochemical, and behavioral assays to explore fundamental questions in biomedicine.

• Developmental Psychology
• Adolescent Development
• Emotion Regulation
• +۳ مورد دیگر

Tom Hollenstein is a Professor in the Department of Psychology at Queen's University, specializing in developmental psychology with a focus on adolescence, emotion regulation, and dynamic systems theory. His research explores how emotional processes unfold over time within social contexts, particularly in parent-child and peer interactions. Research Interests: Adolescent development and emotion regulation Dynamic systems approaches to social interaction Family dynamics and mental health Longitudinal modeling of emotional flexibility His work integrates methodological innovations such as state space grids and multilevel modeling to capture real-time emotional dynamics. He has contributed significantly to understanding how emotional rigidity in early relationships predicts later psychopathology. Recent Trends in Publications: Hollenstein’s recent work emphasizes the application of dynamic systems theory to daily life emotion regulation, especially in adolescents. His studies during the COVID-19 pandemic highlight the mental health implications for youth, using longitudinal data to track changes over time. Advising and Collaborations: He has mentored several graduate students who have gone on to academic positions, including Jessica Lougheed and Jennifer Eastabrook. His collaborations span institutions such as the University of Toronto, University of British Columbia, and Pennsylvania State University.