جست‌وجوی استاد و پژوهشگر

Melissa Coyleمشاهده پروفایل

مدرس ارشد

• Sport Psychology
• Exercise Science
• Mental Health
• +۳ مورد دیگر

Melissa Coyle is a Senior Lecturer at the School of Sport, Exercise and Rehabilitation, Marjon University. She specializes in sport and exercise psychology, focusing on applications in sport science, coaching, physical education, outdoor education, and health and well-being. Her qualifications include HCPC registration as a sport and exercise psychologist, BASES chartered scientist, and BASES-accredited sport scientist (Psychology), alongside a PGCert, MSc, and BSc. Her research explores psychological factors in high-stakes environments, including military training, cancer patient exercise programs, and aging populations. Notable studies include a qualitative evaluation of an 8-week exercise referral program for cancer patients and an investigation into psychological factors in Royal Artillery Army Commando training. She has also examined motivations and barriers to indoor bowls participation among over-65s and mental health transitions in university students. Dr. Coyle has been awarded grants for studies like 'Psychological factors in Army Commando training' and 'Exercise adherence for cancer recovery.' Her publications span journals like Psychology of Sport and Exercise and conferences such as the Association of Applied Sport Psychology. She actively contributes to professional bodies like HCPC and BASES. Her teaching emphasizes practical applications of psychology in sports and health, complemented by research-driven insights. Beyond academia, she is an avid golfer and hill walker.

• Public Health
• Health Promotion
• Behavioral Science
• +۱۰ مورد دیگر

Rik Crutzen is a Full Professor at the Faculty of Health, Medicine and Life Sciences, Maastricht University, specializing in health promotion and digital interventions. His research focuses on leveraging technology to improve health behaviors across diverse populations, including adolescents, older adults, and immigrant communities. He leads projects in the CAPHRI research group for Promoting Health & Personalised Care. Research trends include: Digital health innovations (e.g., helplines, apps, algorithms) Chronic disease management (post-COVID-19, dementia risk) Health equity in immigrant populations (cervical cancer, maternal care) Behavioral interventions (physical activity, sleep, STI prevention) Systematic reviews and mixed-methods studies He has supervised 22 academic works and contributed to datasets on activity patterns and sleep-activity correlations. His work spans public health policy, health education, and technology integration.

Carmen Bergomمشاهده پروفایل

دانشیار

• Radiation Oncology
• Breast Cancer
• Tumor Microenvironment
• +۵ مورد دیگر

Carmen Bergom, MD, PhD, is an Associate Professor of Radiation Oncology at Washington University School of Medicine (WashU Medicine), where she joined the faculty in 2020. She holds secondary appointments in the Division of Cancer Biology and the Siteman Cancer Center. Her research focuses on leveraging genetic models to improve radiation therapy efficacy while mitigating radiation-induced cardiotoxicity , particularly in breast cancer patients. Key areas include radiation biology , tumor microenvironment , and cardio-oncology . Recent publications highlight her work in genetic mapping of radiation sensitivity (e.g., rat chromosome 3 variants), innovative imaging techniques (e.g., integrin-targeted PET), and clinical trial design for cardiovascular risk stratification. Her laboratory has pioneered the first genetic studies of radiation-induced cardiac dysfunction. Scientific awards include the Michael Fry Research Award (2021) and recognition as a Top Doctor in America (2018, 2019). She serves as Chair of the ASTRO Science Council Scientific Review Panel and co-chair of the Clinical and Experimental Research in Radiation Oncology meeting at ESTRO. Dr. Bergom treats breast cancer patients clinically and mentors students across all levels (undergraduate to postdoctoral). Her work bridges basic research with clinical applications , aiming to develop biomarkers and therapeutic targets for radiation oncology.

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +۷ مورد دیگر

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

• Artificial Intelligence in Education (AIED)
• User Modeling
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

Professor Judy Kay is a leading academic in Computer Science at the University of Sydney, holding a Chair in Human-Centred Technology Research within the Faculty of Engineering and IT. Her work focuses on designing personalized systems that empower users to control their data, particularly in lifelong learning and health contexts. She leads the Human Centred Technology Research Cluster and is Editor-in-Chief of the International Journal of Artificial Intelligence in Education (IJAIED). Education: Studied at the University of Sydney, inspired to pursue academia due to its multidisciplinary environment and student collaboration opportunities. Research interests include user modeling, scrutable AI systems, and interfaces for personal informatics. Current projects span virtual reality learning environments, health data dashboards, and ethical AI transparency. Her work has led to commercialized technologies like the Personis system. Publications include over 200 peer-reviewed works in top venues like CHI, UbiComp, and AIED conferences. Awards highlight her contributions to computing education and AIED, including the 2023 Lifetime Achievement Award. Advises 4 current PhD/Master’s students focusing on topics like Open Learner Models in VR and health decision-making tools. Collaborates with multidisciplinary teams across computer science, health sciences, and education. Labs/Teams: Leads research groups in the School of Computer Science and collaborates with the Charles Perkins Centre on health-related projects.

Teemu Roosمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۶ مورد دیگر

Teemu Roos is a Professor at the Department of Computer Science , University of Helsinki , and a Principal Investigator for the Complex Systems Computation Group under the Helsinki Institute for Information Technology. He serves as a Supervisor for the Doctoral Programme in Computer Science and leads multiple research initiatives, including Distributed AI in Supercomputing , AI & Kids , and Generation AI . Dr. Roos also holds a Docent title in Computer Science. His research spans Artificial Intelligence , Machine Learning , and Data Science , with a focus on AI education , graph neural networks , Bayesian modeling , and health informatics . He has pioneered tools like Elements of AI , a free online course now translated into 22 EU languages, and explores the ethical implications of AI-generated content in authorship and inventorship. The 15 most recent publications highlight applications in environmental forecasting (e.g., Mediterranean Sea via graph-based deep learning), healthcare (e.g., skin cancer detection with transfer learning), and social media analysis (e.g., explainable AI platforms for K-12 education). Methodologically, his work advances clustering algorithms , dimensionality reduction , and approximate nearest neighbor search . Scientific Awards: Cor Baayen Award (2009) Nokia Foundation Recognition Award (2019) Best Paper Honorable Mention Award (2013) ICT Influencer of the Year 2019 (Vuoden TiVi-vaikuttaja 2019) World Summit AI's Top-50 Innovators in 2020 Dr. Roos has supervised 2 doctoral students and contributed to 163 academic activities , including invited talks at MIT, University of Cambridge, and the Finnish Institute in Rome. He has secured funding from the Academy of Finland and the Strategic Research Council, focusing on projects like Fast AI-assisted Space Environment Prediction and Urban Exerciser .

• Extreme Environmental Physiology
• Human Adaptation to Stressful Environments
• Environmental Health
• +۳ مورد دیگر

Edward Ashworth is a Postdoctoral Research Associate at the Sydney School of Health Sciences, University of Sydney. He is affiliated with the Thermal Ergonomics Laboratory and the Heat and Health Research Incubator. His research focuses on human adaptations to extreme environments, including heat, altitude, hyperbaric conditions, and space-related stressors. Key projects include improving sleep quality in hot environments and enhancing physical work capacity for outdoor workers. Edward's research interests span environmental physiology, with a focus on thermal tolerance, radiation injury mitigation, and the physiological effects of extreme conditions. He has contributed to studies involving nitrogen kinetics tracking using PET imaging, hyperbaric oxygen therapy, and robotic surgery applications. Awards: Young Investigator Award (2023), Art of Science Contest 1st Prize (2024), Australia Space Biology Summit 1st Place (2022), and Sporting Blue (Auckland University of Technology). Associations: The Physiological Society and American Physiological Society. His work integrates clinical trials, statistical research design, and translational approaches to address challenges in environmental health, cardiovascular disease, and healthy ageing. Current projects aim to optimize thermal tolerance strategies for military and occupational settings.

• Physical Activity Epidemiology
• Public Health
• Cardiometabolic Health
• +۴ مورد دیگر

Emmanuel Stamatakis is a Professor of Physical Activity, Lifestyle, and Population Health at the University of Sydney's School of Health Sciences (Faculty of Medicine and Health). He holds NHMRC Leadership Fellowships (2021-2025 and 2026-2030) and leads the Charles Perkins Centre's Physical Activity & Exercise Theme. His research focuses on lifestyle behaviors' impacts on cardiometabolic conditions, cancer, and cardiovascular health, using large-scale cohort studies and wearable device data. Key roles include directing the Mackenzie Wearables Research Hub and co-chairing WHO's Physical Activity Guidelines Development Group. Education: PhD from University of Bristol (2003), post-doctoral training at University College London. He leads the ProPASS consortium, involving 45 cohorts with wearable data. Over 460 peer-reviewed publications, including Clarivate's Highly Cited list since 2019. Research interests integrate physical activity, sedentary behavior, and sleep analytics with clinical outcomes. Current projects explore wearables-based measurement innovations, SPAN (sleep-physical activity-nutrition) synergies, and intervention designs for GLP-1 receptor agonist users. Recent articles emphasize VILPA (vigorous intermittent lifestyle physical activity) benefits, sleep-cardiovascular links, and multimodal lifestyle optimization. Awards include Australia's Top Researcher in Sports Medicine and multiple NHMRC grants. Supervises PhD projects on physical activity measurement and intervention design. Active in 50+ peer-reviewed journals and national/international funding bodies.

• Microbiomics
• Genomics
• Complex Diseases
• +۴ مورد دیگر

Elin Org is a Professor of Microbiomics at the University of Tartu's Institute of Genomics, where she also serves as Head of the Estonian Genome Centre and Vice Director of the Institute. Her academic career spans over two decades with significant contributions to microbiome and genomic research. Education: PhD in Genetics, University of Tartu (2006) Master's Degree in Molecular Biotechnology and Biomedicine, University of Tartu (2000) Bachelor's Degree, University of Tartu (1997) Classical Singing, Heino Eller Tartu Music School (1996) Professor Org's research primarily focuses on the intricate relationships between host and gut microbiota and their influence on metabolism and common complex diseases. Her work bridges microbiomics, genomics, and complex disease research, with particular emphasis on understanding how gut microbiome composition affects human health. She has pioneered research connecting long-term antibiotic usage with microbiota-dependent effects and has made significant contributions to understanding the role of gut microbiome in conditions such as gestational diabetes, endometriosis, and polycystic ovary syndrome. Her approach integrates advanced computational methods with comprehensive health data to uncover causal relationships in microbiome research. Her recent publications demonstrate a strong trend toward integrating microbiome data with extensive digital health metrics, using machine learning approaches to identify microbial predictors of health outcomes. This work is increasingly focused on translating microbiome research into clinical applications for disease prediction and personalized medicine approaches, particularly in the context of the Estonian Biobank initiative. Major Scientific Recognition: 2025 National Science Award in medical and health sciences 2023 and 2022: Recognized among the world's top 1% most cited researchers by Clarivate Analytics 2020: Member of AcademiaNet, a portal for top female researchers 2017: EMBO Installation grant 2013: Marie Curie International Outgoing Fellowship Professor Org has secured substantial research funding as principal investigator for multiple significant projects, including 'DISCERN - Discovering the causes of three poorly understood cancers in Europe' (€245,466, European Commission) and 'Improving colorectal cancer screening and prediction using microbiome-based biomarkers' (€760,450, Estonian Research Council). She has served as an opponent for numerous PhD theses across European institutions, contributing to the development of emerging researchers in her field. As Head of the Estonian Genome Centre, Professor Org leads a multidisciplinary research team that plays a crucial role in Estonia's transition from biobanking to personalized medicine applications. She is actively involved in international collaborations through COST networks including INFOGUT (focused on in vitro colon models) and ML4Microbiome (statistical and machine learning techniques in human microbiome studies), positioning her at the forefront of global microbiome research initiatives.

Nicole C. Riddleمشاهده پروفایل

استاد

• Epigenetics
• Chromatin Structure
• Drosophila melanogaster
• +۳ مورد دیگر

Nicole C. Riddle is a Professor and Associate Chair for Research and Facilities in the Department of Biology at the University of Alabama at Birmingham (UAB). She holds a B.S. in Biology from the University of Missouri Columbia and a Ph.D. in Evolutionary and Population Biology from Washington University in St. Louis. Her research focuses on epigenetics and chromatin dynamics, particularly in the context of aging and sex differences using Drosophila melanogaster as a model system. Dr. Riddle's work explores how epigenetic mechanisms influence lifespan, genome stability, and phenotypic variation. She has pioneered the use of Drosophila to study exercise-induced physiological changes and their genetic underpinnings. Her lab investigates the roles of HP1 proteins in transcriptional regulation and chromatin organization, with recent studies emphasizing cross-species comparisons of aging mechanisms. Her research has been supported by grants including the BII: IISAGE project on sex-specific aging mechanisms. Notable contributions include developing novel tools like the Rotating Exercise Quantification System (REQS) to measure Drosophila activity levels. Dr. Riddle actively mentors students and postdoctoral researchers, inviting inquiries via riddlenc@uab.edu to join her lab.

Joshua D. Rabinowitzمشاهده پروفایل

استاد

• Cellular Metabolism
• Metabolomics
• Systems Biology
• +۵ مورد دیگر

Joshua D. Rabinowitz is a Professor of Chemistry and the Lewis-Sigler Institute for Integrative Genomics at Princeton University, where he also serves as Director of the Ludwig Princeton Branch. His research focuses on achieving a quantitative, comprehensive understanding of cellular metabolism, with applications in both basic science and medical research. Dr. Rabinowitz's research interests span multiple areas of metabolism and systems biology: Quantitative analysis of metabolic networks and regulation Metabolomics and measurement of metabolite concentrations and fluxes Cancer cell metabolism and therapeutic targeting Metabolic regulation in microbes (E. coli, Saccharomyces cerevisiae) Biofuel production (focusing on Clostridium acetobutylicum) Metabolic impact of pathogen infection (viral infection of human cells) His laboratory has developed innovative methods for measuring cellular metabolites using state-of-the-art mass spectrometry technology and approaches for quantitating metabolic fluxes through isotope-labeling data interpretation. Analysis of recent publications reveals a strong focus on NAD+ metabolism, cancer metabolism, metabolic adaptations in disease states, and the intersection of metabolism with immunology and neuroscience, particularly in areas like T cell metabolism, Alzheimer's disease, and cardiac function. Dr. Rabinowitz has received recognition as a Highly Cited Researcher by Web of Science, indicating significant impact in his field. He advises several graduate students and has mentored numerous alumni, including Michel I. Nofal, Edmundo Leiva III, and Sean Hackett. His research is supported by multiple programs including NIH NHGRI Training Program and QCB Graduate Program. The Rabinowitz Lab operates at the intersection of chemistry, biology, and computational science, with all projects involving a mix of biological experiments, metabolomics, and computation to achieve their goal of a holistic understanding of cellular metabolism.

• Skeletal Muscle Growth
• Ribosome Biogenesis
• Exercise Physiology
• +۴ مورد دیگر

Gustavo Nader, Ph.D., is a Professor of Kinesiology at The Pennsylvania State University's College of Health and Human Development, where he holds the Dorothy Foehr Huck and J. Loyd Huck Endowed Chair in Molecular, Cellular and Integrative Physiology. His research laboratory at 101 Noll Lab focuses on molecular mechanisms of skeletal muscle adaptation, employing human, animal, and cellular models to investigate ribosome biogenesis, transcriptional regulation, and muscle growth control in contexts ranging from exercise hypertrophy to cancer cachexia. Dr. Nader's research examines fundamental processes including: Ribosome biogenesis and its role in muscle growth regulation Epigenetic control of RNA Polymerase I activity Molecular pathways in mechanical overload-induced hypertrophy Tumor-induced muscle wasting mechanisms Biomimicry approaches inspired by hibernator physiology His work spans exercise physiology, cancer biology, and environmental stress responses. Analysis of his 15 most recent publications (2015-2025) reveals predominant themes in muscle hypertrophy mechanisms, cancer cachexia pathophysiology, ribosomal function analysis, and environmental stress impacts on muscle. His work consistently integrates molecular techniques with physiological models across species. Notable scientific recognitions include: Dorothy Foehr Huck and J. Loyd Huck Chair appointment (2024) Huck Institutes Leadership Fellowship (2025-2026) Dr. Nader leads an active research team investigating muscle plasticity, with current projects funded through the Huck Institutes of the Life Sciences. He collaborates extensively through Penn State's Integrative and Biomedical Physiology graduate program and Center for Cellular Dynamics.

Igor Jurisicaمشاهده پروفایل

استاد

• Data Science and Computational Biology
• Machine Learning
• Artificial Intelligence
• +۶ مورد دیگر

Igor Jurisica is a Professor at the University of Toronto and a Senior Scientist at the Krembil Research Institute’s Data Science Discovery Centre for Chronic Diseases. He also serves as Visiting Scientist at IBM CAS, Scientific Director of the World Community Grid, and Chief Scientist at the Creative Destruction Lab (Rotman School of Management). His research focuses on integrative computational biology, data mining, and AI-driven models for cancer mechanisms, drug discovery, and chronic disease management. Key affiliations include the Osteoarthritis Research Program, Schroeder Arthritis Institute, and leadership roles in open science initiatives like the World Community Grid, a global distributed computing platform with 810,000+ volunteers. Jurisica’s work bridges computational tools (e.g., NAViGaTOR visualization platform, MirDIP databases) and clinical applications, emphasizing explainable AI in healthcare. Research interests span proteomics, microRNA regulation, systems vaccinology, and multi-omics integration for disease stratification. Notable contributions include identifying prognostic signatures in cancer and osteoarthritis, machine learning models for drug repurposing, and sportomics analyses of athletic biomarkers. He has been recognized as a Thomson Reuters Highly Cited Researcher (2014-2016) and ranked among the Top 100 AI Leaders in Oncology (2023). His labs develop open-access tools like PathDIP, OsteoDIP, and miRAnno to advance translational research.

Ali Abbasمشاهده پروفایل

پژوهشگر ارشد

• Public Health Modelling
• Transport Planning
• Active Travel
• +۴ مورد دیگر

Ali Abbas is a Senior Researcher and Methods Fellow at the MRC Epidemiology Unit within the University of Cambridge's School of Clinical Medicine. His academic background includes a PhD in Computer Science from Manchester Metropolitan University, an MSc in Media Informatics from RWTH Aachen University, and a BS in Computer Science from Mohammad Ali Jinnah University. With over two decades of research experience, he specializes in data-driven approaches including exploratory analysis, statistical modelling, and interactive visualization. His core research focuses on developing environmentally sustainable transport systems with positive public health outcomes, particularly through: Agent-based modeling of transport behaviors Cycling infrastructure and active travel interventions Health impact assessment of urban mobility policies Spatial analysis using GIS technologies Complex systems approaches to public health He leads several major research initiatives including the JIBE project (integrating transport and built environment models), GLASST (global health impact assessment), TIGTHAT (integrated global transport-health tool), National Propensity to Cycle Tool, and Impacts of Cycling Tool. His publication portfolio demonstrates consistent focus on transport-health interactions, physical activity epidemiology, and urban health modelling, with recent work emphasizing policy applications and global scalability. As an advocate for open science, he maintains active GitHub repositories of his computational models. He additionally manages junior researchers and contributes to training initiatives within his unit.

Anthony A Gattiمشاهده پروفایل

پژوهشگر ارشد

• Biomechanics
• Medical Imaging
• Machine Learning
• +۷ مورد دیگر

Anthony A Gatti is a Postdoctoral Scholar at Stanford University's Wu Tsai Human Performance Alliance and School of Medicine. His research integrates biomechanics , medical imaging , and machine learning to advance musculoskeletal health diagnostics, particularly focusing on knee osteoarthritis and exercise physiology. Education : Ph.D. in Rehabilitation Science (McMaster University, 2021), M.Sc. in Rehabilitation Science (McMaster University, 2015), B.Sc. in Kinesiology (McMaster University, 2013) His research develops automated tools for quantifying knee anatomy and integrating anatomical data with biomechanical models . These methods analyze acute responses to exercise and long-term joint degeneration, leveraging MRI , deep learning , and statistical shape modeling . Recent publications emphasize AI-driven segmentation , exercise-induced cartilage changes , and biomechanical simulations , spanning journals like Magnetic Resonance in Medicine and Arthritis & Rheumatology . Trends include machine learning validation for clinical predictions and open-source tool development for musculoskeletal analysis. Scientific Awards : CIHR Postdoctoral Fellowship (top 1%), Mitacs Accelerate Entrepreneur, Forge Student Start-Up Competition Winner, multiple scholarships from McMaster University He founded NeuralSeg , a company commercializing deep learning-based MRI segmentation technology. Collaborations include Stanford's Digital Athlete Moonshot Project with advisors like Scott Delp and Garry Gold.