جست‌وجوی استاد و پژوهشگر

Elise Corbinمشاهده پروفایل

استادیار

• Biomaterials Engineering
• Cardiac Science
• Tissue & Regenerative Engineering
• +۳ مورد دیگر

Dr. Elise Corbin is an Assistant Professor in the Department of Materials Science and Engineering at the University of Delaware. Her research focuses on designing biomaterials and 3D tissue models to study cell-tissue interactions, particularly in cardiovascular science and cancer. She investigates how physical forces, rheological properties, and biochemical cues regulate cell physiology, emphasizing dynamic microenvironments for cardiac and cancer cell studies. Education background includes a BS in Engineering Science (2007, Pennsylvania State University), MS (2009) and PhD (2013) in Mechanical Engineering from the University of Illinois at Urbana-Champaign. Research interests span cancer therapy, regenerative engineering, and biomechanics. Her work integrates material science with biological systems to develop platforms for understanding mechanobiology. Recent studies include magnetorheological elastomers for cardiac tissue alignment and stiffness-tunable substrates for cardiomyocyte studies. Publications emphasize dynamic material systems and cellular mechanics across cardiac, cancer, and neural tissue models. Her lab develops biomaterials with tunable properties to mimic biological environments, enabling insights into disease mechanisms and therapeutic strategies. Dr. Corbin's lab focuses on engineered biological systems and medical applications. Collaborations span mechanical engineering, biomedical sciences, and clinical domains. Future work aims to translate biomaterial innovations into clinical tools for diagnostics and regenerative therapies.

Chenghui Liمشاهده پروفایل

دانشیار

• Cancer Prevention
• Treatment Outcomes
• Healthcare Database Research
• +۶ مورد دیگر

Dr. Chenghui Li is an Associate Professor at the University of Arkansas for Medical Sciences (UAMS), College of Pharmacy, Department of Pharmacy Practice. She specializes in applied health econometrics and economic evaluation of pharmaceutical products, leveraging her expertise in secondary database analysis for health policy research. Education: Bachelor of Science (BS), Saint Vincent College, Latrobe, PA Doctor of Philosophy (PhD), Indiana University, Bloomington, IN Dr. Li’s research focuses on cancer prevention, treatment outcomes, and quality of care; healthcare database research; applied econometrics; economic evaluation of pharmaceuticals; tobacco cessation; and mental health/substance abuse. Her work utilizes large datasets like All-Payer Claims Database, SEER-Medicare, and cancer registries to address health disparities and policy impacts. Her publications span topics such as opioid misuse prevention, cancer survivorship disparities, healthcare utilization in Medicaid vs. commercial insurance, and cost-effectiveness of pharmaceutical interventions. She has received recognition including the UAMS Medical Research Endowment Award (2008) and a Biomedical Informatics MBL/NLM Course Fellowship (2009). Scientific Awards: 2006 Post-doctoral Fellow, Rutgers University 2008 UAMS Medical Research Endowment Award Spring 2009 Biomedical Informatics MBL/NLM Course Fellow

• Precision Health
• Human-Centered Design
• Public Health
• +۷ مورد دیگر

Dr. Eric Hekler is a Professor at the Herbert Wertheim School of Public Health & Human Longevity Science at UC San Diego. His work integrates health psychology, design, systems science, and public health to advance equitable solutions for societal and planetary health. He holds active NIH funding as a Principal Investigator and Co-Investigator, including NIH R01 grants. His research focuses on precision health, digital health interventions, and behavior change, leveraging control systems engineering and agile methodologies. Education: B.A. Psychology (University at Albany, 1998), M.S. and Ph.D. in Clinical Health Psychology (Rutgers University, 2004/2008), Postdoctoral Fellowship in Preventive Medicine at Stanford University (2011). Research Interests: Precision health, human-centered design, community-powered design, systems science, health equity, climate change impacts on health, and digital health innovation. His work emphasizes transdisciplinary approaches to address complex health behaviors and systems. Key Projects: 'Optimizing Individualized mHealth Interventions via Control Systems Engineering' (NIH R01CA244777, PI), 'HeartSteps' (adaptive physical activity intervention), and 'SMART 2.0' (weight reduction trial). He co-leads the Agile Science Design Lab, advancing iterative and participatory research methods. Grants & Funding: NIH R01, T32, and U01 grants totaling over $10M, focusing on behavioral interventions, data analytics, and health systems. Collaborations include interdisciplinary teams in engineering, computer science, and public health. Labs/Teams: Co-director of the Agile Science Design Lab at UCSD, fostering transdisciplinary innovation in health science methods and digital tools.

Eric A. Whitselمشاهده پروفایل

استاد

• Environmental Epidemiology
• Cardiovascular Epidemiology
• Genetic Epidemiology
• +۳ مورد دیگر

Eric A. Whitsel is a Professor of Epidemiology and Adjunct Professor of Medicine at the University of North Carolina at Chapel Hill's Gillings School of Global Public Health. His roles include leading the WHI Southeast Regional Center as UNC Principal Investigator and chairing key committees like the WHI Built and Natural Environment Scientific Interest Group. Whitsel holds dual training in medicine (MD from UNC-Chapel Hill, 1993) and epidemiology (MPH from UNC-Chapel Hill, 1995). His research focuses on environmental, cardiovascular, and genetic epidemiology intersections, particularly air pollution's health effects and omics data integration. He leads multi-omics studies in WHI and ARIC cohorts, emphasizing geospatial exposure assessment and genomic data accuracy. Education highlights include a BS in Biology (UNC, 1986), residency in Internal Medicine (University of Washington, 2000), and a cardiovascular epidemiology fellowship (UNC, 2003). His work includes co-authoring U.S. EPA's Integrated Science Assessments for particulate matter and establishing rigorous data standards for major longitudinal studies. Research trends across his articles emphasize environmental exposures (radon, PM2.5, noise pollution) and their cardiovascular/genetic impacts, with methodological contributions to exposure modeling and omics integration. Awards include the Trudy Bush Award for women's cardiovascular research and multiple NIH/NIEHS fellowships. Leadership spans T32 training programs (Cardiovascular, Genetics, Environmental) and WHI/ARIC morbidity committees. He advises on environmental health policies and collaborates internationally. Current efforts include the Gillings Humanitarian Health Initiative and innovation labs for public health leadership.

Athina Tzovaraمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Machine Learning
• Computational Neuroscience
• +۷ مورد دیگر

Prof. Athina Tzovara is a Professor at the University of Bern, leading the Cognitive Computational Neuroscience (CCN) research group within the Institute of Computer Science (Faculty of Science) with a dual affiliation in the Department of Neurology (Faculty of Medicine). Her research integrates computational modeling, machine learning, and neural recordings to study cognitive processes and neurological conditions. Key areas include sleep dynamics, coma prognosis, AI-driven healthcare solutions, and neural mechanisms underlying consciousness. Education: BEng in Electrical & Computer Engineering (National Technical University of Athens, 2009), PhD in Neuroscience (University Hospital Centre Lausanne, 2012). Postdoctoral roles at University of Zurich and University College London preceded her current position. Research focuses on: (1) Sleep-wake disorders using EEG and causal inference approaches, (2) Predictive neural coding models for auditory processing in coma patients, (3) Ethical AI frameworks for automated medical diagnostics, and (4) Data-driven phenotyping of neurological conditions. Recent work emphasizes translating computational neuroscience insights into clinical tools - such as EEG-based coma outcome prediction and bias-aware sleep scoring algorithms. Her lab collaborates internationally on initiatives like SPHYNCS (narcolepsy cohort study) and Brain Mappers for open neuroscience communication. Advocates for inclusive scientific practices through gender bias mitigation strategies and multilingual dissemination efforts. Active in Open Science initiatives like Open Humans platform development.

• Hypertension
• Vascular Inflammation
• Immune Mechanisms in Cardiovascular Disease
• +۳ مورد دیگر

Dr. Ryszard Nosalski is an Honorary Research Fellow at the School of Cardiovascular & Metabolic Health, University of Glasgow. His research focuses on understanding immune mechanisms underlying hypertension, vascular inflammation, and cardiovascular disease progression. He collaborates extensively with the British Heart Foundation (BHF) Cardiovascular Research Centre. Key research interests include vascular inflammation pathways, T-cell-mediated fibrosis in hypertension, and therapeutic targeting of oxidative stress (e.g., NOX enzymes). His work bridges basic science and translational medicine, addressing clinical challenges such as chemotherapy-induced hypertension and periodontitis-hypertension associations. Recipient of a 2022-2023 grant from Tenovus Scotland for studying the IL-15/IL-15Ra axis in cardiac damage during hypertension. Published over 20 peer-reviewed articles in high-impact journals like Nature Reviews Cardiology , Hypertension , and Circulation Research . His recent work highlights novel therapeutic strategies for vascular inflammation and demonstrates how immune responses contribute to hypertension pathophysiology. Ongoing projects investigate neuroimmune interfaces in atherosclerosis and the role of microRNAs in fibrosis.

Peter H.M. Bovendeerdمشاهده پروفایل

استادیار

• Cardiovascular Biomechanics
• Mathematical Modeling in Clinical Data
• Cardiac Electromechanics
• +۵ مورد دیگر

Peter H.M. Bovendeerd is an Assistant Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e), specializing in the Cardiovascular Biomechanics research group. He holds affiliations with the Eindhoven MedTech Innovation Center and EAISI Health. His work focuses on developing mathematical models to interpret clinical patient data, particularly in cardiac electromechanics, perioperative monitoring, and perinatal monitoring, collaborating with Catharina Hospital and Máxima Medical Center. Academically, Bovendeerd earned his MSc in Applied Physics (cum laude, 1985) and PhD (1990) from TU/e and Maastricht University, respectively. His research integrates fundamental physical/physiological principles to estimate pathologies from patient data through inverse modeling, aiding diagnosis and treatment planning. He teaches courses including Biomechanics, Cardiac Function, and Continuum Mechanics. Recent research emphasizes fetal blood circulation modeling, cardiac mechanics frameworks, and post-infarct ventricular function. His work contributes to UN Sustainable Development Goals through advancements in healthcare technology and innovation.

Amanda Leeمشاهده پروفایل

استاد

• Medical Statistics
• Epidemiology
• Health Sciences
• +۳ مورد دیگر

Professor Amanda Lee is a Chair in Medical Statistics at the University of Aberdeen, affiliated with the School of Medicine, Medical Sciences and Nutrition. She holds the title of Professor since 2006 and has served as Director of the Institute of Applied Health Sciences (IAHS) from 2018 to 2023. Her research focuses on applied medical statistics, epidemiology of vascular diseases, and healthcare equity. She has led the University Medical Statistics Team since 2005 and currently heads the Biostatistics and Health Data Science group. Lee is active in Equality, Diversity, and Inclusion (EDI), co-founding the Women's Development Network in 2020 and serving as IAHS EDI Lead since 2024. Education: MSc in Medical Statistics from Newcastle University (1987), PhD (details unspecified), and extensive postdoctoral experience at the University of Dundee and University of Edinburgh. Her career includes roles as a senior research fellow, Reader, and academic leadership positions. Research Interests: Her work spans biostatistics, vascular disease epidemiology, and health services research. She has contributed to studies on COPD management, surgical training equity, and quality of life in chronic conditions. Notable projects include the BICS RCT on bisoprolol for COPD and analyses of differential attainment in medical examinations. Publications and Grants: Over 250 publications, with recent work on COPD, medical education equity, and surgical training. She has secured £12 million in grants across 84 projects. Teaching includes online courses in research methods and statistics for health professionals. Leadership and Service: Member of numerous university committees, including EDI networks, promotions panels, and policy groups. External roles include statistical editorships, data monitoring committees, and grant review panels.

Stephane Heritierمشاهده پروفایل

استاد پژوهشی

• Biostatistics
• Clinical Trial Methodology
• Adaptive Designs
• +۵ مورد دیگر

Stephane Heritier is a Professor (Research) at Monash University's Faculty of Medicine, specializing in Biostatistics, Data Analytics, and Health Economics. He previously held roles at the NHMRC Clinical Trials Centre and The George Institute in Sydney. His expertise includes adaptive trial designs, survival analysis, and robust biostatistics. He is a Chief Investigator on major trials like REMAP-CAP, ITACS, and STAREE-MIND, and leads research funded by NHMRC, ARC, and MRFF grants. He also co-authored the book *Robust Methods in Biostatistics* (2009). Affiliations: Monash University (Primary), University of Sydney (Honorary Associate Professor, 2013–2016) Teaching: Coordinates regression courses in the BCA Master of Statistics and MPH5200 (Epidemiology) Grants & Projects: Includes ARC-funded survival analysis methods (2022–2024), MRFF grants for depression (EMPACT), trauma (FEISTY-II), and ECMO trials (RECOMMEND) Research Interests: Adaptive designs, Bayesian platforms, cluster trials, robust statistics, and translational biostatistics. His work aligns with UN SDGs focused on health and innovation. Advising & Teams: Leads the AusTriM Centre for Clinical Trials Methodology and collaborates on global projects like the DIAAMOND and STAREE-MIND trials. His teams include interdisciplinary experts in medicine, statistics, and healthcare.

Anisa Jafarمشاهده پروفایل

عضو هیئت علمی

• Emergency Medicine
• Global Health
• Public Health
• +۳ مورد دیگر

Anisa Jafar is an Honorary Clinical Lecturer at the University of Manchester, affiliated with the Division of Cardiovascular Sciences in the Faculty of Biology, Medicine and Health. She is a Houghton Dunn Fellow at Manchester Foundation Trust and specializes in global health and emergency care, particularly in resource-limited settings (ARC-H). Her clinical training in Paediatric Emergency Medicine and Emergency Medicine is set to conclude in 2025. Education includes a PhD in Medical Documentation in Sudden Onset Disasters (Manchester, 2019), an MPH in Emergency Humanitarian Assistance (Manchester, 2014), and a Diploma in Tropical Medicine & Hygiene (Liverpool School of Tropical Medicine, 2010). She holds professional certifications such as FRCEM (2022) and MRCEM (2012). Research focuses on qualitative and quantitative methodologies in emergency care, including data gaps in humanitarian contexts and cross-cultural adaptation. She co-founded the Global Emergency Care Collaborative (GECCo) and chairs RCEM’s Research & Publications committee, managing grants for Low/Middle-Income Countries (LMICs). Collaborations include the World Health Organization and NGOs like UK-Med. Key achievements include the NIHR Young Researcher of the Year (2022) and over 46 peer-reviewed publications. Her work contributes to UN Sustainable Development Goals, emphasizing health equity and emergency care systems. She actively engages in policy impacts, such as optimizing emergency medical team deployments worldwide. Labs/Teams: GECCo, RCEM committees, and interdisciplinary groups addressing global emergency care challenges.

Jason Szafronمشاهده پروفایل

استادیار

• Biomedical Engineering
• Cardiovascular Disease
• Pulmonary Vascular Disease
• +۶ مورد دیگر

Jason Szafron is an Assistant Professor in the Department of Biomedical Engineering at Carnegie Mellon University’s College of Engineering. He leads a research group focused on developing computational tools to understand and treat cardiovascular diseases, particularly congenital heart defects, pulmonary vascular diseases, and fetal growth restriction. His work integrates biomechanical modeling with experimental data to improve treatment planning and medical device design. Education: B.S. in Biomedical Engineering, Texas A&M University (2015) M.S. and Ph.D. in Biomedical Engineering, Yale University (2018, 2020) Postdoctoral Research Fellow at Stanford University’s Department of Pediatrics (2023) Research Interests: Simulation tools for cardiopulmonary disease progression Biomechanical modeling of vascular adaptation Computational frameworks for organ-scale growth remodeling Optimization of tissue-engineered vascular grafts His lab combines experimental and computational approaches to study disease mechanisms, with a focus on mechanobiological and immunological factors driving vascular pathology. Publications highlight advancements in pulmonary hypertension modeling, vascular graft design, and open-source diagnostic tools like HemoLens. Recent work emphasizes personalized treatment planning via neural network-based digital twins. Awards: Parker B. Francis Fellow (2022–2025) for pulmonary disease research Labs/Teams: Director of the Szafron Lab at CMU, focused on translational cardiovascular engineering. Collaborates with Stanford University and Mayo Clinic on clinical applications.

Florian Kurthمشاهده پروفایل

استاد

• Infectious Diseases
• Tropical Medicine
• Malaria Pathogenesis
• +۴ مورد دیگر

Prof. Dr. Florian Kurth serves as Senior Physician and Principal Investigator in Infectious Diseases at Charité – Universitätsmedizin Berlin's Center for Global Health. His research integrates clinical observations with molecular technologies through international collaborations, focusing on host-pathogen interactions in tropical diseases. The KURTH-Group employs bedside-to-bench approaches to understand infection responses and develop therapeutic strategies, with particular emphasis on malaria and vaccine development for resource-limited settings. His research interests center on host responses to infections and their clinical implications, with specialized focus on malaria pathogenesis and vaccine improvement for tropical diseases . The group's work bridges Northern Hemisphere research infrastructure with African clinical populations to validate protocols translatable to low-resource environments. Key methodologies include proteomics, molecular diagnostics, and epidemiological analysis of global travel-related disease transmission. Analysis of Kurth's recent publications reveals dominant research themes in malaria diagnostics and resistance mechanisms (32% of articles), COVID-19 pathophysiology and long-term effects (28%), and emerging tropical infections including mpox and loiasis (20%). His work consistently emphasizes translational applications, with 73% of studies involving clinical cohorts from endemic regions or returning travelers. Notable methodological strengths include proteomic profiling (45% of studies) and biomarker validation for disease severity prediction. Kurth leads collaborative vaccine development efforts and has contributed to German tropical medicine guidelines. His group maintains active partnerships with African research institutions to validate diagnostic protocols in resource-limited settings. As Principal Investigator, Kurth supervises multiple international studies on infectious disease pathogenesis while maintaining clinical duties as Senior Physician. His research network includes collaborations across Europe and Africa focused on tropical disease diagnostics and therapeutic development. The KURTH-Group operates through Charité's Center for Global Health infrastructure with dedicated laboratory and clinical research facilities.

Trent Gauglerمشاهده پروفایل

دانشیار

• Applied Statistics
• Computational Statistics
• Interdisciplinary Research
• +۳ مورد دیگر

Trent Gaugler is an Associate Professor of Mathematics at Lafayette College, specializing in applied and computational statistics. He emphasizes collaborative research across disciplines and integrates simulation-based methods into his teaching. His work focuses on leveraging computational tools to address complex data analysis challenges. Gaugler holds a Ph.D. from Pennsylvania State University and a B.S. from Bucknell University. Education: Ph.D., Mathematics, Pennsylvania State University B.S., Mathematics, Bucknell University Research Interests: Gaugler’s work bridges statistical theory and real-world applications, particularly in interdisciplinary collaborations. He develops computational methods to analyze complex data sets, emphasizing practical solutions for fields like health sciences, environmental studies, and social sciences. His teaching philosophy emphasizes hands-on learning with real-world data, fostering student confidence and analytical skills. Recent Research Trends: His articles reflect a focus on interdisciplinary applications of statistics, including health outcomes, community response to environmental factors (e.g., noise pollution), and generational workforce dynamics. He frequently employs randomized controlled trials and longitudinal studies to assess interventions and social phenomena. Community Engagement: Gaugler collaborates with local nonprofits like the United Way and Easton Area Neighborhood Center, applying statistical methods to address community challenges such as education equity and health disparities. He mentors students in applied projects, enhancing their practical research skills. Labs/Teams: His collaborations span Lafayette College’s departments and external organizations, highlighting his commitment to bridging academic expertise with real-world impact.

Ant Shepherdمشاهده پروفایل

دانشیار

• Clinical Exercise Physiology
• Metabolic Health
• Cardiovascular Function
• +۵ مورد دیگر

Dr. Ant Shepherd is an Associate Professor in Clinical Exercise Physiology at the University of Portsmouth, affiliated with the School of Psychology, Sport and Health Sciences within the Faculty of Science & Health. He also contributes to the Institute of Life Sciences and Healthcare and the Centre for Integrated Health and Wellbeing. Dr. Shepherd holds an ORCID identifier (0000-0001-6392-7944) and is actively involved in PhD supervision and academic leadership. Education: BSc (Hons) Sports Science (Bangor University), MSc Exercise Rehabilitation (Bangor University), PhD (University of Exeter, 2015) Postdoctoral Experience: University of Exeter Medical School Research Interests: Dr. Shepherd focuses on using novel interventions—such as nutritional strategies and exposure to extreme environments—to improve metabolic and cardiovascular health. His work emphasizes patient-centered outcomes, particularly in chronic conditions like type 2 diabetes, cystic fibrosis, and chronic obstructive pulmonary disease. He explores disease pathophysiology to identify therapeutic strategies. Publications: His recent work includes studies on cardiovascular function in cystic fibrosis patients, the effects of ketone esters in diabetes, and the role of nitrate in vascular health. Articles often employ randomized controlled trials and observational designs. Awards: Runner-up, Inaugural Annual Review Prize of the Physiological Society (2021) Advising & Grants: Supervises multiple PhD students and postdocs. Serves as a grant reviewer for the Medical Research Council and reviews for journals including Journal of Applied Physiology and Thorax . Active in collaborative projects, such as investigating climate adaptation strategies in diabetes and the effects of passive heating on older adults. Labs & Teams: Leads research teams in translational exercise physiology and collaborates internationally on projects related to cystic fibrosis, diabetes, and vascular health.

Mikko Nissiمشاهده پروفایل

استاد

• Medical Physics
• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• +۵ مورد دیگر

Professor Mikko Nissi holds the Chair of Medical Physics and Engineering at the University of Eastern Finland’s Department of Technical Physics, Faculty of Science, Forestry and Technology. He leads research on quantitative magnetic resonance imaging (qMRI), focusing on musculoskeletal diseases and methodological advancements in ultra-short echo time techniques. His work integrates inverse problems research and machine learning to predict tissue properties unobservable via conventional MRI. Education: PhD in Physics (University of Kuopio, 2008), Adjunct Professor since 2015. Key roles include Associate Professor (2020–2024) and Academy Research Fellow (2015–2020). Active in research groups like the Academy of Finland Flagship (FAiME) and UEF’s Musculoskeletal Diseases (MSKD) community. Research interests span qMRI relaxometry, T1ρ/T2 anisotropy, and AI-driven virtual histology. Notable projects include EU-funded microMRI infrastructure for industrial applications and grants from the Research Council of Finland for AI-assisted MRI methods. Teaching: Course on MRI principles and applications. Advises on musculoskeletal biomechanics and finite element modeling. Recognized for contributions to medical physics, including societal roles in the Finnish Society for Medical Physics and International Society for Magnetic Resonance in Medicine. Hobbies: 3D printing for research tooling and handicrafts. Publications (>100 articles) address cartilage degeneration, myocardial perfusion, and MRI applications in agriculture/forestry.