جست‌وجوی استاد و پژوهشگر

Emma Magavernمشاهده پروفایل

عضو هیئت علمی

• Pharmacogenomics
• Genomic Medicine
• Clinical Pharmacology
• +۳ مورد دیگر

Dr. Emma Magavern is a Clinical Lecturer and Clinical Pharmacology specialist at Queen Mary University of London's Faculty of Medicine and Dentistry, affiliated with the William Harvey Research Institute. She holds a unique academic-clinical position, splitting her time 50% between clinical work and research. Her PhD in pharmacogenomics explored genetic influences on drug response, and she now focuses on leveraging genomic medicine to address health disparities. Key roles include co-secretary of the Royal College of Physicians/British Pharmacological Society pharmacogenomics working group and co-lead for the NHS England Pharmacogenomics Network of Excellence. She also chairs the British Pharmacological Society SpR Committee and contributes to the Health Education England GeNotes initiative. Education: BA in English, MD, MSc in Bioethics, MSc in Genomics Research: Investigates how genetic variants affect medication efficacy/safety, particularly in underrepresented groups like British South Asians. Recent work highlights CYP2C19 variants reducing clopidogrel effectiveness in this population. Public Engagement: Develops patient/prescriber resources, surveys public attitudes on pharmacogenomics, and advocates for inclusive genomic medicine practices. Her research emphasizes translating genetic insights into clinical practice to improve personalized medicine while ensuring equitable access. Collaborators include Prof. Mark Caulfield and Prof. Damian Smedley, with funding from Barts Charity and the NIHR Biomedical Research Centre.

• Biomedical Signal Processing
• Cardiac Electrophysiology
• Sleep Disorders Research
• +۳ مورد دیگر

Associate Professor Mathias Baumert is affiliated with the University of Adelaide, where he holds a position in the School of Electrical and Mechanical Engineering under the Faculty of Sciences, Engineering and Technology. He leads the Health Technology research theme in the School of Electrical Electronic Engineering and specializes in biomedical signal processing, focusing on dynamic electrocardiography and sleep-related phenomena. His work integrates clinical applications and technological advancements to address challenges in cardiology and sleep disorders. His research interests include the physiological underpinnings of ventricular repolarization variability and its clinical implications, particularly in post-myocardial infarction patients and those with sleep-disordered breathing. He also develops brain-computer interface (BCI) systems for stroke rehabilitation, leveraging real-time EEG analysis and motor function recovery techniques. Collaborations with clinical partners such as the Women’s and Children’s Hospital, Adelaide Institute of Sleep Health, and the Victor Chang Cardiac Research Institute highlight his translational research focus. His recent articles emphasize signal processing applications for risk stratification in cardiovascular disease, sleep apnea, and diabetes. Key themes include nocturnal hypoxemic burden prediction, REM sleep dynamics, and the development of novel diagnostic markers using ECG and EEG data. His work often bridges engineering and medicine, aiming to translate findings into clinical tools like adaptive servo-ventilation treatment optimization and personalized BCI systems. No scientific awards or fellowships are explicitly listed in the provided texts. He is eligible to supervise Masters and PhD students but current advisee names are not available. His research projects are supported by grants such as ARC DP110102049 (as noted in some articles). He teaches courses including Biomedical Instrumentation and Introduction to Medical Technology . His facilities include ECG equipment, polysomnogram repositories, and a BCI workstation with 64-channel EEG capabilities. He collaborates on lab-based and clinical partner studies to advance cardiac sensing algorithms and sleep-related diagnostic technologies.

• Gastroenterology
• Oncology
• Nutrition Science
• +۳ مورد دیگر

Professor Rachel Gibson is a Professor and Head of School in the Allied Health Administration at the University of Adelaide. Her work focuses on gastrointestinal toxicity, chemotherapy-induced adverse effects, and microbiome interactions with diet and health. She leads research in mucositis management, drug delivery systems, and nutritional pathways in oncology care. Her research interests include the gut microbiome's role in chemotherapy toxicity, mechanisms of gastrointestinal damage, and translational applications of intestine-on-chip models. She has contributed to international clinical guidelines on mucositis assessment and palliative care innovations during the pandemic. Publications span 2016-2025, emphasizing chemotherapy-induced diarrhea, microbiome-drug interactions, and dietary interventions. She has pioneered digital health solutions for nutrition support and explored genetic predictors of adverse drug reactions. Current efforts address pain management in pediatric cerebral palsy and optimizing supportive cancer care pathways. Grants and collaborations involve multidisciplinary teams in oncology, bioengineering, and public health. She advises on translational research bridging basic science to clinical practice, with a focus on improving patient outcomes through personalized interventions.

Tak-Wah Lamمشاهده پروفایل

استاد

• Algorithms
• Bioinformatics
• Big Data Analytics
• +۳ مورد دیگر

Professor Tak-Wah Lam is a leading academic at the University of Hong Kong (HKU), serving as Deputy Director of the School of Computing & Data Science and former Head of the Computer Science Department (2018–2023). He joined HKU in 1988 after earning his PhD in Computer Science from the University of Washington. His research spans algorithm design, bioinformatics, and big data analytics, with a focus on applications in health informatics and genomics. He has published over 200 articles, including influential work on bioinformatics software like MEGAHIT and Clair3. He is a Charivate Highly Cited Researcher (2017) and has received multiple grants, including ITF-funded projects totaling over HKD 33 million for research in genomic databases, AI-driven RegTech, and bioinformatics solutions for clinical genetics. Education: BSc from The Chinese University of Hong Kong (CUHK), MS and PhD from the University of Washington. Research interests include algorithms, bioinformatics, and big data analytics. His work bridges theoretical computer science with practical applications in healthcare, such as developing tools for variant calling, genome assembly, and disease risk prediction. He co-founded a startup in 2014 to advance bioinformatics software for clinical DNA sequencing. Key grants include: ITF Tier-2 Project (2021–2023): HKD 7 million for automated karyotype analysis ITF Tier-2 Project (2019–2021): HKD 5 million for AI-driven RegTech ITF Tier-2 Project (2015–2020): HKD 7.6 million for precision medicine genomic databases He is also recognized for teaching excellence, having received awards from HKU's Faculty of Engineering and the Department of Computer Science.

Alison Elderمشاهده پروفایل

دانشیار

• Toxicology of Inhaled Ultrafine Particles
• Engineered Nanomaterials
• Air Pollution and Neurodegeneration
• +۱۲ مورد دیگر

Alison Elder, Ph.D., is an Associate Professor in the Department of Environmental Medicine at the University of Rochester School of Medicine and Dentistry. She is affiliated with several research programs including the Environmental Health Sciences Center, the Inhalation Exposure Facility, the Toxicology Training Program (as Co-Director), the Lung Biology and Disease Program, and the Multidisciplinary Training in Pulmonary Research Program. Her research focuses on the toxicology of inhaled ultrafine particles (UFPs) and engineered nanomaterials, with implications for pulmonary, cardiovascular, and central nervous system health. Ph.D. in Environmental Toxicology, University of California, Irvine (1997) B.S. in Chemistry, Chatham College (1992) Post-doctoral Fellow, Department of Environmental Medicine, University of Rochester (1997–2000) Dr. Elder’s research centers on the health impacts of airborne particulate matter, particularly how age, co-pollutants, and health status influence responses to inhaled particles. Her work explores the translocation of particles to extrapulmonary tissues, including the brain, and their role in neurodegenerative diseases like Alzheimer’s. She investigates mechanisms such as oxidative stress, inflammation, and glymphatic dysfunction. Her lab also studies airborne micro- and nanoplastics, focusing on exposure characterization and health implications. Her recent publications span topics including Alzheimer’s disease models, glymphatic impairment, nanoparticle dissolution, and diesel exhaust effects on lung barriers. These works emphasize particle-induced inflammation, neurotoxicity, and the intersection of environmental exposure with neurological outcomes. Young Investigator Award, Society of Toxicology (2009) Cornerstone Alumna Award, Chatham University (2007) Graduate Student Fellowship, U.S. EPA (1995–1996) College Chemistry Award, Society for Analytical Chemists of Pittsburgh (1992) Dr. Elder mentors graduate students in toxicology and has trained numerous postdoctoral fellows and technicians. She leads an active research laboratory funded by NIH and DOD, investigating air pollution’s role in brain health and military burn pit exposures. Her collaborative research includes work with experts in neuroscience, materials science, and environmental engineering. She is also involved in national workshops on nanomaterial risk assessment and children’s environmental health. She leads the Elder Lab, which conducts studies on air pollution and Alzheimer’s disease, characterizes airborne micro- and nanoplastics, and develops models for nanoparticle toxicity. The lab uses advanced techniques in particle characterization, animal modeling, and cellular assays to assess health risks.

• Artificial Intelligence
• Machine Learning
• Signal Processing
• +۴ مورد دیگر

Zachi Attia, Ph.D., M.B.A., is an Associate Professor at the Mayo Clinic College of Medicine and Science, Rochester, Minnesota. His research focuses on applying artificial intelligence (AI) and machine learning to cardiac biosignals, particularly for early disease detection and prediction. He holds primary and joint appointments as Consultant in AI within the Department of Cardiovascular Medicine, collaborating with the Center for Digital Health and the Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery. Education: Ph.D. in Electrical Engineering from the University of Minnesota, Rochester; BSc and MSc in Electrical Engineering from Ben Gurion University, Israel. Dr. Attia's work centers on developing AI models that analyze multimodal cardiac data (ECGs, echocardiograms, angiograms) to detect silent diseases. His research includes pragmatic clinical trials to validate AI's impact on patient outcomes, explainable AI for biological insights, and integrating AI dashboards into medical records for clinical usability. Recent publications highlight AI applications in detecting atrial fibrillation, hypertrophic cardiomyopathy, and pulmonary hypertension via ECG analysis. Scientific Awards: No explicit awards mentioned in the text. Email: attia.itzhak@mayo.edu

Matthew Landryمشاهده پروفایل

استادیار

• Nutrition
• Chronic Disease Prevention
• Plant-Based Diets
• +۳ مورد دیگر

Matthew Landry, PhD, RDN, FAND, is an Assistant Professor in the Department of Population Health and Disease Prevention at the University of California, Irvine. He directs the Nutrition Promotion & Disease Prevention Research Lab, focusing on plant-based nutrition interventions for chronic disease prevention and health equity. His work bridges clinical research and public policy, particularly addressing nutrition disparities in underserved communities. Dr. Landry holds a BS in Nutrition and Food Sciences from Louisiana State University (2015), a PhD in Nutritional Science from the University of Texas at Austin (2019), and is a Registered Dietitian Nutritionist (Commission on Dietetic Registration, 2020). His research examines: Optimal dietary patterns for chronic disease prevention Clinical trial methodologies for dietary interventions Behavioral strategies promoting plant-forward diets Nutrition equity in food-insecure populations Policy translation of nutrition science His publications demonstrate consistent focus on plant-based nutrition, health disparities, clinical trial design, and public health interventions, utilizing diverse methodologies from community-based studies to systematic reviews. Honors and awards include: UCDC Presidential Faculty Fellow (2025) Ethan Sims Young Investigator Award (2022) Fellow of the Academy of Nutrition and Dietetics (2022) Nutrition Education and Behavioral Science Early Career Award (2021) He secured a $90,000 grant from Ardmore Institute of Health (2025) to develop OB/GYN nutrition education resources. Leads a research team investigating diet-disease relationships and intervention strategies.

• Artificial Intelligence in Healthcare
• Digital Health Interventions
• Chronic Disease Prevention
• +۱۵ مورد دیگر

Dr. Yoshimi Fukuoka is a Professor at the University of California, San Francisco (UCSF) School of Nursing , specializing in Physiological Nursing . She holds a PhD in Nursing and Postdoctoral Fellowship from UCSF, with a career focused on AI-driven health interventions , chronic disease prevention , and mobile health (mHealth) applications for diverse populations. Her research bridges artificial intelligence and behavioral health , emphasizing personalized physical activity programs , cardiovascular risk reduction , and diabetes prevention . She has developed AI chatbots to improve heart disease awareness and conducted clinical trials on metabolic syndrome and colorectal cancer survivorship . Recent publications highlight her work on: AI chatbots for heart attack knowledge and physical activity interventions Machine learning in diabetes risk prediction and microRNA analysis Cultural adaptations of mHealth for Asian Americans and Latinos Behavioral analytics in weight loss and exercise adherence Scientific awards include: 2014-2017: National Science Foundation EAGER Grant 2011-2013: UCSF Diabetes Family Fund Award 2010-2012: American Heart Association National Clinical Research Program Award 2008: Marie Cowan Promising Young Investigator Award Her work spans UCSF , with collaborations across NIH , Alzheimer's Association , and Noyce Foundation , addressing health disparities , digital health policy , and precision health through grants like NIH R01HL104147 and K24NR015812 . Media coverage includes USA Today , NHLBI News , and UCSF News for her AI in nursing innovations.

• Global Health
• Public Health
• Epidemiology
• +۵ مورد دیگر

Mohsen Malekinejad is an Associate Professor at the University of California, San Francisco (UCSF) School of Medicine and serves as the director of the Center for Resilient Societies and Technology (CREST) . He is a core member of the RESILIENT network at the University of California system, focusing on pandemic intelligence and community resilience. His career spans 20 years of public health experience with expertise in evidence-based medicine, systematic reviews, and translating research into policy. Education: DrPH (UC Berkeley, 2008), MPH (UC Davis, 2003), MD (Tehran Azad University, 1999), Postdoctoral Studies (UCSF, 2009) Dr. Malekinejad's research addresses health disparities among marginalized populations globally, focusing on substance use disorders, HIV/HCV, and pandemic response strategies . His work includes methodological innovations for sampling hard-to-reach groups (e.g., homeless populations, drug users) and economic evaluations of public health interventions . Recent publications highlight systematic reviews on topics like COVID-19 exposure notification systems, TB testing cascades, and HIV risk behaviors . His methodological strengths include respondent-driven sampling, meta-analysis, and health equity frameworks. He has led major projects funded by NIH, CDC, and WHO, including the California Department of Public Health's COVID-19 Exposure Notification system implementation. Dr. Malekinejad also maintains an active role in graduate-level public health education and collaborates across disciplines to strengthen translational research.

• Echocardiography
• Cardiac Imaging
• Right Heart Function
• +۵ مورد دیگر

Karima Addetia serves as an Associate Professor in the Department of Medicine-Cardiology at the University of Chicago. Her academic career has been dedicated to advancing echocardiographic techniques and their clinical applications, particularly in the assessment of right heart function, cardiac amyloidosis, and tricuspid valve pathology. She has established herself as a leading researcher in cardiac imaging through extensive collaborations with the World Alliance of Societies of Echocardiography (WASE) and frequent co-authorship with Dr. Roberto M. Lang, a prominent figure in cardiovascular imaging. Dr. Addetia's research interests span multiple critical areas in cardiovascular medicine. She has pioneered work in right heart assessment, establishing normative values for right ventricular size and function through large-scale multicenter studies. Her investigations into cardiac amyloidosis have significantly advanced the understanding of echocardiographic patterns associated with this condition, particularly regarding apical sparing and strain patterns. She has also made substantial contributions to tricuspid valve assessment, examining both normal anatomy and pathological conditions including device-related complications. More recently, her work has incorporated artificial intelligence applications in echocardiography, exploring how machine learning can improve diagnostic accuracy and workflow efficiency. The trajectory of Dr. Addetia's research publications reveals a consistent focus on quantitative cardiac imaging with increasing sophistication over time. Her early work established foundational knowledge about right ventricular morphology and function, while more recent publications integrate advanced technologies like AI and focus on specific disease states like cardiac amyloidosis. A notable pattern is her participation in large, collaborative studies that establish normative values across diverse populations, addressing important gaps in understanding how cardiac measurements vary by age, sex, and ethnicity. Her work consistently bridges technical echocardiographic advancements with direct clinical applications. Dr. Addetia's collaborative approach is evident through her extensive involvement with the WASE study group and numerous multicenter investigations. Her research methodology typically combines rigorous quantitative analysis with clinical correlation, producing findings that directly impact diagnostic criteria and clinical practice guidelines. While specific grant information isn't detailed in the available publications, her leadership in major collaborative studies suggests significant research funding support for her work in cardiac imaging innovation.

Maria Eriksdotterمشاهده پروفایل

استاد

• Alzheimer's Disease
• Geriatrics
• Dementia
• +۶ مورد دیگر

Professor Maria Eriksdotter is a leading academic in geriatrics and dementia research at the Karolinska Institutet , holding the Department of Neurobiology, Care Sciences and Society . She also serves as a Senior Consultant in Themes Inflammation and Ageing at Karolinska University Hospital Huddinge and previously as Dean of KI South (2019–2023). Her work spans translational research, clinical trials, and national registry development, with a focus on Alzheimer's disease, cholinergic therapies, and aging. Her research group pioneered NGF cell therapy for Alzheimer's patients, demonstrating safety and cognitive stabilization in clinical trials. She chairs the SveDem registry , tracking over 100,000 dementia patients to refine diagnostics and care. Studies from SveDem revealed mortality reduction with cholinesterase inhibitors and highlighted pandemic-era diagnostic delays. Recent publications analyze dementia subtypes , comorbidities , and precision medicine in neurodegeneration. Her work intersects neuroimaging , epidemiology , and public health policy , addressing ageism and improving geriatric care systems. Collaborations span Karolinska University Hospital , NSGene Inc , and international institutions.

Ping Maمشاهده پروفایل

دانشیار

• Health Disparities
• Social Determinants of Health
• Maternal and Child Health/Women's Health
• +۸ مورد دیگر

Ping Ma, PhD, is an Associate Professor in the Department of Health Behavior at Texas A&M University School of Public Health. She specializes in social and environmental determinants of health, focusing on underserved populations including maternal women, adolescents, racial/ethnic minorities, and older Asian populations. Her methodological expertise spans survey development, mixed methods, and multi-level analysis. Liaoning University, BA in Social Welfare/Social Work (2003) Liaoning University, MA in Population Studies/Demography (2006) Linköping University & EHESS, MA in Dynamics of Health and Society (2008) Tulane University, PhD in Public Health (2013) UT Southwest Medical Center, Postdoctoral Training Certificate (2015) Dr. Ma's research examines health disparities, social determinants of health, maternal and child health, mental health service access, and health behavior interventions. She utilizes community-based participatory research and integrated care models to address disparities in mental health, chronic diseases, and substance use among vulnerable groups. Her recent publications focus on air pollution impacts, cancer prevention strategies, mental health trends during the pandemic, illicit drug use patterns, and culturally adapted interventions. Key themes include environmental health equity, digital health technologies, and multi-level analysis of health outcomes. Early Career Faculty Research Excellence Award (2022) Health Disparities Research Scholar (2022) NCFDD Faculty Success Fellow (2021) Robert Woods Johnson Foundation Interdisciplinary Research Leader (2020) Dr. Ma teaches courses in Grant Writing, Public Health Intervention, and Public Health Evaluation. She collaborates with clinical providers, community organizations, and health workers, with funding from NIH, HRSA, CPRIT, Gulf grants, and the Robert Wood Johnson Foundation.

Nadine Andrewمشاهده پروفایل

دانشیار

• Data linkage
• Stroke
• Chronic Disease Prevention and Management
• +۵ مورد دیگر

Associate Professor Nadine Andrew is an Associate Professor (Research) in the Department of Medicine at Monash University's School of Translational Medicine. She leads the National Centre for Healthy Ageing Data Platform and chairs the Monash HELIX data linkage committee. With expertise in data linkage and health services research, her work focuses on chronic diseases of aging, stroke, and dementia. She has secured over $12M in grants and leads projects like the NHMRC-funded PRECISE stroke study and a MRFF digital health initiative for aged care transfers. Her team includes experts in epidemiology, data science, and bioinformatics. Education: PhD in Epidemiology, Master’s in Public Health, clinical background in Physiotherapy. Research Interests: Data linkage methodologies, stroke epidemiology, chronic disease management, digital health solutions for aging populations. She pioneers national data platforms and co-designs patient-centered care systems. Grants & Projects: $2M MRFF grant for digital health in aged care, NHMRC PRECISE project, boosting dementia grant. Active in 20+ collaborative initiatives including national stroke data integration and vulnerable population cohort studies. Awards: 2024 Australian Epidemiological Association Award, 2021 American Heart Association Reviewer Award, NHMRC Early Career Fellowship (2014). Labs/Teams: Directs the National Centre for Healthy Ageing Data Platform and oversees multidisciplinary research teams advancing EHR data utilization.

• Public Health
• Cardiovascular Health
• Epidemiology
• +۳ مورد دیگر

Matthew Ahmadi is a Postdoctoral Research Fellow at the University of Sydney's Sydney School of Health Sciences, part of the Faculty of Medicine and Health. He is affiliated with the Charles Perkins Centre and supervises research student Angel Bian. His work focuses on physical activity, sleep patterns, and their impacts on cardiovascular health, mortality, and chronic disease prevention. He has published extensively on device-measured behaviors, wearable technology applications, and population health studies. Ahmadi has secured grants including a National Heart Foundation Postdoctoral Fellowship and a Charles Perkins Centre Professional Development Award. Research interests span epidemiology and public health, with emphasis on translating activity metrics into clinical and policy recommendations. Recent studies investigate vigorous intermittent lifestyle physical activity (VILPA), sleep regularity's cardiovascular effects, and the role of physical activity in mitigating infectious disease risks. He contributes to the ProPASS consortium analyzing global movement behavior data. Key achievements include developing machine learning methods for activity classification (e.g., in cerebral palsy populations) and leading randomized controlled trials evaluating dog activity trackers' impact on owner behavior. His research bridges clinical, technological, and population health perspectives to address global health challenges.

George Hripcsakمشاهده پروفایل

استاد

• Biomedical Informatics
• Electronic Health Records (EHRs)
• Data Mining
• +۴ مورد دیگر

George Hripcsak is the Vivian Beaumont Allen Professor of Biomedical Informatics and Director of Medical Informatics Services at New York-Presbyterian Hospital, Columbia University. He holds affiliations with the Vagelos College of Physicians and Surgeons and the Data Science Institute (DSI). His expertise spans clinical informatics, electronic health records (EHRs), and medical knowledge representation standards. Hripcsak earned degrees in chemistry, medicine, and biostatistics, and is a board-certified internist. Research focuses on leveraging EHR data for clinical research and patient safety through data mining and causal inference techniques. Notable contributions include the Arden Syntax (a national standard for medical knowledge representation) and leadership in the Observational Health Data Sciences and Informatics (OHDSI) network. He chairs the AMIA Standards Committee and has advised federal health informatics policies under HIPAA. His academic awards include Fellowships in the American College of Medical Informatics (1995) and New York Academy of Medicine. Current projects emphasize federated learning, genomic risk prediction, and large-scale real-world evidence analysis through initiatives like LEGEND-T2DM and All of Us Research Program. Educations: MD, Biostatistics, Chemistry Labs/Teams: OHDSI, DSI, Medical Informatics Services Grants & Funding: Not explicitly listed in provided texts