جست‌وجوی استاد و پژوهشگر

Digna Velez Edwardsمشاهده پروفایل

دانشیار

• Genetic Epidemiology
• Reproductive Epidemiology
• Women's Health
• +۱۹ مورد دیگر

Digna Velez Edwards is an Associate Professor in the Department of Obstetrics and Gynecology and the Department of Biomedical Informatics at Vanderbilt University School of Medicine. She serves as Division Director of Quantitative Sciences and Director of the Women's Health Research Center, and is an Investigator at the Vanderbilt Genetics Institute and a member of the Vanderbilt Epidemiology Center. Her work integrates genetics, epidemiology, and clinical informatics to advance understanding of women's health and health disparities. Education: PhD, Vanderbilt University, 2008 MS, Vanderbilt University, 2008 Postdoctoral Fellowship, University of Miami, 2009 Dr. Velez Edwards is a genetic epidemiologist with a focus on identifying genetic risk factors for complex diseases that disproportionately affect minority populations and impact women's reproductive health. Her research emphasizes uterine fibroids, preterm birth, miscarriage, pelvic organ prolapse, and keloids. She investigates the interplay between genetic and environmental factors contributing to racial and ethnic disparities in disease risk. Her research leverages large-scale resources such as the Right from the Start pregnancy cohort—a community-based prospective cohort—and integrates electronic health record (EHR) data linked to genomic information. She applies advanced methodologies including genome-wide association studies (GWAS), next-generation sequencing, biomarker evaluation, and phenome-wide association studies (PheWAS) to uncover genetic determinants of disease. Dr. Velez Edwards has built and manages a biospecimen repository from the Right from the Start cohort, enabling genetic epidemiological studies on reproductive complications and adverse pregnancy outcomes. Her work supports precision medicine initiatives and aims to reduce health disparities through data-driven discovery. She is actively involved in multidisciplinary research teams and leads key initiatives in women's health and quantitative sciences. Her leadership roles reflect her contributions to advancing research infrastructure and scientific collaboration at Vanderbilt.

Jodyn Plattمشاهده پروفایل

دانشیار

• Ethics of Big Data and Algorithms
• Health Informatics
• Health Policy
• +۳ مورد دیگر

Jodyn Platt, PhD, MPH, is an Associate Professor at the University of Michigan School of Public Health, affiliated with the departments of Learning Health Sciences and Health Management and Policy. Her research bridges health informatics, ethics, and community engagement. PhD in Health Services Organization and Policy, University of Michigan (2014) MPH in Health Services, University of Michigan (2005) BA in Sociology, Oberlin College (1997) Dr. Platt's work focuses on the ethics of big data and algorithms in healthcare, health information systems policy, trust in health systems, and community engagement in health research. She examines how artificial intelligence impacts patient trust and healthcare quality. Her recent publications highlight AI governance, patient-centered design of health technologies, trust dynamics in clinical decision support, and equitable public health communication strategies during pandemics. She also investigates frameworks for computable biomedical knowledge and learning health systems. Dr. Platt has received NIH funding to explore stakeholder perspectives on AI in clinical decision-making, precision oncology, and radiation oncology. She develops "product information labels" for AI healthcare tools and maturity models for precision health systems.

• Algorithm Engineering
• Health IT
• Information Systems
• +۸ مورد دیگر

Umberto Nanni is a full Professor of Information Management Systems at the University of Rome "La Sapienza" since November 2005. He has held significant leadership roles including Director of the Research Center for Distance Learning and Technologies for Learning at Telematic University Unitelma Sapienza (2015-2022) and President of the Area Council in Information Engineering at the Latina location of University of Rome "La Sapienza" (2014-2020). Professor Nanni's research spans multiple domains with primary focus on Algorithm Engineering (particularly path algorithms and combinatorial problems), Health IT, Information Systems (with applications in Transport and Logistics, Cultural Heritage), and Technology Enhanced Learning. His work integrates Big Data, Graph and Text mining, Incremental Algorithms, Dynamic Data Structures, and Internet of Things technologies to address complex challenges in these areas. His recent publications demonstrate a strong trend toward biomedical applications, particularly in biospecimen management and digital twins for precision medicine, while maintaining his foundational work in algorithm design and educational technology. The research shows increasing interdisciplinary collaboration, especially between computer science and healthcare domains, with notable publications in Cancer Genomics & Proteomics and other high-impact journals. He has advised over 400 undergraduate and master's theses along with 2 PhD students He has led numerous significant research projects including "Artificial Intelligence algorithms to track and detect Covid-19 vaccine-related infodemic on social media" (2023-2025) He coordinated the "ADCATER - Advanced Digital Solutions for Professional Food and Nutrition Catering Service" project (2021-2023) He served as Principal Investigator for the eLF-eLearning Fitness project (2011-2014) with 19 partners and 42 associated partners Professor Nanni co-founded and was instrumental in developing SPRECware, software tools for Standard PREanalytical Code labeling to improve biospecimen management. His work has resulted in over 100 scientific papers with an h-index of 27, demonstrating substantial impact across computer science, healthcare informatics, and educational technology domains.

• Cancer Pathology
• Biomarker Development
• Precision Oncology
• +۲ مورد دیگر

Dr. Carolyn Compton is Professor at Arizona State University's School of Life Sciences, specializing in cancer pathology and precision oncology. Her research focuses on biomarker development, biobanking standards, and molecular diagnostics for personalized cancer treatment. She has played key roles in establishing national standards for cancer staging through the AJCC Cancer Staging Manual and liquid biopsy data reporting. Her research portfolio includes: Foundational work on tissue quality standards for molecular analysis Leadership in national biobanking initiatives and data commons development Guidelines for biomarker validation in precision oncology Molecular classification systems for gastrointestinal cancers Dr. Compton's publications demonstrate consistent focus on improving diagnostic accuracy and reproducibility, with recent work emphasizing liquid biopsy applications and data standardization. She actively contributes to professional organizations including the American Society of Clinical Oncology and College of American Pathologists.

Sonia Gregoمشاهده پروفایل

عضو هیئت علمی

• Smart sanitation systems
• Environmental engineering
• Biomedical engineering
• +۴ مورد دیگر

Sonia Grego is an Associate Research Professor in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. She leads the Smart Toilet Lab and contributes to research at the Center for Water, Sanitation, Hygiene and Infectious Disease. Her work spans environmental engineering, biomedical device development, and optical biosensor design. Education : M.S. from Università di Pisa (1995), Ph.D. from University of Copenhagen (1999) Current Affiliations : Duke University, Smart Toilet Lab, Center for Water, Sanitation, Hygiene and Infectious Disease Grego's research focuses on smart sanitation systems , integrating IoT technologies for health monitoring through toilet-based diagnostics. Her work bridges biomedical engineering with environmental sustainability , particularly in non-sewered sanitation solutions and wastewater epidemiology. She has pioneered automated stool monitoring systems using computer vision and electrochemical wastewater treatment for public toilet recycling. Her publications demonstrate expertise in: Environmental Engineering : Wastewater analysis, fecal sludge characterization Biomedical Device Development : Microfluidic models, optical biosensor platforms Flexible Electronics : Transparent electrode systems, bend-testing for displays Optical Sensing : Grating couplers, wavelength interrogation systems News coverage highlights her impact on sustainable sanitation through Duke's "Smart Toilet" innovations that monitor health data while promoting water reuse. Earlier work includes nanowire photodetectors and MEMS scanning mirrors for medical endoscopy, showing consistent innovation across multiple engineering domains.

Martin Chapmanمشاهده پروفایل

مدرس

• Health Informatics
• Healthcare Technology
• Data Science in Healthcare
• +۳ مورد دیگر

Martin Chapman is a Lecturer in Health Informatics at Population Health Sciences, focusing on healthcare technology, data-driven decision support systems, and phenotype library development. His work integrates computational methods with clinical practice to improve patient care and healthcare outcomes. He has contributed to projects involving stroke survivor self-management portals, phenotype standardization, and AI ethics in healthcare. Research Interests: Health Informatics Patient-Centered Digital Tools Computable Phenotyping Healthcare Data Standards Non-repudiation in AI Recent Research Trends: Recent work emphasizes phenotype library development (e.g., Health Data Research UK Phenotype Library), digital health portal design for stroke survivors, and ethical AI applications in healthcare. His publications often address cross-disciplinary challenges in integrating clinical data with computational methods. Awards: Best Paper Award at ICHI 2024 for co-designing a user-centered digital portal for stroke survivors. Grants & Projects (2022–2026): Developing AI solutions for pediatric health interventions (HDR UK) Phenomics and Prognostic Atlas (HDR UK) Improving stroke survivor outcomes using data-driven approaches (NIHR) Labs/Teams: Collaborates with multidisciplinary teams including HDR UK, Stroke Association, and NHS-funded initiatives focusing on healthcare innovation and data-driven solutions.

Cathy Samayoaمشاهده پروفایل

استادیار

• Transdisciplinary Health Equity Research
• Biomarkers of Stress
• Premature Aging
• +۳ مورد دیگر

Dr. Cathy Samayoa is an Assistant Professor at San Francisco State University (SFSU), focusing on transdisciplinary health equity research. Her work emphasizes biomarkers of stress, premature aging, and resilience mechanisms in marginalized populations, particularly Latinas with breast cancer. She holds a Ph.D. from the University of Texas Health Science Center at San Antonio. Her research spans both clinical and community-engaged approaches, including NIH-funded studies using the All of Us dataset to explore breast cancer disparities. She leads interventions like the Nuevo Amanecer-II RCT, which employs peer-delivered stress management strategies for rural Latina survivors. Dr. Samayoa also investigates estrogen receptor β agonists' therapeutic potential in preclinical models of breast cancer progression. Key themes in her work include culturally tailored interventions, biospecimen collection challenges among Spanish-speaking populations, and the role of social determinants in health outcomes. She advocates for community-based participatory research (CBPR) to address systemic inequities in cancer care and survivorship.

Liao Yueمشاهده پروفایل

استادیار

• Digital Health
• Behavioral Science
• Public Health
• +۷ مورد دیگر

Dr. Liao Yue is an Assistant Professor in the Department of Kinesiology at The University of Texas at Arlington (UTA), affiliated with the College of Nursing and Health Innovation. Her research focuses on leveraging wearable sensors and mobile technologies to promote healthy behaviors for chronic disease prevention, particularly in cancer survivors and underserved populations. She directs the Physical Activity and Wearable Sensors (PAWS) Lab, which investigates real-time data capture methods to develop personalized interventions. Dr. Liao holds affiliations with the Multi-Interprofessional Center for Health Informatics and the Division of Data Science at UTA. Dr. Liao’s education includes a PhD in Health Behavior Research (University of Southern California, 2015), an MPH in Biostatistics (University of Texas Health Science Center at Houston, 2009), and a BS in Health Promotion (University of Southern California, 2006). She completed postdoctoral training at MD Anderson Cancer Center and holds certifications such as the ACUE Credential in Effective College Instruction. Her research interests span behavioral interventions, digital health, and health disparities. Key projects include the Active Living After Cancer program for medically underserved survivors and the BLOOM Study examining cardiovascular health in Black women. She has received prestigious awards like the PRIDE-CVD Scholar (2024) and the NCI TREC Fellowship (2019). Dr. Liao actively collaborates with community partners, leading initiatives like Kourage Health (a cancer survivor exercise program) and serving as Associate Director of the Center for Healthy Living and Longevity. She has secured over $3 million in grants, including NIH-funded studies on cardiovascular health disparities and wearable sensor-based interventions. Her teaching includes courses on public health advocacy, behavioral epidemiology, and research methods. She advises numerous undergraduate and graduate students on projects related to digital health, physical activity, and health equity.

Jeffrey A. Thompsonمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Healthcare Informatics
• +۴ مورد دیگر

Jeffrey A. Thompson is an Associate Professor in the Department of Biostatistics & Data Science at the University of Kansas Medical Center (KUMC) and concurrently serves as the joint Chief Research Informatics Officer for KUMC and the University of Kansas Health System. He holds a PhD in Quantitative Biomedical Science from Dartmouth College and a BS in Computer Science from the University of Southern Maine. His research focuses on leveraging artificial intelligence, machine learning, and informatics to improve healthcare outcomes through innovative tools like the Curated Cancer Clinical Outcomes Database (C3OD), which accelerates clinical trial patient recruitment. Thompson has pioneered digital research infrastructure modernization at KUMC, including HIPAA-compliant cloud-based platforms and centralized data systems. He is an award-winning educator, having received the KU Edwards Campus Faculty Teaching Excellence Award (2021) and the Department of Urology Teacher Appreciation Award (2022). Thompson leads key roles such as co-lead of the Frontiers Clinical and Translational Science Institute’s Informatics Core and Associate Director of the Quantitative Omics Core at the Kansas Institute of Precision Medicine. His work spans genomic data analysis, clinical trial optimization, and advancing data science education through summer workshops. Publications highlight his contributions to predictive modeling in oncology, EHR analytics, and bioinformatics tools. Thompson’s work emphasizes interdisciplinary collaboration, evidenced by his leadership in integrating research systems across electronic health records, biospecimen management, and clinical imaging. His efforts in rural cancer outcome disparities and personalized screening frameworks further demonstrate his commitment to equitable healthcare solutions.

• Stress and Health
• Social Determinants of Health
• Minority Health
• +۵ مورد دیگر

Dr. Stephanie H. Cook is an Associate Professor of Social and Behavioral Sciences and Biostatistics at New York University. She leads the Attachment and Health Disparities Research Lab (AHDL), focusing on stress, health equity, and social determinants of health across the lifespan. Her research integrates adult attachment theory with minority stress frameworks to understand health disparities in vulnerable populations, particularly among sexual and gender minorities of color. Education: BA in Psychology and Women’s Studies from the University of Michigan (Ann Arbor), MPH and DrPH in Sociomedical Sciences from Columbia University (New York). Research interests span cardiovascular health disparities, intersectionality, longitudinal methodologies, and mindfulness interventions to reduce discrimination-related stress. Current projects include GeoSENSE (geospatial health disparities study) and optimizing mindfulness-based interventions for marginalized groups. Key achievements include over 80 peer-reviewed articles and prestigious awards such as the NIH Loan Repayment Program Award (2023) and NYU Faculty Fellow (2023). Her work emphasizes culturally tailored interventions to improve health equity.

Maria Libera Asciertoمشاهده پروفایل

استاد

• Cancer Immunology
• Translational Pharmacology
• Biomarker Discovery
• +۵ مورد دیگر

Professor Maria Libera Ascierto serves as Professor of Translational Cancer Immunology at the School of Cancer Sciences, University of Glasgow, where she leads the Translational Pharmacology and Immunology (TPI) laboratory. Her work focuses on biomarker discovery through precision immunology, utilizing advanced proteomic approaches to decipher immune evasion mechanisms and develop novel immunotherapies for melanoma and gastrointestinal cancers. Her research centers on cancer immunology and translational pharmacology, with melanoma and GI cancers serving as primary models for studying immunotherapy response and resistance. The TPI laboratory employs cutting-edge techniques including spatial immune profiling, spectral cytometry, and ultrasensitive chemokine/cytokine measurement under GCLP standards to identify resistance patterns and pioneer new immunotherapeutic strategies. Research groups within her lab specialize in Melanoma Immunology, Breast cancer, Colorectal/Lower GI cancers (including gut microbiome), and Liver cancer. Analysis of her 2016-2025 publications reveals a consistent focus on immunotherapy resistance mechanisms, particularly to anti-PD-1 therapies across multiple cancer types. Her work increasingly integrates multi-omic approaches and spatial biology to characterize tumor microenvironment dynamics, with recent studies examining brain metastases and combination therapies involving durvalumab. No scientific awards were mentioned in the provided documentation. Professor Ascierto currently leads the grant "Unchaining spatial omics and immune monitoring in clinical practice through LUNAPHORE technology: Implications for Precision Immunotherapy" funded by NHS Greater Glasgow and Clyde Endowment Funds (2024-2027). While specific advisees aren't listed, her laboratory drives clinical trials and biospecimen research within the University of Glasgow's translational framework. The TPI laboratory functions as the central hub for translational research at the University, integrating clinical trials, biospecimen analysis, and biomedical informatics. It maintains specialized teams for spatial omics, immune monitoring, and precision immunology, with current projects focused on applying LUNAPHORE technology to clinical practice and investigating oncogenic signaling pathways in immunotherapy response.

• Biosignal Processing
• Cardiac Electrophysiology
• Heart Rate Variability Analysis
• +۴ مورد دیگر

Prof. Dr. Georg Schmidt is a Professor of Biosignal Processing at the TUM School of Medicine and Health (Technical University of Munich). His research focuses on non-invasive cardiac risk assessment using electrocardiography (ECG) and heart rate variability (HRV) analysis, with emphasis on mortality prediction, arrhythmia detection, and telemedicine integration. He leads major studies like the EU-CERT-ICD cohort and the German National Cohort (NAKO), exploring topics such as ICD efficacy, gestational diabetes impacts, and data protection standards in healthcare. Key affiliations: TUM School of Medicine and Health, Department of Biosignal Processing Leadership roles: Humboldt/Heisenberg Professorship eligibility (per faculty listings) Research interests include: Cardiac autonomic function and arrhythmia risk ECG-based biomarkers for mortality prediction Interoperability of medical devices in smart hospitals Ethical frameworks for secondary use of health data Publications highlight contributions to ICD therapy optimization, fetal cardiac monitoring, and telemedicine in post-COVID scenarios. His work bridges clinical cardiology with engineering innovations in biosignal analysis. Awards: Not explicitly mentioned in provided texts. Advising/Grants: No listed students, but leads large collaborative research projects. Grants likely tied to EU-CERT-ICD and NAKO initiatives. Labs/Teams: Involved in TUM's biosignal processing and telemedicine integration teams.

Roni Bollagمشاهده پروفایل

استاد

• Stem Cell Biology
• Translational Cancer Research
• Bone Metabolism
• +۵ مورد دیگر

Roni Bollag, MD, PhD, is a Professor at the Medical College of Georgia of Augusta University, holding appointments in the Departments of Pathology, Georgia Cancer Center, and Medicine. She serves as Director of the Georgia Cancer Center's Biorepository. Education: MD (Augusta University, 2004), PhD (Yale, 1990), MPhil (Yale, 1987), BS (Pennsylvania State University, 1984) Certifications: American Board of Pathology (Anatomic & Clinical Pathology, Blood Banking/Transfusion Medicine), GA Composite Medical Board Research Interests: Stem cell biology and translational applications in cancer research, focusing on bone metastasis mechanisms, biorepository-based studies, and informatics-driven translational networks. Her work combines clinical specimen resources with advanced processing technologies. Recent Research Trends: 2021-2022 publications highlight tumor immunotherapy, lipidomic cancer disparities, and stem cell signaling pathways, reflecting interdisciplinary approaches to oncology. Scientific Awards: Distinguished Chair in Oncologic Pathology (2017) Service Roles: Committee Member (MCG Admissions Task Force 2016-2017, COVID19 IRB 2020, GMEC Policy Subcommittee 2020) and Board Member (Shepeard Community Blood Center 2014-present). Labs & Teams: The Bollag Lab at Augusta University's Georgia Cancer Center includes Senior Research Associate Adurey Eubanks, Research Associate Adriana Langer Gramer, and Research Operations Coordinator Denise Harper.

Thomas J. Flotteمشاهده پروفایل

استاد

• Melanoma
• Pigment Cell Biology
• Cutaneous Lymphoma
• +۴ مورد دیگر

Thomas J. Flotte, MD, is a Professor of Laboratory Medicine and Pathology at Mayo Clinic in Rochester, Minnesota. He serves as a Consultant in the Division of Anatomic Pathology and the Department of Dermatology, focusing on improving melanoma diagnosis and therapeutic strategies through tissue-based research. Education: BS in Biology, Rensselaer Polytechnic Institute (1976) MD, Albany Medical College (1976) Residency and Fellowships in Pathology, Dermatopathology, and Immunology at Massachusetts General Hospital and New York University Medical Center Dr. Flotte’s research integrates Melanoma , Advanced Microscopy , and Machine Learning to correlate histological features with patient outcomes and discover biomarkers. His work also emphasizes technology development, including Multispectral Imaging and Imaging Mass Spectrometry , to enhance diagnostic reproducibility and disease understanding. Recent publications highlight his leadership in applying Deep Learning to anatomic pathology and advancing Neoadjuvant Therapies for melanoma. He has secured multiple grants from the National Cancer Institute for projects like the Pathology Research Core and Microscopy technologies. Scientific Awards: Recognition Award, International Academy of Pathology (1992, 1999) Outstanding Research Award, Albany Medical College (1973) Dr. Flotte actively contributes to clinical informatics via Decision Support Systems and Provider Order Entry . He leads committees in digital pathology and biospecimen trust oversight, ensuring alignment with Mayo Clinic’s research and clinical missions.

• Autoimmune Diseases of the Nervous System
• Multiple Sclerosis
• Neuromyelitis Optica
• +۹ مورد دیگر

Dr. Erin Longbrake is an Associate Professor of Neurology at Yale School of Medicine . She leads clinical research in the Neuroimmunology Division and directs the Multiple Sclerosis & Other Inflammatory Brain Disease Fellowship Program . Her work bridges multiple sclerosis (MS) clinical trials with translational research on neuro-immune interactions and biomarker development . Education: BA in Biology, Cedarville University (1998) Combined MD/PhD, Ohio State University (2009) Neurology Residency, Washington University (2013) Sylvia Lawry Fellowship, National MS Society (2016) Dr. Longbrake specializes in personalized MS management and pre-clinical disease detection . Her lab investigates microbiome-immune interactions , B-cell depletion effects , and novel neuroimaging biomarkers like the central vein sign . She has published extensively on MS heterogeneity , vaccine responses in immunosuppressed patients, and infection risks with long-term therapies. Recent research trends (2024-2025) emphasize multicenter validation of automated MRI biomarker systems, microbiome profiling , and immunological consequences of anti-CD20 therapies. Her work spans clinical trial design , translational immunology , and neurological outcomes research . Scientific Awards: Sylvia Lawry Fellow , National MS Society (2013) Alpha Omega Alpha Society (2009) As principal investigator for multiple MS clinical trials (including CD19-targeted CAR T cells and frexalimab), she collaborates with David A. Hafler , Andrew Solomon , and Rong Fan . Her lab recruits patients from the Northeast US for human biospecimen studies integrating low-field MRI , metabolomics , and deep immunophenotyping . She serves on editorial boards for Annals of Neurology and Neurology: Neuroimmunology & Neuroinflammation , and as board member for ACTRIMS .