Find Academic Supervisors

Mimi Stokke OpdalView profile

Associate Professor

• Therapeutic Drug Monitoring
• Clinical Toxicology
• Pharmacokinetics
• +4 more

Mimi Stokke Opdal is an Associate Professor in the Department of Pharmacology at the University of Oslo's Faculty of Medicine. Her research primarily focuses on therapeutic drug monitoring and clinical toxicology, with particular expertise in hypertension treatment adherence, methadone pharmacology, and analytical method development for drug quantification. She maintains an active research profile with publications spanning from the 1990s to the present. Dr. Opdal's research interests center on therapeutic drug monitoring (TDM), clinical toxicology, and pharmacokinetics. Her work has evolved from early studies on cardiac pharmacology and calcium channels to current research on medication adherence in hypertension treatment, methadone pharmacokinetics, and analytical method development for drug quantification. She has made significant contributions to understanding how serum drug concentrations can be used to assess medication adherence and optimize treatment outcomes, particularly in cardiovascular medicine. Analysis of her recent publications (2011-2025) shows a clear focus on therapeutic drug monitoring applications in clinical practice. Her work spans hypertension management, methadone maintenance therapy, antiepileptic drugs, and forensic toxicology. A notable trend is her development and application of advanced analytical techniques (particularly UHPLC-MS/MS) for drug quantification in biological samples, which has enabled more precise therapeutic drug monitoring and improved understanding of medication adherence patterns. Dr. Opdal is actively involved in the Therapeutic Drug Monitoring and Clinical Toxicology research group at the University of Oslo. Her collaborative approach is evident in her numerous multi-author publications involving researchers from various Norwegian hospitals and institutions. While specific grant information isn't provided in the available text, her extensive publication record in high-impact journals suggests successful grant acquisition supporting her research activities. Her laboratory work focuses on analytical method development for drug quantification, particularly using UHPLC-MS/MS techniques. The research group appears to maintain strong clinical connections, conducting studies in emergency departments, hypertension clinics, and with patients in methadone maintenance programs. This translational approach bridges laboratory analytical science with direct clinical applications.

Martin Siemienski AndersenView profile

Associate Professor

• Cardiac Imaging
• Cardiovascular Disease
• Medical Imaging Systems
• +3 more

Martin Siemienski Andersen is an Associate Professor at Aalborg University's Department of Medicine and Health Technology within the Faculty of Health Sciences. He works in the CardioTech research group and focuses on advanced cardiac imaging techniques. Education: MSc, PhD Contact: mvan@hst.aau.dk | +4599407867 His research spans multiple disciplines including: Cardiac imaging systems High frame rate echocardiography Myocardial tissue characterization Digital twin-based clinical decision support Coronary artery disease imaging Medical image processing algorithms Recent publications highlight his work on: Automated segmentation of coronary artery bypass images Digital twin applications for mechanical ventilation in ARDS patients Shear wave imaging for myocardial tissue analysis Acoustic window detection in echocardiography Contractile dynamics in left bundle branch block Awards: 2nd Place in Basic Science E-posters category at AIUM 2018 Key collaborations include researchers at: Computing in Cardiology Frontiers in Medicine Journal of Cardiothoracic Surgery Ultrasound in Medicine and Biology

• Diabetic Cardiomyopathy
• Mitochondrial Metabolism
• Insulin Resistance
• +3 more

E. Dale Abel is a Professor and Department Chair at the David Geffen School of Medicine, University of California Los Angeles (UCLA) . His work bridges cardiovascular research with metabolic disorders , focusing on diabetes-induced mitochondrial dysfunction and insulin signaling in cardiac health . Current research programs include modulating ROS via electromagnetic fields and mitochondrial dynamics in platelets . Education: MD and PhD in Molecular Medicine from University of Melbourne Training: Internship at Royal Melbourne Hospital; Fellowship at NIH His research interests center on diabetic cardiomyopathy , mitochondrial bioenergetics , and metabolic reprogramming in heart disease . Recent studies explore: 2024 Cell paper on evolving diabetes pandemic 2022 Circulation Research work on macrophage glucose suppression 2021 mitochondrial stress adaptation in Autophagy and eLife Scientific grants include: NIH R01HL157781 (2021-2025): Investigating MG53 in heart structure NIH R01DK125079 (2021-2026): Electromagnetic field therapy for diabetes NIH R01HL112413 (2015-2020): Cardiac insulin resistance mechanisms

Kelly McNagnyView profile

Professor

• Cell Signaling
• Immunology
• Stem Cell Biology
• +7 more

Dr. Kelly McNagny is a Professor at the University of British Columbia, holding joint appointments in the School of Biomedical Engineering and the Department of Medical Genetics. His career spans immunology, stem cell biology, and biomedical engineering with a focus on inflammatory disease, cancer biology, and regenerative medicine. PhD in Cellular Immunology from University of Alabama at Birmingham Postdoctoral Fellowship at European Molecular Biology Laboratory Co-Director of Biomedical Research Centre Principal Investigator at Centre for Heart Lung Innovation Research focuses on hematopoietic stem cell biology through signaling networks and microenvironment interactions , addressing applications in chronic allergy , asthma , and inflammatory diseases . Recent work explores innate lymphoid cells (ILC2/ILC3), microbiome-driven immunity , and podocalyxin-targeted therapies for pancreatic cancer and ovarian carcinoma . Key article trends include: ILC2/ILC3 roles in intestinal fibrosis and lung inflammation Microbiome analysis linking neonatal microbial exposure to life-long immune skewing Podocalyxin as therapeutic target across solid tumors and kidney disease Computational immunology tools like IQCELL for single-cell trajectory analysis Scientific recognition : Michael Smith Foundation for Health Research Senior Scholar Leadership roles in Stem Cell Network , Immunotherapeutics Cluster , and AllerGen NCE Advisory and Collaborative Efforts : Mentorship of PhD and MSc students (Refaeli, Canals Hernaez, Messing, Shin, Jan-Abu, Yip) Grants from CIHR , NIH , Heart and Stroke Foundation , and NCE Networks Lab team includes Michael Hughes (RA), Julyanne Brassard (PDF), and Kristen Li (Technician)

Caitlin O'MearaView profile

Associate Professor

• Cardiac Regeneration
• Cytokine Signaling
• Heart Repair
• +3 more

Caitlin O'Meara, PhD, is an Associate Professor in the Department of Physiology at the Medical College of Wisconsin. Her research focuses on understanding molecular and cellular mechanisms underlying heart regeneration, repair, and cardiomyocyte function. She holds a PhD from the Medical College of Wisconsin (2011) and completed postdoctoral training at Harvard Medical School (2016). Research interests include cytokine signaling (IL-4/13), cytoarchitectural proteins in cardiac cells, and genetic determinants of cardiac repair. Her lab uses zebrafish and rodent models to investigate how pro-regenerative pathways can be harnessed to treat myocardial infarction. Collaborations with Dr. Michaela Patterson’s lab leverage genetically diverse rat models to study macrophage-driven cardiac healing. Recent publications highlight advancements in cardiomyocyte proliferation quantification, IL-4Rα signaling in heart failure, and fibrotic biomarkers in SARS-CoV-2-associated cardiomyopathy. Training priorities include mentoring students who have secured NIH F31/F32 grants and T32 training awards. The O’Meara lab actively recruits graduate students and postdoctoral fellows for collaborative projects in cardiac repair.

Shahnaz AkilView profile

Researcher

• Chronic Coronary Syndrome
• Myocardial Ischemia
• Cardiac Imaging
• +7 more

Shahnaz Akil is a Researcher at Lund University's Department of Clinical Physiology, affiliated with the Lund Cardiac MR Group. Her research focuses on improving diagnostic accuracy for chronic coronary syndrome (CCS) through advanced imaging techniques such as myocardial perfusion imaging and cardiac MRI. She evaluates the clinical management of CCS patients to reduce unnecessary interventions and healthcare costs. Key areas include stress-induced myocardial ischemia assessment, long-term outcomes of revascularization therapies, and the role of comorbidities in patient prognosis. Uses nuclear medicine and MRI to study myocardial perfusion and ischemia Investigates sex-specific and comorbidity-related factors in diagnostic outcomes Advocates for cost-effective, patient-tailored cardiac care strategies Her recent work highlights the prognostic value of exercise ECG paired with SPECT imaging and explores PET-based myocardial blood flow quantification. No scientific awards are listed here. Collaborations include international teams in cardiology and imaging research (details available via the university's collaboration network). No advising or grant information is explicitly mentioned in the provided text. The Lund Cardiac MR Group provides a platform for interdisciplinary cardiac imaging studies.

Anthony H. AletrasView profile

Professor

• Cardiovascular Magnetic Resonance Imaging
• Fetal Diagnostics
• Medical Imaging Technologies
• +3 more

Anthony H. Aletras is a dual-affiliated academic serving as a Researcher at Lund University's Lund Cardiac MR Group (Medical Faculty) and as Director/Professor of Biomedicine and Imaging Technologies at Aristotle University of Thessaloniki's School of Medicine. He holds a BSc in Electrical Engineering from Aristotle University and a PhD in Biomedical Engineering from The Ohio State University (1996). His postdoctoral work at NIH's Laboratory of Cardiac Energetics (until 2010) and prior role as Chairman/Professor at University of Thessaly (until 2014) further highlight his academic trajectory. Research focuses on cardiovascular MRI technology, fetal diagnostics, and innovations like DENSE strain imaging and CEST contrast agents. His work contributes to UN SDG goals in health and well-being. Notable achievements include pioneering Area-At-Risk determination via intramyocardial edema and advancing CMR perfusion mapping techniques. Recent projects include an advanced fetal imaging initiative (Swedish Research Council, 2024–2028) and technical developments in exercise cardiac MRI. His 91+ publications span MRI simulation, fetal blood oxygenation measurement, and infarct quantification validation across centers/vendors. Award-winning mentorship includes supervising student T. Lala in MRI research. His labs integrate medical imaging with AI and computational methods, emphasizing cloud-based simulation tools like coreMRI. Active collaborations span global institutions, reflecting his leadership in cardiovascular imaging innovation.

• Cardiovascular Medicine
• Cardiovascular Imaging
• Molecular Pathways
• +5 more

Dr. Stephanie L. Thorn is an Assistant Professor in the Section of Cardiovascular Medicine at Yale School of Medicine. She serves as the Associate Director of the Yale Translational Research Imaging Center (Y-TRIC), where she leads innovative research in cardiovascular imaging techniques. Dr. Thorn received her PhD from the University of Ottawa in Cellular and Molecular Medicine in 2013, following an MSc from the University of Guelph in Human Biology and Nutritional Sciences (2003) and a BSc (Hon) in Human Kinetics (2001). Her research focuses on advanced cardiovascular imaging using PET, SPECT, and CT technologies to develop novel approaches for interrogating molecular pathways, quantifying blood flow, and assessing alterations in myocardial function. Dr. Thorn's work specifically targets translational research in ischemia-reperfusion remodeling, myocardial infarction, and right ventricular heart failure. Dr. Thorn's publication record demonstrates significant contributions to the field of molecular imaging, particularly in fibroblast activation protein imaging post-myocardial infarction, cardiac CT segmentation using foundation models, and vascular imaging applications. Her research bridges the gap between basic science and clinical applications, with emphasis on improving diagnostic and therapeutic strategies for cardiovascular diseases. Early detection of lung injury and matrix metalloproteinase activation in ARDS Using foundation models for pre-clinical 4D cardiac CT segmentation Right and left ventricular myocardial blood flow as predictors of heart failure Molecular imaging of fibroblast activation protein in cardiac remodeling Dr. Thorn collaborates extensively with researchers including Albert Sinusas, Chi Liu, Edward J Miller, Yi-Hwa Liu, Alaa Alashi, and Santiago Callegari, reflecting the interdisciplinary nature of her work at the intersection of cardiology, imaging science, and translational medicine. Her laboratory at the Yale Translational Research Imaging Center (Y-TRIC) focuses on developing and applying advanced imaging techniques to better understand cardiovascular pathophysiology and improve patient outcomes.

Gwyn GouldView profile

Professor

• Glucose Transport
• Membrane Trafficking
• Diabetes
• +3 more

Prof Gwyn Gould is a Professor at the University of Strathclyde’s Strathclyde Institute Of Pharmacy And Biomedical Sciences. He leads research on glucose transport mechanisms, particularly insulin-regulated GLUT4 trafficking in adipocytes, cardiomyocytes, and skeletal muscle. His work integrates cutting-edge imaging techniques like STED-FCS and dSTORM to study membrane dynamics in health and disease. He holds a PhD from the University of Southampton (1986) and has held positions at Dartmouth Medical School and the University of Glasgow before joining SIPBS in 2019. Research interests include diabetes, cardiovascular disease, and the molecular machinery controlling insulin signaling pathways. Awards include a Wellcome Trust Research Leave Award (2004) and Fellowship of the Learned Society of Wales (2025). His lab employs models such as genome-edited adipocytes, iPSC-derived cardiomyocytes, and Saccharomyces cerevisiae to study membrane trafficking. Equipment includes advanced centrifuges and imaging systems. He supervises PhD students and accepts research projects in GLUT4 biogenesis, SNARE regulation, and imaging innovations.

• Cardiovascular MRI
• Medical Imaging
• Magnetic Resonance Imaging
• +3 more

Frederick Epstein is a Professor in the Department of Radiology and Medical Imaging at the University of Virginia School of Medicine. With an h-index of 61 and over 12,000 citations, he is a leading researcher in cardiovascular magnetic resonance imaging with a particular focus on developing novel MRI techniques for cardiac mechanics assessment and molecular imaging applications. Dr. Epstein's research spans multiple areas of cardiovascular imaging including myocardial tissue tagging, displacement encoding with stimulated echoes (DENSE), quantitative perfusion imaging, and molecular imaging of cardiac fibrosis. His work bridges engineering and clinical cardiology, developing innovative MRI methodologies that have transformed how we assess cardiac function and disease. His research has been particularly influential in the areas of myocardial mechanics quantification, cardiac strain analysis, and molecular imaging of myocardial scar and fibrosis. Analysis of his recent publications (2010-2015) reveals a strong focus on advanced cardiac mechanics assessment using 3D DENSE techniques, quantitative perfusion analysis for coronary artery disease, and molecular imaging of myocardial fibrosis. His work consistently combines technical innovation with important clinical applications, particularly in heart failure, myocardial infarction, and hypertensive heart disease. Dr. Epstein has received significant recognition through his extensive publication record and high citation metrics, though specific awards are not mentioned in the available information. His research has been supported by substantial funding, enabling him to maintain an active laboratory investigating novel cardiovascular imaging techniques. He has mentored numerous students and collaborators, as evidenced by his extensive co-author network spanning multiple institutions. His work frequently involves translational research, moving from small animal models to clinical applications, particularly in the areas of myocardial infarction and cardiac mechanics assessment.

Pankaj GargView profile

Associate Professor

• Cardiovascular Medicine
• Cardiac Magnetic Resonance Imaging
• 4D Flow MRI
• +7 more

Pankaj Garg is an Associate Professor in Cardiovascular Medicine at the University of East Anglia, affiliated with the Norwich Medical School, and serves as an Honorary Consultant Cardiologist at Norfolk and Norwich University Hospitals Foundation Trust. His academic and clinical work bridges advanced cardiovascular imaging and patient care, with a strong emphasis on translational research. Education: MD (Honours), I.M. Sechenov, 2003 MRCP (UK), Royal College of Physicians, 2009 PG Cert. M.Ed., University of Dundee, 2011 FHEA (UK), Higher Education Academy, 2011 PhD, University of Leeds, 2017 FESC, European Society of Cardiology, 2020 Research Interests: Pankaj Garg's research is centered on developing and translating novel imaging techniques in cardiovascular medicine. His primary focus is on Cardiac Magnetic Resonance (CMR) and 4D flow imaging, aiming to improve the non-invasive assessment of hemodynamics in conditions such as heart failure, valvular disease, and pulmonary hypertension. He explores the interface between cardiovascular flow and cardiac remodeling, with a strong interest in applying artificial intelligence to accelerate and enhance image analysis. Recent Research Trends: His recent publications highlight a strong trend in developing non-invasive biomarkers using CMR, including models to estimate left ventricular filling pressure, right atrial pressure, and pulmonary capillary wedge pressure. He is also advancing AI-driven segmentation and quantification tools, validating 4D flow against echocardiography, and investigating sex-specific differences in cardiovascular physiology. His work consistently emphasizes clinical relevance, prognostic value, and improved diagnostic accuracy. Scientific Awards and Memberships: Fellow of the European Society of Cardiology (FESC) Fellow of the Higher Education Academy (FHEA) Member of British Cardiac Society (BCS) Member of British Society of Cardiovascular Magnetic Resonance (BSCMR) Member of Society for Cardiovascular Magnetic Resonance (SCMR, US) Advising and Grants: Dr. Garg leads multiple externally funded research projects, including grants from the British Heart Foundation, Wellcome Trust, and Edwards Lifesciences Ltd. These projects focus on advanced pulmonary flow hemodynamics, right heart flow in heart failure, and novel non-invasive methods in HFpEF. He mentors researchers and collaborates widely, indicating active supervision and leadership in his field. Labs and Teams: He leads the Cardiovascular Imaging Science Lab at the University of East Anglia and collaborates with multidisciplinary teams across institutions, including the University of Sheffield and University of Leeds. His network includes experts in cardiology, radiology, biomedical engineering, and AI, supporting a robust translational research environment.

• Genomics
• Computational Biology
• Cardiovascular Medicine
• +7 more

Dr Albert Henry is an Honorary Research Fellow at the Institute of Cardiovascular Science and a Research Associate at the UCL Institute of Health Informatics / Health Data Research UK. A former clinician (general practitioner) and data scientist, he applies computational approaches to elucidate causal biology and inform therapeutic development using genomics, molecular traits, and deep phenotype datasets. He co-leads the UCL Code Club , promoting coding best practices in research. Education: BHF Cardiovascular Biomedicine PhD student at UCL Research Interests span genomics, computational biology, and biostatistics to dissect cardiovascular disease mechanisms. His work focuses on genome-wide association studies (GWAS) , proteogenomics, and Mendelian randomization to identify therapeutic targets and understand disease etiology. Publications highlight trends in heart failure subtypes , dilated cardiomyopathy , myocardial resilience , and cardiotoxicity . Key methodologies include multi-ancestry GWAS , proteomics , and population biobank analyses . Additional Contributions include co-leading the UCL Code Club and integrating clinical experience with data science. His affiliations with UCL span multiple institutes, reflecting interdisciplinary research.

• Cardiology
• Cardiovascular Research
• Medical Imaging
• +3 more

Katharina Riedl is a researcher at the Clinic and Polyclinic for Cardiology at the University Medical Center Hamburg-Eppendorf (UKE). Her work focuses on cardiovascular imaging and machine learning applications in cardiology, particularly in intravascular ultrasound (IVUS) and cardiovascular magnetic resonance (CMR) . Her research explores thrombogenicity of coronary stents, post-COVID multi-organ effects, myocardial scar detection, and AI-driven segmentation of vascular images. Key trends in her publications include automated delineation of coronary structures , FFR (fractional flow reserve) analysis , and myocarditis recovery mechanisms . She collaborates extensively within the Hamburg City Health Study and contributes to multi-organ assessment post-SARS-CoV-2 infection. Her work integrates advanced imaging techniques with computational modeling and clinical data analysis to improve diagnostic and therapeutic strategies in cardiology.

Lee R. GoldbergView profile

Professor

• Advanced heart failure
• Cardiac transplantation
• Ventricular assist devices
• +6 more

Lee R. Goldberg, MD, MPH is Professor of Medicine (Cardiovascular Medicine) at the Perelman School of Medicine, University of Pennsylvania, where he serves as Section Chief of Advanced Heart Failure and Cardiac Transplant, Vice Chair for Informatics in the Department of Medicine, and Disease Team Lead for Heart Failure. He is active medical staff at the Hospital of the University of Pennsylvania, Presbyterian Medical Center, and Good Shepherd Penn Partners Specialty Hospital at Rittenhouse. Education A.B. (cum laude), Biology and Government, Cornell University, 1988 M.D. (cum laude), Boston University School of Medicine, 1992 M.P.H., Clinical Effectiveness, Harvard School of Public Health, 1999 Research & Clinical Interests Dr. Goldberg’s scholarly work integrates advanced heart-failure therapeutics with health-technology innovation. His research portfolio spans cardiac transplantation, ventricular assist devices, telemedicine‐enabled disease management, sleep-disordered breathing in cardiovascular disease, and the use of electronic health records for large-scale outcomes research. He leads multi-center trials evaluating novel implantable devices such as synchronized diaphragmatic stimulation systems, and national quality-improvement initiatives like IMPLEMENT-HF that benchmark guideline adherence across U.S. centers. Clinically, he specializes in the comprehensive care of patients with end-stage heart failure, cardiomyopathy, myocarditis, and complex congenital heart disease, employing state-of-the-art hemodynamic assessment, cardiac imaging (PET/MRI), and individualized immunosuppressive strategies. Publications Trend Over the past decade Dr. Goldberg has published >200 peer-reviewed articles. Recent work (2022-2025) emphasizes pragmatic clinical trials, real-world effectiveness data, and precision phenotyping of heart-failure patients using multimodality imaging. His 2025 output highlights breakthrough device trials (diaphragmatic stimulation), national quality-improvement registries, and novel PET imaging protocols for cardiac sarcoidosis, reflecting a translational pipeline from bench innovation to bedside implementation. Scientific Awards & Recognition Consistently named among "Top Doctors" in Philadelphia Magazine and Castle Connolly guides Recipient of multiple NIH and industry-funded grants for heart-failure and transplant research Invited lecturer at major cardiovascular conferences including AHA, HFSA, and ISHLT Leadership & Mentorship As Vice Chair for Informatics, Dr. Goldberg spearheads initiatives that leverage the electronic health record for population health management and clinical decision support across Penn Medicine. He mentors cardiology fellows and junior faculty in advanced heart-failure/transplant training pathways, fostering the next generation of clinician-scientists. His team participates in multi-institutional consortiums including the HF-ACTION, IMPLEMENT-HF, and remedē System post-market surveillance networks.

• Positron Emission Tomography (PET)
• Magnetic Resonance Imaging (MRI)
• Biomedical Informatics
• +4 more

Thibault Marin, PhD, is an Assistant Professor at the Yale School of Medicine in both the Department of Radiology & Biomedical Imaging and the Biomedical Informatics & Data Science program. He is affiliated with the Bioimaging Sciences Division , Center for Brain & Mind Health , and Center for Molecular Imaging Technology and Translation (CMITT) . Education: PhD in Electrical Engineering from Illinois Institute of Technology (2010) Key Collaborations: Georges El Fakhri, Chao Ma, Yue Zhuo, Jinsong Ouyang, Paul Han His research focuses on PET/MRI instrumentation , dynamic imaging reconstruction , and motion correction algorithms . He develops diffusion models for tumor segmentation and Bayesian methods for kinetic parameter estimation, contributing to advancements in radiomics-driven radiotherapy and ultra-high resolution PET systems . Recent publications highlight innovations in TOF-DOI panel detectors , linear tangent space alignment (LTSA) for cardiac imaging, and adversarial domain generalization for PET denoising. His work bridges biomedical engineering , machine learning , and clinical imaging applications .