Cardiovascular Medicine
Showing 61-80 of 248 Results
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Joshua Gillard
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Josh Gillard is a Canadian biomedical data scientist with experience in bioinformatics, machine learning, and immunology. After completing a BSc and a MSc in Experimental Medicine at McGill university, he relocated to the Netherlands for his PhD in bioinformatics at Radboud University in Nijmegen. During his PhD, he gained experience analyzing and interpreting complex immunological data (bulk and single-cell transcriptomics, high-dimensional cytometry, high-throughput proteomics) derived from human observational or intervention studies (vaccination and experimental human infection). This work revealed molecular and cellular correlates of clinically important endpoints such as disease severity, symptom progression, and antibody responses. In 2022, Josh relocated to Stanford to join the Gaudilliere lab to develop and apply multi-omic data integration and machine learning techniques, establishing that early gestational immune dysregulation can predict preterm birth. Since 2024, in the Ashley lab, Josh is developing deep learning models to investigate aberrant splicing in cardiovascular disease.
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Bruna Gomes
Assistant Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsThe Gomes Lab is interested in AI agents and causal discovery methods that trace how genetic variation acts through proteins and other molecular traits to cause heart disease, and it advances promising candidate targets to experimental validation. In parallel, with support from an American Heart Association Career Development Award, the lab studies the causal protein drivers of cardiac fibrosis and develops methods to characterize myocardial tissue from routine cine MRI.
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Shreya Gupta
Postdoctoral Scholar, Cardiovascular Medicine
Current Research and Scholarly InterestsI am a biomedical researcher focused on understanding the molecular mechanisms governing vascular smooth muscle cell (SMC) behavior in cardiovascular and metabolic diseases. My work investigates how signaling pathways, including Notch3 and Thrombospondin-1, regulate SMC phenotypic switching, fibrous cap stability, and plaque vulnerability in atherosclerosis, with the goal of identifying novel therapeutic targets to prevent heart attacks and strokes.
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Edward Guzman
Postdoctoral Scholar, Cardiovascular Medicine
BioEdward Guzman is a postdoctoral fellow in cardiovascular medicine at Stanford University. He earned his Ph.D. from Harvard University in collaboration with the Massachusetts Institute of Technology (MIT), focusing on RNA treatments for vascular diseases. His research has advanced the development of novel cardiovascular therapies and deepened our understanding of endothelial cell biology under diseased conditions.
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Francois Haddad
Clinical Professor, Medicine - Cardiovascular Medicine
BioDr. Francois Haddad, MD is a Clinical Professor of Medicine that specializes in the field of cardio-vascular imaging, pulmonary hypertension, advanced heart failure and transplantation. Dr. Haddad has over 18 years of practice in the field of cardiology. He directs Stanford Cardiovascular Institute Biomarker and Phenotypic Core Laboratory dedicated to translational studies in cardiovascular medicine. The laboratory focuses on (1) identifying early biomarkers of heart failure and aging, (2) bioengineering approaches to cardiovascular disease modeling and (3) novel informatic approach for the detection and risk stratification of disease. He is involved is several precision medicine initiatives in health including the Project Baseline, the Integrated Personalized Omics Profiling Initiative, the Athletic screening program at Stanford and the Strong-D cardiac rehabilitation initiative in individuals with diabetes mellitus.
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Christiane Haeffele
Clinical Associate Professor, Medicine - Cardiovascular Medicine
Current Research and Scholarly InterestsAdult Congenital Heart Disease
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William Haskell
Professor (Research) of Medicine, Emeritus
Current Research and Scholarly InterestsMy major research interests and activities over the next several years will focus on the development and evaluation of the objective measurement of physical activity in free-living populations using a variety of sensing devices and mobile phones for data collection and processing. Also, I will continue to direct the Stanford Heart Network with the major mission being to assist community-based CVD prevention/treatment programs implement more effective heart attack and stroke prevention programs.
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Paul Heidenreich, MD
Professor of Medicine (Cardiovascular)
Current Research and Scholarly InterestsMy research interests include
1) The cost-effectiveness of new cardiovascular technologies.
Example: tests to screen asymptomatic patients for left ventricular systolic dysfunction.
2) Interventions to improve the quality of care of patients with heart disease. Examples: include clinical reminders and home monitoring.
3) Outcomes research using existing clinical and administrative datasets.
4) Use of echocardiography to predict prognosis (e.g. diastolic dysfunction). -
Benjamin Davies Horne
Adjunct Clinical Associate Professor, Medicine - Cardiovascular Medicine
BioDr. Benjamin Horne is an Adjunct Clinical Associate Professor who is based at the Intermountain Medical Center Heart Institute in Salt Lake City, UT, where he serves as the Director of Cardiovascular and Genetic Epidemiology. His doctoral training (PhD) in genetic epidemiology was completed at the University of Utah and he holds masters degrees in public health and in biostatistics. Dr. Horne is a fellow of the American Heart Association, a fellow of the American College of Cardiology, and a member of the American Society of Human Genetics. Dr. Horne’s research focuses on population health and precision medicine, including evaluating the genetic epidemiology of heart diseases, developing and implementing clinical decision tools for personalizing medical care, discovering the human health effects of intermittent fasting, and studying the influences of air pollution on major adverse health events.
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Stephanie Hsiao, MD
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Stephanie Hsiao is a clinical assistant professor at Stanford Medicine and a full-time advanced heart failure/transplant cardiologist at the Palo Alto VA. She is the associate program director of the Stanford Cardiology Fellowship and the site director of Palo Alto VA. She grew up in Taipei, Taiwan. She attended undergraduate at UC Berkeley and obtained her Master’s degree in Pharmacology at Cambridge University in the UK. She obtained her M.D. from UC San Francisco. She completed her Internal Medicine residency and General Cardiology fellowship at the California Pacific Medical Center in San Francisco, where she served as the chief resident and chief cardiology fellow. She completed her advanced heart failure/transplant cardiology fellowship at Stanford in June 2022 and joined the Stanford Faculty soon after. She has a strong interest in medical education and quality improvement. Her clinical interests include HF outreach in the VA health care systems, cardiology fellowship curriculum design/development and humanism in medicine. Her research interests include multi-organ transplantations, advanced HF therapies for the underserved and CardioPalliative integration. She plans to lead a career in medical education and quality improvement to deliver exceptional and equitable care for patients needing advanced HF therapies.
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Jiaqi Hu
Postdoctoral Scholar, Cardiovascular Medicine
BioJiaqi Hu is a Postdoctoral Scholar at Stanford University, supervised by Drs. Tim Assimes and Shoa Clarke. She received her PhD in Chronic Disease Epidemiology from the Yale School of Public Health in 2026 and her Bachelor of Arts degree from Peking University in 2021. Her research focuses on identifying genetic variants underlying complex diseases, applying polygenic scores for disease risk prediction and subtype identification, and integrating genetic, environmental, and clinical data to improve individual-level risk stratification.
