Stanford University
Showing 741-750 of 2,414 Results
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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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David Ross Ha
Lecturer, Medicine - Med/Infectious Diseases
BioDr. David Ha, PharmD is Lecturer with the Stanford University School of Medicine Division of Infectious Diseases and Geographic Medicine and Manager of Antimicrobial Stewardship at Stanford Health Care in Stanford, California. Dr. Ha's professional interests include mentorship of trainees, antimicrobial stewardship, and quality improvement.
Publications: https://www.ncbi.nlm.nih.gov/myncbi/david.ha.3/bibliography/public/ -
Richard Haarburger
Postdoctoral Scholar, General Internal Medicine
BioRichard Haarburger is a postdoctoral scholar in the Department of Medicine (Primary Care and Population Health) at Stanford University, working in the lab of Pascal Geldsetzer. He studies questions at the intersection of epidemiology, health policy, and applied econometrics, with a focus on causal inference in large real-world health datasets.
His current work uses quasi-experimental and survival analysis methods to evaluate how preventive interventions (e.g. herpes zoster vaccinations) affect neurological outcomes such as dementia incidence at the population level. He also develops empirical strategies for dealing with challenges common in observational health data, including treatment effect heterogeneity, incomplete outcome follow-up, and competing risks.
Richard’s broader research interests include impact evaluation methods, causal machine learning, and the health and economic consequences of new technologies. During his PhD in quantitative economics, he worked on measurement bias in health surveys, high-dimensional forecasting, and heterogeneity in technology adoption.
