Stanford University
Showing 731-740 of 2,401 Results
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Neel K. Gupta
Clinical Associate Professor, Medicine - Oncology
Current Research and Scholarly InterestsI have specific interest in the pathobiology and management of individuals with AIDS-related and primary central nervous system lymphomas.
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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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Biki Gupta
Basic Life Research Scientist, Medicine - Med/Blood and Marrow Transplantation
Current Role at StanfordBasic Life Research Scientist
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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.
