School of Medicine
Showing 231-240 of 253 Results
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Susan Ziolkowski, MD
Clinical Assistant Professor, Medicine - Nephrology
BioDr. Ziolkowski is a board-certified nephrologist with a passion for caring for persons with chronic kidney disease. She is a clinical assistant professor in the Stanford Department of Medicine’s Division of Nephrology and has a special focus on treating patients with cancer and kidney disease. She is active both in research and teaching endeavors to further advance this field.
She provides patient care at the Stanford Health Care kidney clinics in Palo Alto and Emeryville. For each patient, she prepares a care plan that is comprehensive, compassionate, and personalized to individual needs. Her goal is to help every patient achieve the best possible health and quality of life.
Dr. Ziolkowski has co-authored articles on her research findings in the American Journal of Kidney Disease, Journal of Renal Nutrition, Peritoneal Dialysis International, and other journals. She has made presentations to her peers at meetings of the American Society of Nephrology, National Association for Research in Science Teaching, and other professional organizations.
She enjoys running, yoga, skiing and getting outdoors. -
Andrew Zolopa
Professor of Medicine (Infectious Diseases) at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsDr. Zolopas research applies a variety of clinical epidemiologic methods in an effort to optimize antiretroviral therapy and understand the impact of drug resistance on response to ARV. Areas of focus include the clinical application of resistance testing in optimizing antiretroviral therapy, clinical cohorts, trials of antiretroviral therapies and population-based epidemiologic evaluation of HIV resistance and efficacy of ARV therapy. More recently studies focused on premature aging in HIV.
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James Zou
Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsMy group works on both foundations of statistical machine learning and applications in biomedicine and healthcare. We develop new technologies that make ML more accountable to humans, more reliable/robust and reveals core scientific insights.
We want our ML to be impactful and beneficial, and as such, we are deeply motivated by transformative applications in biotech and health. We collaborate with and advise many academic and industry groups.
