School of Medicine
Showing 8,191-8,200 of 13,046 Results
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Vy H. Nguyen, MD
Resident in Medicine
Current Role at StanfordInternal Medicine Resident
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Jennifer Ni
Adjunct Clinical Assistant Professor, Pediatrics - Endocrinology
BioI grew up mainly in the Bay Area of California, attending UC Berkeley for undergraduate (Go Bears!) with a major in Bioengineering. After a gap year working at a biotech start up, I traveled to the East Coast for medical school at the University of Pittsburgh, and then back to my birth state of Texas for residency at UT Southwestern. During my experiences in medical school and residency, I discovered that I enjoyed the logic of thinking through signaling pathways to understand the pathophysiology of endocrine disorders. In the future, I hope to combine my background in engineering with my passion for medicine to advance the field of endocrinology, especially in diabetes management. I am very excited to return to the Bay Area for fellowship in Pediatric Endocrinology. Outside of the hospital, I enjoy baking sweet treats, trying new restaurants, and running.
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Ariadne Nichol
Affiliate, Department Funds
Resident in MedicineBioAriadne Nichol is a resident physician in Internal Medicine at Stanford and a researcher at the Stanford Center for Biomedical Ethics. She earned her bachelor’s degree in Human Biology from Stanford University, where she graduated with Honors in Ethics in Society and was named a Public Service Scholar. She earned her medical degree from the UC San Diego School of Medicine, where she developed a biomedical ethics course and received a teaching award from the School of Medicine. She has previously worked on global public health research ethics topics with the World Health Organization, Doctors Without Borders, and the National Public Health Organization of Greece. Her work has been published in several peer-reviewed journals, including the American Journal of Bioethics, PLOS ONE, and JAMA Network Open. Her research interests include ethical issues in biomedical research involving vulnerable populations, as well as the ethical and social implications of big data and machine learning in health care and for precision medicine.
