School of Medicine
Showing 601-650 of 986 Results
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Carson T. Moss
Affiliate, Department Funds
Resident in MedicineBioDr. Carson T. Moss is an Internal Medicine resident at Stanford and incoming Pulmonary and Critical Care Medicine fellow, starting in 2026. He has contributed to multicenter clinical trials including STOP-BOS, ATHOS-III, and PETAL-ROSE. His clinical and research focus centers on pulmonary complications in immunocompromised patients, with particular expertise in bronchiolitis obliterans syndrome (BOS), a rare manifestation of chronic graft-versus-host disease (cGVHD) following allogeneic hematopoietic stem cell transplantation. His work with Dr. Joe Hsu has been published in Blood Advances and Transplantation and Cellular Therapy, with findings presented at annual ATS meetings.
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Patricia Moussatche
CTSA Hub QA/QC Project Manager, Translational Research Operations
Current Role at StanfordCTSA Hub QA/QC Program Manager
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Kevin Nee, MD, PhD
Affiliate, Department Funds
Resident in SurgeryBioDr. Nee is a general surgery resident at Stanford, Department of Surgery. He completed his MD/PhD training at UC Irvine: School of Medicine in the Medical Scientist Training Program. His dissertation research focused on defining pericytes, fibroblasts, and adipocytes in breast cancer using single-cell RNA sequencing.
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Ariadne Nichol
Affiliate, Department Funds
Resident in MedicineBioAriadne Nichol is a researcher at the Stanford Center for Biomedical Ethics. She earned her bachelors degree in Human Biology from Stanford University, where she graduated with Honors in Ethics in Society and was a Public Service Scholar. She has previously worked on global public health research ethics topics at Doctors Without Borders and at the World Health Organization (WHO). Her work has been published in multiple peer-reviewed journals including the American Journal of Bioethics, PLOS One, and JAMA Network Open. Her research areas of interest include ethical issues of biomedical research in vulnerable populations, as well as the ethical and social issues raised by application of big data and machine learning in health care and pharmacogenetics.
