School of Medicine
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Research Assistant, Dermatology
BioResearch Assistant for the Program for Clinical Research and Technology. Our research is focused on Skin Cancer Prevention and Public Health. See our work on promoting COVID-19 Vaccinations: https://pcrt.stanford.edu/linoslab
I aspire to become an MD and serve vulnerable communities. I aim to advocate for underserved communities through community health and public health research.
Buck Institute for Research on Aging:
1. Metformin extends the lifespan of iMSUD mice by rescuing physiologic dysfunction and modulating mechanisms of mTORC1 activation
Stanford Program for Clinical Research and Technology:
1. US Public Concerns About the COVID-19 Pandemic From Results of a Survey Given via Social Media
2. California wildfires: impact of air pollution during the covid-19 pandemic
3. Barriers and facilitators to mobile health and active surveillance use among older adults with skin disease
Kristin M. Nord, MD
Clinical Professor, Dermatology
BioKristin M. Nord, M.D., is a Clinical Professor of Dermatology and has served as Residency Program Director since 2012. Dr. Nord received her doctor of medicine from the Columbia University College of Physicians and Surgeons, and completed her residency in Dermatology at New York Presbyterian-Columbia University Medical Center. Dr. Nord is Attending Physician at the VA Palo Alto Health Care System, where her clinical interests are general dermatology, complex medical dermatology and procedural dermatology, and she serves as Assistant Chief of Dermatologic Surgery. Her research focus is on skin cancer education and prevention, and she is co-faculty lead for SUNSPORT (Stanford University Sun Protection Outreach Research and Teamwork).
Roberto Novoa, MD
Clinical Associate Professor, Pathology
Clinical Associate Professor, Dermatology
Current Research and Scholarly InterestsMy research interests include the medical applications of artificial intelligence, cutaneous lymphoma, and the side effects of targeted therapies. I have served as the lead dermatologist in our ongoing effort to develop AI-augmented classification of skin lesions. We are in the process of establishing one of the first prospective studies examining the performance of a deep learning algorithm in real-world patients.