School of Medicine
Showing 1-50 of 53 Results
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Mina Sarah Ally, MD
Clinical Assistant Professor (Affiliated), Dermatology
Staff, DermatologyBioMina Ally, M.D., is Clinical Assistant Professor (Affiliated) at Stanford and the Director of Supportive Dermato-Oncology (SDO) at Santa Clara Valley Medical Center. She completed a post-doctoral clinical research fellowship in dermatology at Stanford University and subsequently also completed her dermatology residency at Stanford. Dr. Ally’s clinical interests include SDO, which involves managing the cutaneous side effects of chemotherapy, radiation therapy and immunotherapy in patients with cancer.
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Vanessa Nava
MD Student, expected graduation Winter 2027
Stanford Student Employee, DermatologyBioVanessa Nava is a first year medical student interested in Mental Health, Culinary Medicine, and Social Justice. She has co-authored several publications with Dr. Eleni Linos in the Department of Dermatology. https://pcrt.stanford.edu/linoslab She enjoys mentoring low-income, first-generation students.
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Eon Joseph Rios, MD, PhD
Clinical Assistant Professor (Affiliated), Dermatology
Staff, DermatologyBioEon Rios, M.D., Ph.D., is a Clinical Assistant Professor (Affiliated) of Dermatology at Stanford University and Attending Physician at Santa Clara Valley Medical Center. His research interests span basic science investigations studying non-coding regulators of epidermal differentiation to investigations of the skin and gut Microbiome in dermatology patients. Clinically he is interested in general and complex medical dermatology.
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Suhas Srinivasan, Ph.D.
Principal Bioinformatics Scientist, Dermatology
BioI develop computational methods to discover insights at various resolutions of the biological hierarchy i.e., molecules, cells, tissues, organs, organism and population-scale.
In my current role, I lead the bioinformatics efforts for two groups that are pioneers in epigenomics research.
We study tissue development, cancer evolution, and autoimmunity using multiomics, with a focus on the non-coding genome.
I have a total of seven years of academic research experience and three years of industry experience.
I received my Ph.D. in Data Science specializing in machine learning development for diverse life science problems.
My research interests include artificial intelligence to identify novel patterns in multiomics data, psychometrics and neuroimaging data; structural bioinformatics and computational epidemiology. Additionally, I have conducted research in anomaly detection, and community detection in biological networks.
I am the co-inventor of a patented anomaly detection method for real-time streaming data.
