I am a graduate of the Johns Hopkins School of Medicine: Medical Scientist Training/MD-PhD Program, and I am currently a resident in the University of California, Los Angeles (UCLA) Specialty Training and Advanced Research (STAR) Program and dermatology residency.

My interests include: precision dermatology, preventive medicine, public health, data science, augmented/artificial intelligence, and digital health.

I am a recipient of the Dermatology Foundation: Dermatologist Investigator Research Fellowship, and I am currently conducting research in Dr. Aydogan Ozcan’s lab to improve the diagnosis and management of inflammatory skin diseases. Additionally, I serve on the American Academy of Dermatology (AAD) Augmented Intelligence Committee and the Society for Imaging Informatics in Medicine (SIIM) Enterprise Imaging Committee.

Previously, I have performed research in computational medicine as part of the Hopkins Individualized Health Initiative to improve disease prevention, diagnosis, and treatment through data science and predictive analytics. With support from the NIH F30 Ruth L. Kirschstein National Research Service Award, I completed my PhD in biomedical engineering with a focus on machine learning for clinical risk prediction, under the mentorship of Dr. Scott Zeger, the John C. Malone Professor of Biostatistics and Medicine.

Before starting my training as a physician scientist at Hopkins, I completed my undergraduate studies in bioengineering and biomedical research at the University of California, Los Angeles (UCLA). At UCLA, I also performed tissue engineering research in Dr. Benjamin Wu’s lab as a Howard Hughes Undergraduate Research Program Scholar and Goldwater Scholar.

Contact information: swongvibulsin at mednet dot ucla dot edu