Dr. Tamang is the Assistant Faculty Director, Data Science, at the Stanford Center for Population Health Science and an Instructor at the Department of Biomedical Data Science, Stanford University School of Medicine. As a computer scientist with training in biology, health services research and biomedical informatics, Dr. Tamang works with interdisciplinary teams of experts on population health problems of public interest. Integral to her work, is the analysis of large and complex population-based datasets, using techniques from natural language processing, machine learning and deep learning. She brings extensive experience with US and Danish population-based registries, Electronic Medical Records from various vendors, administrative claims and other types of observational health and demographic data sources in the US and internationally; also, constructing, populating and applying knowledge-bases for automated reasoning. Dr. Tamang has developed open source tools for the extraction of health information from unstructured free-text patient notes and licensed machine learning prediction models to Silicon Valley health analytics startups. She is also affiliated with the Department of Veterans Affairs, the National Bureau of Economic Review, the Department of Rheumatology, University of California San Francisco and in Denmark, the Department of Clinical Epidemiology, Arhaus University. In addition to her more traditional research activities, she also functions as the faculty mentor for the Stanford community working group Stats for Good.