Dr. Tamang is an Instructor at the Department of Biomedical Data Science, Stanford University School of Medicine and a computer scientist at the Palo Alto VA Program Evaluation Resource Center. She draws on her training in computer science, biology, health services research and biomedical informatics, to work with interdisciplinary teams of experts on important population health problems of public interest. Integral to her work, is the analysis of large and complex population-based datasets, using techniques from machine learning and natural language processing. She has extensive experience transforming and analyzing US and Danish population-based registries, Electronic Medical Records, healthcare 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.
In this session from “Understanding and Eliminating Bias in HSR Methods: Approaches to Anti-racist Research Design, Analysis, and Dissemination,” presenters discuss methods including community-based participatory research as well as the use of big data to improve outcomes.