Latest information on COVID-19
Support teaching, research, and patient care.
I am a physicist by training and data scientist at heart. As the Biomedical Informatics R&D lead of the Research IT team, I am passionate about our mission to build the next generation of products to leverage healthcare research and analytics. As the Product owner for STARR, Stanford Medicine Research data Repository, and STARR-OMOP, Stanford's next-generation Clinical Data Warehouse (CDW), I am super excited to be part of the vision to create a single integrated data lake containing clinical data of different modalities such as radiology, pathology, and bedside monitoring. Our goal is to bring clinical data from its raw state to an “analysis-ready” state and eventually make the data “self-service" in order to support the growing use of this data to derive novel insights, support patient care, and improve care quality using Artificial Intelligence (AI) and Machine Learning (ML) approaches. I’ve had the privilege of working on many different data-centric projects here at Stanford and elsewhere, including developing the algorithms for SciReader: a cloud-based recommender system for biomedical literature. Prior to transitioning to healthcare and medicine, I was a research analyst at Chandra X-ray Observatory and the Solar Dynamics Observatory.
Manager, Biomedical Informatics R &D
Painting, gardening, sewing, cooking, and hiking!
Women in Data Science, Women in STEM, OHDSI Network