People
Daniel L. Rubin, M.D., M.S.
Assistant Professor of Radiology
Daniel Rubin is Assistant Professor in the Department of Radiology at Stanford University. Work in the lab lies at the intersection of biomedical informatics and imaging science. His NIH-funded research program focuses on developing informatics methods of knowledge representation, natural language processing, and decision support to improve the quality and consistency of radiology practice. Major projects include (1) developing methods to extract information and meaning from images for data mining, (2) developing statistical natural language processing methods to extract and summarize information in radiology reports and published articles, (3) resources to integrate images with related clinical and molecular data to discover novel image biomarkers of disease, and (4) translating these methods into practice by creating decision support applications that relate radiology findings to diagnoses and that will improve diagnostic accuracy and clinical effectiveness.
Ankit Gupta
Graduate Student – Computer Science
Ankit received a bachelor's degree in computer science from the Indian Institute of Information Technology. He is currently working on image analysis to characterize the margin of lesions for content based image retrieval in radiology.
Bao Dao
Radiology Resident
Bao is interested in leveraging radiology image and report data to drive discovery and improve patient care. He is currently developing natural language processing methods to detect uncertainty in radiology reports and to extract findings. He has developed a searchable database of radiology reports.
Irene Liu
Medical Student
Irene is interested in creating decision support applications to improve the consistency in radiology interpretation. She is developing Bayesian Network models of thyroid imaging to help radiologists evaluate thyroid nodules and improve decision making about when to biopsy these lesions.
Stephanie Chan
Medical Student
Stephanie is interested in creating models to help physicians integrate diverse data in decision making. She is currently developing a probabilistic model of breast imaging that incorporates the results of biopsy to help radiologists evaluate whether negative biopsy is due to sampling error.
Cesar Rodriguez
Research Programmer
Cesar received his bachelor’s degree in Biological Science from Florida State University and his MD from Howard University College of Medicine. His is currently developing iPAD, an application to use ontologies to annotate radiology images to make the semantic content machine-accessible.
Maggie Bos
Administrative Assistant
Maggie Bos is an Administrative Assistant for the Department of Radiology.
Mia Levy
Graduate Student-Biomedical Informatics
Mia Levy received her PhD in Biomedical Informatics at Stanford. She is currently Assistant Professor in Biomedical Informatics at Vanderbilt University.