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Dr. Rusu is an Assistant Professor in the Department of Radiology at Stanford University, with a courtesy appointment in the Department of Biomedical Data Science and Urology. Leading the Personalized Integrative Medicine Laboratory (PIMed), Dr. Rusu's research focuses on developing analytic methods for biomedical data integration, with a particular interest in radiology-pathology fusion and multi-modal fusion techniques. These methodologies enable improved radiology image labeling and guide procedures using MRI-ultrasound fusion, allowing for advanced machine learning applications in cancer detection and subtype identification. Prior to joining Stanford, Dr. Rusu completed a PhD in Health Informatics at the University of Texas Health Science Center, focusing on biomolecular data integration. Her postdoctoral work involved developing tools for interpreting multi-modal medical imaging data. She has previously worked as a Lead Engineer and Medical Image Analysis Scientist at GE Global Research, contributing to advancements in analytic methods to characterize biological samples using microscopy and MRI.
Stanford University • Stanford, California
Leading research in biomedical data integration and machine learning applications in medical imaging.
GE Global Research • Niskayuna, NY
Developed analytic methods for characterizing biological samples using various imaging techniques.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.