Bio
Shaimaa is a graduate of the Ph.D. program, the Department of Electrical Engineering at Stanford and currently a postdoctoral researcher at the Gevaert lab at the Stanford Center for Biomedical Informatics Research (BMIR). Shaimaa is interested in developing multi-modal deep learning models using biomedical data with focus on genomic, radiology and histopathology data and applying these models to solve problems in cancer and other diseases. Prior to Stanford, she received her B.Sc. (Summa Cum Laude) from the American University in Cairo, where she studied Electronics Engineering and Computer Science. She obtained her MS degree in Electrical Engineering from Rensselaer Polytechnic Institute, working in the Cognitive and Immersive Systems lab, and advised by Professor Richard Radke.
