Emily Anaya

Electrical Engineering
brain imaging, deep learning, attenuation correction

Emily is a PhD candidate in electrical engineering at Stanford University and is a member of Professor Craig Levin's Molecular Imaging Instrumentation Laboratory (MIIL). She is interested in applying deep learning techniques for attenuation correction of simultaneous positron emission tomography and magnetic resonance imaging (PET/MRI) to visualize and quantify the molecular pathways of neurological disorders, such as Alzheimer's disease. Prior to attending Stanford University, she received her BS in electrical engineering from the University of Wisconsin - Madison. Outside of lab, Emily enjoys road biking, climbing, and ceramics.