Farah Deeba, PhD

Farah Deeba, PhD

Assistant Professor
Electrical and Computer Engineering

My research centers on developing and validating non-invasive, quantitative imaging biomarkers that reflect underlying tissue pathology. I combine signal processing, optimization, and deep learning with multimodal approaches—including ultrasound, MRI, and histopathology—to enable early prediction and monitoring of disease. My mission is to advance scalable, point-of-care diagnostic tools through multicenter clinical studies, with a focus on maternal-fetal health.