Rehman Ali is a postdoctoral researcher with 11 years of experience at the intersection of seismic imaging, signal processing, and medical ultrasound, currently advancing through-transmission and reflection ultrasound computed tomography at the University of Rochester. He combines a Stanford PhD in Electrical Engineering with hands-on system-level experience—from high-speed beamforming simulation at Siemens Healthineers to exploratory research at Apple—to translate full-waveform inversion and tomography methods into clinically relevant sound-speed maps. His work blends PDE simulation, model-based optimization, and array imaging to rigorously model ultrasound–tissue interactions and recover spatially resolved tissue properties. Known for applying geophysical imaging concepts to biomedical problems, he brings both theoretical depth and practical system design insight to imaging system development.
11 years of coding experience
8 years of employment as a software developer
High School, High School at Ronald Reagan High School
Bachelor of Science - BS, Biomedical/Medical Engineering, Bachelor of Science - BS, Biomedical/Medical Engineering at Georgia Institute of Technology
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Stanford University
Contributions:1 release, 20 commits, 21 pushes in 10 months
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