Summary
Christopher Khan is a PhD candidate in Biomedical Engineering at Vanderbilt University specializing in real-time ultrasound beamforming and machine learning to enhance clinical imaging. With nine years of research and consulting experience, he has accelerated GPU implementations and reduced ultrasound processing times from minutes to seconds for startups and academic projects. His work spans computational modeling of tissue motion and perfusion, Verasonics sequence programming, and developing MATLAB/CUDA interfaces to bridge research and production. Chris combines hands-on algorithm development with experimental validation—running ex vivo liver perfusion studies and contributing to flexible-array ultrasound designs—positioning him to translate advanced imaging methods into clinical tools. Notably, he pairs a strong academic record with practical engineering consulting that shapes product timelines, grant strategy, and IP for early-stage companies.
9 years of coding experience
4 years of employment as a software developer
Scholars Diploma, Class Valedictorian, GPA: 4.00/4.00, Scholars Diploma, Class Valedictorian, GPA: 4.00/4.00 at Fred J. Page High School
Biochemistry and Molecular Biology Major, GPA: 4.00/4.00, Biochemistry and Molecular Biology Major, GPA: 4.00/4.00 at Belmont University
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at Vanderbilt University
English, Persian, Dari, Spanish