Benjamin Frey is a PhD candidate in Applied Physics at Stanford focused on ultrasound imaging and medical sensing, bringing 11 years of hands-on experience across computational sensing, fiber-optic sensors, and quantum information science. He combines rigorous simulation and modeling skills—evidenced by publications on fiber Bragg grating simulation and NSF/DOE research internships—with practical prototyping experience from 3D printing and network simulation projects. His work spans interdisciplinary teams at national labs and top universities, translating complex PDE-coupled sensor models into validated computational tools and clinically relevant image analysis for lung ultrasound. Based in Palo Alto, he blends technical depth in optics, acoustics, and machine learning with leadership ambitions in R&D that bridge science and commercialization. Notably, he has presented at SPIE Medical Imaging and contributed to published research early in his career, signaling a strong trajectory toward impactful medical device innovation.
11 years of coding experience
Bachelor of Arts and Science, Majors: Physics (B.S.), Computer Science (B.S.), and Business Administration (B.A.), Summa cum laude, Bachelor of Arts and Science, Majors: Physics (B.S.), Computer Science (B.S.), and Business Administration (B.A.), Summa cum laude at University of St. Thomas
4.0 GPA, 4.0 GPA at Chanhassen High School
Doctor of Philosophy, Applied Physics, Doctor of Philosophy, Applied Physics at Stanford University
Fiber Bragg grating (FBG) simulation tool for Finite Element Method (FEM) models. Features inclusion of temperature dependency and emulation within the program. The user can supply a data file and generate simulated reflection spectrums of an array of FBG sensors in response to stress, strain, and temperature.
Contributions:22 commits, 21 pushes, 1 branch in 2 years 5 months
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