Frank Ong is a machine learning and computational imaging engineer with 11 years of experience blending deep research and product development from Stanford and UC Berkeley to Silicon Valley. He has moved between academia and industry—from PhD research and postdoc work to roles at Amazon and Roblox—shaping ML systems in production and co-founding Twizl to bring those capabilities to market. Frank contributes to open-source scientific tooling, notably extending numerical linear algebra and low-rank algorithms in the widely used BART MRI toolbox, reflecting strong applied math and systems skills. Based in the San Francisco Bay Area, he combines rigorous theoretical training with hands-on backend engineering to turn advanced imaging algorithms into scalable, practical software.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Electrical Engineering and Computer Sciences, Bachelor of Science (BS), Electrical Engineering and Computer Sciences at University of California, Berkeley
BART: Toolbox for Computational Magnetic Resonance Imaging
Role in this project:
Back-end Developer
Contributions:1 release, 46 commits, 17 PRs in 1 year 11 months
Contributions summary:Frank contributed to the `BART` toolbox, specifically by adding and modifying functions related to LAPACK, a numerical linear algebra library. They added a function for batch singular value thresholding and modified existing functions for singular value decomposition and matrix multiplication. These changes involved code modifications within the `src/num` directory and `src/lowrank` directory and indicate an understanding of numerical methods and linear algebra.
Contributions:212 commits, 9 PRs, 111 pushes in 3 years 8 months
mridata
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