Daniel O'connor
Staff Scientist at ZAP Surgical Systems, Inc.
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel O'connor is an applied mathematician and staff scientist with nine years of experience building optimization and machine learning algorithms for medical physics, computer vision, and defense applications. He designed beam orientation and fluence-map optimization engines that became core components of startups Celestial Oncology and RefleXion Medical, and his work at Arete Associates helped win a $3M contract to deliver airborne-derived river current mapping. Comfortable translating theory into production, he has a track record of shipping patented, peer-reviewed solutions and teaching graduate courses in ML and numerical analysis. Based in San Francisco, he blends deep convex-optimization expertise from a UCLA Ph.D. with hands-on C++ and imaging systems development, often tackling nonstandard geometry and large-scale inverse problems.
9 years of coding experience
16 years of employment as a software developer
Bachelor of Science (with honors), Mathematics, Bachelor of Science (with honors), Mathematics at The University of Texas at AustinUniversity of California, Los Angeles
Stackoverflow
982reputation
51kreached
11answers
11questions
parallel-processing
top-5%
Github Skills (13)
parallel-processing9
sparse-matrix6
numba6
anaconda6
scipy6
matlab6
matrix6
sobel6
python6
numpy6
robotics5
motion-planning4
operator1
Programming languages (1)
Github contributions (5)
danielvoconnor/PrimalDualDecomp
Nov 2019 - Jun 2024
Contributions:4 pushes, 1 branch in 4 years 8 months
danielvoconnor/danielvoconnor.github.io
Aug 2023 - Feb 2026
Contributions:41 pushes, 1 branch in 2 years 6 months
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