Summary
Lena Bradley is a Boston-based staff data scientist at Zoox with 9 years of experience applying physics, statistics, and machine learning to autonomous vehicle perception and computer vision. She earned a PhD in Applied and Engineering Physics from Cornell and a BS with honors in Physics from Penn State, with minors in Bioengineering and Mathematics, grounding her in rigorous experimental methods and quantitative analysis. Her work centers on evaluation metrics for perception and computer vision, translating complex models into reliable, auditable performance benchmarks. She has led data science teams across MORSE Corp, Altana AI, and Zoox, guiding research-to-production initiatives and bridging analytical rigor with practical deployment. Based in the Boston area, she combines hands-on coding with strategic leadership to drive scalable, data-driven solutions in high-stakes environments.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Honors in Physics, Minors in Bioengineering and Mathematics, Bachelor of Science (BS), Honors in Physics, Minors in Bioengineering and Mathematics at Penn State University
Doctor of Philosophy (PhD), Applied and Engineering Physics, Minor in Biomedical Engineering, Doctor of Philosophy (PhD), Applied and Engineering Physics, Minor in Biomedical Engineering at Cornell University