Lauren Grosberg
Research Scientist at Meta
Mountain View, California, United States
Summary
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Senior🎓
Top SchoolLauren Grosberg is a research scientist and technical lead in applied machine learning with 11 years of experience building sensor-driven systems and neural interfaces. Based in the San Francisco Bay Area, she brings deep interdisciplinary expertise spanning biomedical optics, electrophysiology, radar and imaging systems, and data-driven algorithms developed at institutions including Meta, SRI, Stanford, Columbia and Yale. She has led projects that secured over $1M in funding to improve prosthetic touch encoding, designed complex instrument architectures (from OCT to laser-scanning microscopes), and developed automated acquisition and analysis pipelines for 100+ GB electrophysiology datasets. At Meta she applies this blend of hardware fluency and statistical machine learning to production-scale research problems, translating lab prototypes into robust systems. Notably, her background combines hands-on optics and electronics design (microlens and lock-in detection work) with advanced machine learning techniques like PCA and EM clustering to extract signal from very noisy biological data.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Biomedical/Medical Engineering, Doctor of Philosophy (PhD), Biomedical/Medical Engineering at Columbia University in the City of New YorkBS, Physics, cum laude with distinction in Physics, BS, Physics, cum laude with distinction in Physics at Yale UniversityMS, Biomedical Engineering, MS, Biomedical Engineering at Columbia EngineeringPostdoctoral, Postdoctoral at Stanford UniversityGithub contributions (1)
Field-Lab/matlab
Oct 2014 - May 2016
Contributions:212 commits in 1 year 7 months
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