Zoë Tosi
Research Software & Machine Learning Lead at Subsense Inc.
South San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolZoë Tosi is a Research Software and Machine Learning lead with 11 years of experience at the intersection of neuroscience, ML, and high-performance scientific software engineering. Based in South San Francisco, she has built TB-scale EEG pipelines and GPU‑optimized neural network stacks that supported an FDA filing for seizure detection and developed novel multi-objective hyperparameter tools and synthetic EEG patents. Her background spans academic neural modeling and HPC neural architecture search to pragmatic product engineering—delivering large-scale preprocessing, caching, and database systems for clinical-grade wearables. Zoë combines deep domain knowledge of electrophysiology and biologically inspired computation with hands-on optimization skills (C++, Python, PyTorch, MPI) to turn experimental ideas into production-ready systems. An often-overlooked strength is her track record of accelerating legacy research code by orders of magnitude, enabling analyses and simulations previously impractical.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Indiana University BloomingtonAssociate of Arts (AA), Transfer Studies, Associate of Arts (AA), Transfer Studies at Modesto Junior CollegeModesto High SchoolBachelor of Science (B.S.), Cognitive Science, Bachelor of Science (B.S.), Cognitive Science at University of California, Merced
Github Skills (4)
simulations10
code-documentation9
toolbox1
dynamics1
Programming languages (2)
Github contributions (5)
ztosi/MANA-The-Metaplastic-Artificial-Neural-Architecture
Oct 2017 - Apr 2021
Contributions:65 commits, 87 pushes, 4 branches in 3 years 6 months
ztosi/AnalysisTools
Jun 2018 - Dec 2020
Contributions:19 pushes, 1 branch in 2 years 6 months
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