Lane Mcintosh

Senior Staff Machine Learning Scientist at Tesla

Palo Alto, California, United States
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Summary

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Senior
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Top School
Lane Mcintosh is a Senior Staff Machine Learning Scientist at Tesla leading teams that train foundation visual networks used by millions of Autopilot customers. With 13 years of experience bridging theoretical neuroscience, mathematics, and computer vision, he translated PhD research on deep models of early vision at Stanford into production-scale autonomous driving systems. He has led object-detection efforts and published research and practical architectures (including work from a Google Brain internship) that balance speed and accuracy in scene understanding. Lane’s background in information theory and statistical mechanics informs a principled approach to robust perception for distributed robotics. Based in Palo Alto, he combines academic rigor—NVIDIA Best Poster and NeurIPS publications—with hands-on delivery of large-scale ML systems.
code13 years of coding experience
job14 years of employment as a software developer
bookM.A. Mathematics, M.A. Mathematics at University of Hawaii at Manoa
bookB.A. Neurobiology Computational Neuroscience, B.A. Neurobiology Computational Neuroscience at University of Chicago
bookDoctor of Philosophy (PhD) Neurosciences and Computer Science, Doctor of Philosophy (PhD) Neurosciences and Computer Science at Stanford University
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Stackoverflow

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Github Skills (10)

pytorch10
machine-learning10
deep-learning10
jax10
tensorflow10
retina10
predict10
python10
data-science10
neural-network9

Programming languages (1)

Python

Github contributions (5)

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baccuslab/shannon

Jun 2015 - Nov 2017

Contributions:16 commits, 14 pushes, 1 branch in 2 years 5 months
baccuslab/deep-retina

Jan 2015 - Apr 2018

Contributions:523 commits, 402 pushes, 5 branches in 3 years 3 months
deep-learninghigh-accuracyconvolutional-neural-networkconvolutionalpredict
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