Lane McIntosh

Lane McIntosh is a highly accomplished scientist with an impressive background in neuroscience, mathematics, and artificial intelligence. Currently serving as a Senior Machine Learning Scientist at Tesla, Lane is tasked with developing an artificial intelligence visual system for autonomous driving. Lane's previous experience includes a PhD candidacy in Neuroscience and Computer Science at Stanford University where they studied the computations of biological visual systems using deep learning neural networks. Additionally, Lane holds a master's degree in Mathematics from the University of Hawaii at Manoa, and a Bachelor's degree in Neurobiology and Computational Neuroscience from the University of Chicago.

Throughout their career, Lane has worked at several prestigious organizations and research institutions such as Google, the National Science Foundation, and the National Institutes of Health. As a highly skilled machine learning scientist, Lane brings a unique perspective to the development of autonomous vehicles, having studied and worked extensively in both the biological and artificial intelligence realms.

Overall, Lane's expertise lies at the intersection of AI, neuroscience, and robotics, with a specific focus on building better-than-human visual systems for distributed robotics.