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    Kyle Heath

    Computer Vision Research Scientist at Vium

    Kyle Heath is a highly accomplished professional with a strong background in electrical engineering and computer engineering.

    He pursued his academic journey at Stanford University, culminating in a Doctor of Philosophy (PhD) in Electrical Engineering along with a Master of Science (MS) in the same field.

    Kyle also holds a Bachelor of Science in Computer Engineering from the prestigious Rose-Hulman Institute of Technology.

    With a keen interest in research, Kyle Heath has focused on wireless camera sensor networks and data mining within large-scale image collections.

    His professional experience includes roles such as Senior Machine Learning Scientist at Recursion Pharmaceuticals, where he brings his expertise to the realm of pharmaceuticals.

    He has previously held positions like Computer Vision Research Scientist at Vium and Computer Vision Researcher at Bay Sensors, showcasing his in-depth knowledge of computer vision technologies.

    Kyle's internship stints include impactful roles at renowned companies like Google, Nokia, Bosch Research, Sick, and Logikos, Inc., where he gained valuable experience in image search, mobile vision research, large-scale 3D model acquisition, optical character recognition, and software engineering.

    His diverse background and wealth of experience make Kyle Heath a valuable asset in the fields of electrical engineering, computer engineering, machine learning, and computer vision.

    Kyle Heath
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    Location

    San Francisco Bay Area
    Location