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    Thomas Wood

    AI Scientist at LifeBio

    Thomas Wood is an experienced Applied Mathematician and Data Scientist with a passion for automation. He has a strong background in graph machine learning, computer vision, and open-ended question answering systems. Currently, Thomas is focusing on deep reinforcement learning for robotics and neural program synthesis.

    Thomas Wood holds a Master of Science (M.S.) in Applied Mathematics from the University of Washington, a Bachelor of Science (B.S.) in Physics from Lamar University, and has completed a Nanodegree in Deep Reinforcement Learning with a 4.0 rating from Udacity.

    Throughout his career, Thomas has held key positions in various organizations. He is currently working as an AI Scientist at LifeBio. Previously, he served as an AI Scientist at SynPon, a Machine Learning Engineer at Portland General Electric, a Data Architect at Nike, a Data Engineer at Huawei Technologies, a Machine Learning Scientist at Astound, a Data Analyst at Intel Corporation, a Senior Data Analyst at Microsoft, a Software Engineer at Prep Sportswear, a Research Scientist, and a Research Fellow at the University of Washington.

    Thomas Wood
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    Location

    Portland, Oregon Area