Dan Butler has a strong background in research and development, particularly in computer vision and bioinformatics. Starting as an Assistant Research Staff at MIT Lincoln Laboratory in 2009, Butler contributed to R&D efforts leading to a patent. As a Graduate Research Assistant at the University of Washington from 2011 to 2016, research focused on 3D computer vision, information extraction, causal inference, and robotics. Following this, Butler served as a Bioinformatics Analyst at Salk Institute for Biological Studies, managing data for a major initiative on climate change and developing software for scientific data organization. Currently, Butler is a Research Engineer at Meta, working on ML-based motion capture techniques for neuroscience that involve comprehensive software and hardware development. Academic qualifications include a Bachelor of Science in Applied Mathematics - Computer Science from Brown University and a Master's degree in Computer Science & Engineering from the University of Washington.
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