Charles Foo is a Software Engineer specializing in Machine Learning at Alphabet Inc. and Verily since February 2019. At Alphabet Inc., Charles applied Large Language Model research to categorize unstructured texts for 5 million clinical trial studies, guiding company strategy. Additionally, Charles developed streaming video ML infrastructure for surgical robotics on Google Cloud Kubernetes Engine. Previously, as a Research Intern at the University of Wisconsin-Madison, Charles contributed to the development of Natural Bond Orbital 7 software, a tool for chemical insights, and created a GUI application for 3D visualization of chemical structures. Charles holds a Bachelor of Science (B.S.) degree in Computer Science and Mathematics from the University of Wisconsin-Madison.
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