Emily Johnston is a software engineer at Google with 11 years of experience focused on compilers, static analysis, and improving developer tool usability. She currently builds ML-driven tooling that automatically fixes compiler errors, blending program analysis with machine learning to streamline developer workflows. Based in the San Francisco Bay Area, she brings production-grade engineering from a long tenure at Google back to insights gained as a student advisor, TA, and undergraduate researcher at Carleton College. Her research background includes multi-agent communication and perceptual science, which informs a systems-level approach to tooling and human-in-the-loop design. Colleagues describe her work as pragmatic and research-informed, delivering features that measurably reduce friction for developers.
11 years of coding experience
Bachelor of Arts (BA), Computer Science, Bachelor of Arts (BA), Computer Science at Carleton College
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