Assistant Professor Of EECS at University of California, Berkeley
Berkeley, California, United States
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Sarah Chasins is an assistant professor of EECS at UC Berkeley with 15 years of experience building programming languages and human-centered tools that make automation accessible to non-traditional programmers like journalists and social scientists. Her research blends program synthesis, HCI, and data science to create systems where automating a task is easier than teaching it to a person, and she has a track record from internships at Microsoft Research to long-term research roles at Berkeley and the University of Washington. She earned her PhD in Computer Science from UC Berkeley after a BA in Honors Computer Science and Behavioral Economics from Swarthmore, and she brings practical teaching experience as a former head TA and course instructor. Known for work on programming-by-demonstration and typestate-oriented runtimes, she focuses on tools that lower the barrier to programming rather than just advancing theory. Based in Berkeley, CA, she combines rigorous academic research with an applied mission to democratize computation across disciplines.
14 years of coding experience
10 years of employment as a software developer
BA, Honors Computer Science, Behavioral Economics, BA, Honors Computer Science, Behavioral Economics at Swarthmore College
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at UC Berkeley
Contributions:27 commits, 1 PR, 23 pushes in 11 months
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Sarah Chasins - Assistant Professor Of EECS at University of California, Berkeley