Are you building a data team? Meet Miryung to discuss: different sub cluster characteristics of data scientists, what skill sets, best practices, and tool usage to look for, as well as debugging /testing/workflow tools for data scientists.
Miryung Kim is an associate professor in the Department of Computer Science at UCLA as well as the cofounder of MK.Collective. Miryung builds automated software tools, such as debuggers, testing tools, refactoring engines, and code analytics, for improving data scientist productivity and efficiency in developing big data analytics. She also conducts empirical studies of professional software engineers and data scientists in the wild and uses the resulting insights to design novel software engineering tools. Previously, she was an assistant professor in the Department of Electrical and Computer Engineering at the University of Texas at Austin and a visiting researcher at the Research in Software Engineering (RiSE) group at Microsoft Research. Miryung’s honors include an NSF CAREER award, a Microsoft Software Engineering Innovation Foundation Award, an IBM Jazz Innovation Award, a Google Faculty Research Award, an Okawa Foundation Research Grant Award, and an ACM SIGSOFT Distinguished Paper Award. She also received the Korean Ministry of Education, Science, and Technology Award, the highest honor given to an undergraduate student in Korea. Miryung holds a BS in computer science from the Korea Advanced Institute of Science and Technology and an MS and PhD in computer science and engineering from the University of Washington.
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