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Jingu Kim

Helping computers learn from data

Jingu Kim is a skilled researcher and engineer specializing in data-driven algorithms and machine learning. With a Ph.D. in computer science from Georgia Tech and a B.S. from Seoul National University, Jingu's expertise lies in designing, analyzing, and implementing machine learning algorithms to extract valuable insights from data and develop personalized data products. Jingu's passion lies in uncovering statistical patterns using algorithms grounded in mathematical principles, rigorously tested through experimentation, and realized through software engineering.

Having published over 15 academic papers, Jingu Kim has a strong academic background with a focus on machine learning, data mining, and numerical optimization. Jingu has held various roles at prestigious organizations such as Netflix, Nokia, Microsoft Research, and the Korea Institute of Science and Technology, showcasing a wealth of experience in both industry and academia. Prior roles include Senior Research Engineer at Netflix, Senior Researcher at Nokia, Postdoctoral Fellow at Georgia Tech, and Research Scientist at the Korea Institute of Science and Technology.

Jingu Kim's professional journey includes positions as a Research Intern at Microsoft Research, a Ph.D. Student, and Research Assistant at Georgia Tech, as well as Software Engineer roles at O1, Inc. and Digitalwave, Inc. Jingu's research interests primarily revolve around developing innovative algorithms that can efficiently learn from data, unveiling hidden patterns that drive insights and decision-making. For more information on Jingu Kim's research and publications, visit their homepage.

Jingu Kim
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Location

San Jose, California, United States