Kijung Shin
About Kijung Shin
Kijung Shin is an Assistant Professor at KAIST in Daejeon, South Korea, specializing in data mining, graph mining, and scalable machine learning. He completed his PhD in Computer Science at Carnegie Mellon University and has previous experience as a Machine Learning and Relevance Engineer Intern at LinkedIn.
Work at Kaist
Kijung Shin has been serving as an Assistant Professor at KAIST since February 2019. Located in Daejeon, South Korea, his role involves teaching and conducting research in the fields of data mining, graph mining, and scalable machine learning. His position at KAIST allows him to contribute to the academic community while mentoring students and collaborating with fellow researchers.
Education and Expertise
Kijung Shin holds multiple degrees in Computer Science, Mining, and Philosophy. He completed his Doctorate in Philosophy at Carnegie Mellon University from 2015 to 2021, where he focused on advanced topics in computer science. Prior to that, he earned a Bachelor's degree in Economics, Computer Science, and Engineering from Seoul National University, studying from 2008 to 2015. His educational background equips him with a strong foundation in both theoretical and practical aspects of computer science.
Background
Kijung Shin's academic journey began at Sanggye High School, where he developed an interest in technology and science. He later pursued higher education at Seoul National University, followed by Carnegie Mellon University, where he deepened his knowledge in computer science and related fields. His diverse educational experiences have shaped his research interests and professional path.
Internship Experience at LinkedIn
In 2017, Kijung Shin completed a three-month internship at LinkedIn as a Machine Learning and Relevance Engineer Intern. This experience took place in Sunnyvale, California, United States. During his internship, he gained practical insights into machine learning applications and relevance algorithms, which complement his academic research interests.