Su Yeon Kim
About Su Yeon Kim
Su Yeon Kim is a Research Assistant Professor at KAIST in Daejeon, Korea, with expertise in large-scale DNA and RNA sequencing analysis. She has a strong background in statistical modeling and machine learning applications in the biotechnology sector.
Work at KAIST
Su Yeon Kim has been serving as a Research Assistant Professor at KAIST since 2019. Located in Daejeon, Korea, she focuses on large-scale DNA and RNA sequencing analysis. Her role involves applying her expertise in statistical modeling and machine learning techniques to advance research in biotechnology and clinical diagnostics.
Education and Expertise
Su Yeon Kim holds a Bachelor of Science (BS) in Statistics from Seoul National University, which she completed from 1997 to 2001. She further pursued her education at the University of Chicago, where she obtained a PhD in Statistics from 2002 to 2008. Her academic background supports her expertise in statistical modeling and machine learning applications in the biotechnology sector.
Previous Experience at Veracyte, Inc.
Before joining KAIST, Su Yeon Kim worked at Veracyte, Inc. as Associate Director of Bioinformatics from 2013 to 2019. In this role, she contributed to bioinformatics projects, leveraging her skills in statistical analysis and large-scale data interpretation to support clinical applications.
Postdoctoral Experience at UC Berkeley
Su Yeon Kim has extensive postdoctoral experience at UC Berkeley. She served as a Postdoctoral Scholar from 2008 to 2010 and again from 2010 to 2013. During her time at UC Berkeley, she engaged in research that enhanced her expertise in statistical modeling and its applications in the biotechnology field.
Specialization in Machine Learning
Su Yeon Kim specializes in applying machine learning techniques to improve clinical diagnostic practices. Her work integrates advanced statistical methods with computational techniques to enhance the accuracy and efficiency of diagnostic processes in healthcare.