Her research focuses on developing and applying statistical machine learning methods for understanding how the information encoded in genomes shapes the biological system in terms of gene regulations, phenotypes, diseases, and developments. Dr. Kim received her B.S. in computer engineering from Seoul National University, Korea, and Ph.D. in computer science from the University of California, Irvine. She was a postdoctoral fellow in Machine Learning Department at Carnegie Mellon University. She is a recipient of the NSF Career Award and the Alfred P. Sloan Fellowship.