Seyoung Kim

Assistant Professor

Lane Center for Computational Biology
School of Computer Science
Carnegie Mellon University

News:
I received an Alfred P. Sloan Research Fellowship (2013) and an NSF CAREER Award (2012).
At ISMB 2011, Dr. Eric Xing and I presented a tutorial titled "On Modern Statistical Methods for Genetic Association Study: Structured Genome-Transcriptome-Phenome Association Analysis". [slides (32.9Mb)]

Research interests: My main research interests lie in developing statistical machine learning techniques to address significant methodological problems in computational genomics. Recent advances in genome-wide profiling technology have allowed researchers to probe various aspects of biological systems on a system-wide scale, such as the transcriptome, proteome, metabolome, and epigenome. In addition, it is expected that in the future, genome sequencing will become a routine process that can be applied to a large number of individuals. Given the high-dimensional nature of genome-scale data in which many entities interact with each other in a complex manner, I'm interested in developing statistical machine learning techniques for discovering the genetic basis of diseases and disease-related biological processes with the ultimate goal of personalized medicine.

Bio: I received my B.S. in computer engineering from Seoul National University, Korea, and Ph.D. in computer science from the University of California, Irvine. I was a postdoctoral fellow in Machine Learning Department at Carnegie Mellon University.

Students:
Lingxue Zhang
Jing Xiang
Xiaolong Shen

Teaching

Publications