Seyoung Kim

Assistant Professor

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

Other affiliation:
     Machine Learning Department
     School of Computer Science
     Carnegie Mellon University

Email : s ykim (you need to replace the 's' with 'sss') at cs.cmu.edu
Office : 7721 Gates-Hillman Complex (GHC)
     Carnegie Mellon University
     5000 Forbes Avenue
     Pittsburgh, PA15213


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.


Publications


Students:
Jing Xiang (MLD)
Xiaolong Shen (Comp Bio)
Calvin McCarter (MLD)

I'm looking for students with a strong quantitative skill with an interest in machine learning and system biology. If you are interested in joining my group, please send me an email with your CV and a brief description of your research interest. Postdoc positions are available through my lab directly or through the Lane Fellow Program.

Past Students:
Lingxue Zhang (M.S. Comp Bio, 2013)


Teaching

Spring 2014: 10-601 - Machine Learning
Fall 2013:
02-223 - How to Analyze Your Own Genome
Spring 2013: 02-715 - Advanced Topics in Computational Genomics
Fall 2012: 02-223 - How to Analyze Your Own Genome
Spring 2012: 02-710 - Computational Genomics
Fall 2011: 02-715 - Advanced Topics in Computational Genomics