Seyoung Kim

Email : 's'ykim (replace the 's' with 'sss') at

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 understanding 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 from the University of California, Irvine. I was a postdoctoral fellow in Machine Learning Department at Carnegie Mellon University. I was an Assistant and Associate Professor in Computational Biology Department, School of Computer Science, Carnegie Mellon University until 2023. I was on parental leave during 2015 spring and 2016-2018 academic years for my two children. I received an NSF Career Award and Sloan Research Fellowship.


Jun Ho Yoon (Ph.D., CBD, CMU, expected in Fall 2023)
Calvin McCarter (Ph.D., MLD, CMU, 2019)
Jing Xiang (Ph.D., MLD, CMU, 2017)

Courses taught at CMU:
02-710 - Computational Genomics (Spring 2023, Spring 2022, Spring 2016)
02-680 - Essential Mathematics and Statistics for Scientists (Fall 2022, Fall 2021, Fall 2020, Fall 2019)
02-620 - Machine Learning for Scientists (Spring 2021, Spring 2020)
02-715 - Advanced Topics in Computational Genomics (Spring 2019, Spring 2013)
02-701 - Journal Club (Fall 2018)
10-601B - Machine Learning (Fall 2015)
02-223 - Personalized Medicine: Understanding Your Own Genome (Fall 2014)
10-601B - Machine Learning (Spring 2014)
02-223 - How to Analyze Your Own Genome (Fall 2013)
02-715 - Advanced Topics in Computational Genomics
02-223 - How to Analyze Your Own Genome (Fall 2012)
02-710 - Computational Genomics (Spring 2012)