Carnegie Mellon University

 Seyoung Kim

Associate Professor, Computational Biology Department


Gates Hillman Center Room 7721
Computational Biology Department, SCS
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
Work Phone: 412-268-6851


Administrative Assistant: Janet Garrand


Dr. Kim’s research focuses on computational genomics, population genetics, and statistical machine learning. She is interested in developing statistical machine learning tools for analyzing large-scale genomic data and investigating biological systems of various organisms and disease processes using these tools.

 Abhinav Adduri

Ph.D. Student

 Jun Ho Yoon

Ph.D. Student

 Daniel Jeong

Ph.D. Student

Highlighted Publications

Doubly mixed-effects Gaussian process regression
J. Yoon, D. Jeong, S. Kim. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022. (to appear)

EiGLasso for scalable sparse Kronecker-sum inverse covariance estimation
J. Yoon, S. Kim. arXiv:2105.09872, 2021. [preprint] (to appear in Journal of Machine Learning Research.

Learning gene networks underlying clinical phenotypes using SNP perturbation
C. McCarter, J. Howrylak, S. Kim. PLoS Computational Biology, 2020. [pdf

EiGLasso: Scalable Estimation of Cartesian Product of Sparse Inverse Covariance Matrices
J. Yoon, S. Kim. Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), 2020. [pdf

Multi-level Gaussian graphical models conditional on covariates
G. Kim, S. Kim. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 2020. [pdf]

Google Scholar