Seyoung Kim
Associate Professor, Computational Biology Department
Address:
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 regressionJ. 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]