EECS Department

Professor Li's interest is in the area of computational biology. More specifically, his research interests focus on how to design efficient computational and statistical algorithms for the characterization of DNA variations in human populations and for the identification of the correlations of DNA variations and phenotypic differences such as diseases.

Jing Li received his B.S. in Statistics from Peking University in 1995, and his Ph.D. in Computer Science from University of California at Riverside in 2004. He joined the Department of Electrical Engineering and Computer Science at Case Western Reserve University as an Assistant Professor in the same year.

1. Li, J. and T. Jiang. An Exact Solution for Finding Minimum Recombinant Haplotype Configurations on Pedigrees with Missing Data by Integer Linear Programming. In Proc. 8th Annual Conference on Research in Computational Molecular Biology (RECOMB’04), 101-110, 2004.
2. Li, J. and T. Jiang. Efficient Rule-Based Haplotyping Algorithm for Pedigree Data. In Proc. RECOMB’03, 197-206, 2003.
3. Li, J. and T. Jiang. Haplotype Association Mapping by Density-Based Clustering in Case-Control Studies. In Proc. 2nd RECOMB Satellite Workshop on Computational Methods for SNPs and Haplotypes.
4. Doi, K., J. Li and T. Jiang. Minimum Recombinant Haplotype Configuration on Tree Pedigrees. In Proc. 3rd Annual Workshop on Algorithms in Bioinformatics (WABI’03), 339-353