Jing Li

Jing Li is an Arthur L. Parker Professor in the Department of Computer and Data Sciences at Case School of Engineering and holds a dual appointment as Professor in the Department of Population and Quantitative Health Sciences at the School of Medicine, Case Western Reserve University. She is also affiliated with the Cleveland Institute for Computational Biology.

Her research focuses on computational approaches for genomics, bioinformatics, and systems biology, with a strong emphasis on big data analytics. Key interests include computational biology, statistical genomics, machine learning applications in healthcare, and drug repositioning strategies.

Her work spans interdisciplinary collaborations, integrating machine learning techniques with biomedical data to address challenges in precision medicine, disease modeling, and drug discovery. Notable projects include developing algorithms for haplotype inference, drug-target interaction prediction, and analysis of genomic variations in health and disease.

Publications span topics like SARS-CoV-2 mutation dynamics, wearable technology for postoperative monitoring, and deep learning for medical imaging. Her methodologies often combine computational modeling with high-throughput genomic data to uncover biological mechanisms and clinical insights.