Ji-Ping Wang

Ji-Ping Wang is a Professor of Statistics and Data Science and Department Chair at Northwestern University. He also holds an adjunct appointment in Molecular Biosciences. He earned his Ph.D. in Statistics from Pennsylvania State University in 2003.

His research focuses on statistical and computational methods for genomics, including nucleosome positioning, DNA cyclizability prediction, CRISPR-Cas9 efficiency modeling, and RNA-seq normalization. His lab has developed widely used tools such as SPECIES, NuPoP, DegNorm, RiboDiPA, DNAcycP, and BoostMEC.

Recent work emphasizes deep learning applications in DNA structure analysis and genomic data interpretation, with publications in top journals like Nucleic Acids Research, Cell, and Nature. Collaborations span computational biology, epigenetics, and translational medicine.

He oversees the Statistics and Data Science department, advancing academic programs and interdisciplinary research initiatives.