Lingling Jin

Dr. Lingling Jin is an Associate Professor in the Department of Computer Science at the University of Saskatchewan. Her research focuses on Bioinformatics, Genome Evolution, Comparative Genomics, Natural Computing, and Mathematical Genomics. She holds a Ph.D. in Computer Science with a specialization in Bioinformatics from the University of Saskatchewan (2017), preceded by an M.Sc. (2010) and B.Eng. (2006) in Computer Science from the same university and Beijing University of Technology, respectively.

Dr. Jin’s work integrates computational methods with genomic data analysis, addressing challenges in plant genomics, structural variant detection, and evolutionary biology. Her research explores topics such as polyploid subgenome inference, anti-CRISPR activity modeling, and environmental stress response in organisms like mites and legumes. She also applies machine learning techniques to problems in agriculture, such as wheat kernel defect detection and phenotype prediction from genomic markers.

Recent projects include developing tools like SV-JIM and SVPS for structural variant identification, sequencing the Camelina neglecta genome, and advancing self-supervised learning for video object segmentation and dense-pattern analysis. Her interdisciplinary approach bridges computational science with biological applications, contributing to both foundational and applied research in genomics.

No scientific awards or grants are explicitly mentioned in the provided text. She currently advises no listed students, though her research likely involves graduate students and collaborators in bioinformatics and computational biology.