معرفی
Lila Kari is a Professor and Cheriton Faculty Fellow at the School of Computer Science, part of the University of Waterloo in Ontario, Canada. Her research focuses on Biodiversity informatics, data science, and machine learning applications in comparative genomics and metagenomics, particularly for analyzing genomic signatures through Chaos Game Representation (CGR) and alignment-free methods.
- 2023: Environment and taxonomy shape genomic signatures of extremophiles
- 2020: Machine learning for rapid pathogen classification during pandemics
- 2019: Ultrafast DNA sequence classification with ML-DSP
- 2016: Additive genomic signatures for enhanced taxonomic differentiation
- 2015: Mapping genomic signature spaces for molecular distance analysis
- 2009-2005: Foundational work in DNA language theory and computational biology
Her work has been instrumental in developing composite DNA signatures that combine nuclear and organellar genomic data for improved species differentiation, and assembled DNA signatures that enable analysis from fragmented sequencing data. She contributes to global initiatives like BIOSCAN for biodiversity surveillance and has created tools such as MLDSP-GUI for accessible DNA sequence analysis.
