My research interests revolve around identifying and understanding genomic and transcriptomic signatures that govern phenotypic adaptations. We use computational and molecular genetics methods to assemble and annotate genomes and transcriptomes, compare and contrast genomes, understand functional genomic units, and study evolutionary mechanisms driving the genomic adaptations. Therefore, in our lab, we develop computational pipelines to make in silico predictions that are complemented by wet lab experimental designs.

If you are interested in joining our lab feel free to email me with your research interests and experience. For prospective postdocs, skills in at least basic programming and interest in wet lab research will be required.

For graduate students, experience in programming will be desirable, but a curiosity in biology of evolutionary adaptations and enthusiasm to learn new computational methods will be essential.