NSF-ROA funded!
We have some exciting news: our collaborative NSF-ROA proposal “Leveraging genomes, transcriptomes, and proteomes alongside student training to improve genome annotation” has been accepted for funding!
This proposal represents a collaborative effort with the McKenna lab at the University of Memphis to improve annotation of difficult-to-find genes (e.g., olfactory receptor) in longhorned beetles. Rich will be a visiting scientist at UofM in Summer 2022, and this proposal will fund undergraduate researchers to work on the problem of “fantastic genes and where to find them”.
Exciting things ahead!
Rich Adams
Data Scientist | Assistant Professor of Agricultural Statistics
I am a broadly trained statistical geneticist and data scientist with research in statistical population genetics, mathematical & algorithmic phylogenomics, computational/functional genomics, and artificial intelligence-driven applications in genetics.