Nicholas W. Bard

The paper introduces MAP, a metabarcoding pipeline that handles long-read data and provides accurate biodiversity estimates, outperforming existing platforms for COI metabarcoding.

The paper introduces BIP, a pipeline for DNA barcode inference from sequencing data, which outperforms existing tools by accurately distinguishing target and non-target sequences.

The paper uses machine learning to classify flowering phenology from citizen science images, revealing peak flower production and flowering season length for many South African plant species.