Emily Hartop

This study evaluates how lysis methods, spike-ins, and sample processing affect the accuracy of insect metabarcoding for species occurrence and abundance.

This paper uses deep learning to automate specimen triage by identifying sex, orientation, and anatomical regions from robotic imaging of Phoridae specimens.

This study uses a novel multi-target amplicon sequencing approach to analyze microbiota in wild scuttle flies, revealing significant variation in bacterial abundance and composition across host species and genotypes.

The paper uses DNA barcoding to study scuttle flies in Sweden, revealing high diversity and showing that climate factors strongly influence their distribution.