Dienye L. Tolofari

This paper introduces a field-deployable workflow for quantitative metagenomics using Nanopore sequencing and barcoded spike-in calibration, achieving species-level identification and absolute quantitation comparable to digital PCR.

This paper develops an image processing pipeline for real-time algal bloom monitoring using flow-imaging microscopy and machine learning, improving accuracy in identifying and removing artifacts and novel particles.