David T. Blaauw

This paper demonstrates a method for implanting wireless neural dust motes with subcellular-diameter electrodes into rat cortex with high success rates and minimal invasiveness.

nPoRe improves INDEL recall in nanopore sequencing by extending gap penalties in alignment, achieving 73.04% recall with no loss of precision.

RawMap is a fast and accurate classifier for filtering non-target reads in real-time nanopore sequencing, improving efficiency and reducing costs.

This paper introduces VeloVAE, a Bayesian model for RNA velocity inference that improves accuracy and captures complex dynamics in multi-lineage single-cell data.

This paper introduces Threshold Sequencing and LAMPrey to enable ultra-rapid somatic variant detection in under 30 minutes using real-time sequencing and targeted amplification.

SquiggleNet classifies nanopore signals in real time with high accuracy, outperforming traditional methods in speed and memory usage.

The paper introduces an optimized data structure for read alignment, improving performance while maintaining accuracy.