Tetsuo Shibuya

This paper introduces two privacy-preserving methods for genomic data analysis using compressive mechanisms and Haar wavelet transforms, achieving differential privacy with high utility.

The paper introduces efficient differentially private methods for a transmission disequilibrium test in genome-wide association studies, showing significant speed improvements over existing methods.

This paper introduces a base-calling method for nanopore sequencing by framing it as a one-dimensional segmentation task, achieving competitive accuracy compared to existing methods.