Sequence Mapping * Sequence Compression * Structural Variation Detection * Cancer Genomics
Dr. Hach is motivated to build bridges between computational algorithm design and biological problems pertaining to precision medicine with a special focus on cancer. His current research involves developing fast and efficient combinatorial algorithms to analyze genomics data generated by Next-Generation Sequencing (NGS) technologies with special focus on structural variations and segmental duplications. He is also interested in designing data structures and algorithms for compressing large quantities of sequencing data to address the challenges related to storage of NGS data.