Dan Andrews

Dan Andrews is an Associate Professor at The Australian National University, affiliated with the School of Computing. His research focuses on human pathogenic genetic variation, computational biology, bioinformatics, genomics, molecular evolution, and deep learning for cellular phenotyping. He has worked in both research and industry across Australia, Japan, and the United Kingdom. His projects aim to accelerate understanding of human pathogenic genetic variation through computational biology and bioinformatics, including the use of deep learning to predict the medical consequences of mutations. His work integrates high-throughput phenotyping and structural bioinformatics to identify and prioritize pathogenic protein mutations.

Dan Andrews is a researcher at the Australian National University, specializing in genomics and computational biology. His work focuses on understanding the human genome through large-scale sequencing projects and analyzing genetic variations such as copy number variations (CNVs) and DNA methylation. He has contributed to significant genome sequencing efforts, including the human X chromosome and chromosome 6, and has explored the functional impact of genetic differences in diseases like lupus. His research also involves bioinformatics tools and databases, such as Ensembl, to annotate and analyze genomic data. Andrews' studies aim to uncover the molecular mechanisms underlying genetic disorders and evolutionary processes.