Allison Walker
Assistant Professor, Department of Chemistry
The Walker lab uses machine learning and statistics to solve difficult problems in chemical biology. Since machine learning works best on large datasets, our focus is on problems with existing large datasets or easily generated datasets, allowing us to take advantage of the wealth of genomic and metagenomic sequences. Additionally, we explore data generated from molecular dynamics simulations along with next-generation sequencing of directed evolution experiments.