Wheeler Lab

The Wheeler lab designs algorithms, statistical methods, and machine learning models for problems motivated by biological data. We are particularly focused on the annotation of biological sequences and the accompanying problem of searching for similar sequences within large-scale biological sequence databases, but our work also addresses drug discovery, soil microbiomes, transposable elements, and animal behavior. Projects in our group range from statistical modeling of biological sequence families, to text indexing and bounded search algorithms, to low-level software optimization, to FPGAs, to Deep Neural Networks, to Natural Language Processing, to web services. We have open positions for motivated postdocs and PhD students. Please drop me a line if you’d like to learn more or discuss possibilities. I’m particularly interested in hearing from people who have ideas about problems that they’d like to tackle.