Travis Wheeler

Dr. Wheeler has over 25 years of experience in research in designing algorithms, statistical models, and software for problems motivated by biological data. Projects in his research group range from statistical modeling of biological sequence families, to text indexing and bounded search algorithms, to low-level software optimization, to Deep Neural Networks and Natural Language Processing and related Machine Learning methods, to development of databases and accompanying web services. These efforts are aimed at improving insight into genomic and proteomic data, computational drug discovery methods, analysis of mass spectrometry data, and automated animal tracking and behavior classification.