Titus leads the Laboratory of Data Intensive Biology at UC Davis. While Titus has many diverse research interests, a goal of his lab is to combine computation with experiment in order to improve our understanding of gene function. The development and extension of data analysis tools and toolkits is also an increasingly large interest of his lab. His group works across developmental biology, molecular biology, bioinformatics, metagenomics and next-generation sequencing. Titus has been an advocate of open-source software and open science for decades, and he is committed to using novel computer science tools to explore large -omic data sets.
The impact of this work is to accelerate scientific investigation, by helping scientists move more quickly from data collection to data analysis, and from analyzed data to new or more specific biological hypotheses. As data sets grow in size and variety, the challenge of analyzing (vs collecting) data is starting to dominate the scientific process, and solutions for this problem are sorely needed.
Titus holds a PhD in Developmental Biology from the California Institute of Technology. He is a member of the Python Software Foundation, and on the Software Carpentry Advisory Board.
Google Scholar Profile
Lab Group on GitHub
University of California, Davis Department of Population Health and Reproduction