NSF Research Experience for Undergraduates
Are you interested in data-driven next-generation bioinformatics and data science analysis? Interested in developing and coding the state-of-the-art computational approaches and algorithms for big data analysis on genomic data? Interested in the discovery that comes from an interdisciplinary approach to science? Our vision for the NSF Research Experience for Undergraduates (REU) site is to cultivate the talents of an intellectually and culturally diverse group of 10 undergraduate students each year drawn from fields related to the life science, bioinformatics, and computer science by engaging them in ongoing biological research projects that employ next-generation DNA sequencing technologies and high performance computing. This is the Omics Experience.
Data Science Research Lab
The Anderson Data Science Research Lab develops algorithms and software to tackle some of the most challenging and interesting big data problems in the life sciences. Our research interests include pattern analysis in high-dimensionality data sets, evolutionary computation and optimization, machine learning, data science, computational genomics, cloud computing, computational metabolomics, and eScience. We currently have multidisciplinary projects underway in metabolomics, human cognition, toxicology, marine biology, and medical genomics.
For more information, please contact Paul Anderson.