Interdisciplinary training

Several initiatives will link this research with education. It will help provide graduate education in computational science. The interdisciplinary nature of this project, the collaborative subprojects in which all students are or will be involved, and the necessary understanding of algorithmic, high-performance computing, and software engineering issues will give them a well-rounded education to enable them to successfully collaborate with scientists and engineers. For example, as documented in the letters of support for this proposal, I am co-advising Mrs. Yao Wang with Prof. Martin Tenniswood of the department of Biology at Notre Dame. She is a medical doctor with an M.S. in Biology and will be working towards a Ph.D. in Computer Science. Also, with faculty in Chemistry, Biology, Chemical Engineering, and Computer Science and Engineering, we have started a molecular modeling group, to enable undergraduates, graduates, and postdocs to present their results and engage in scientific exchange.