BROADCASTS.com

In part one, we meet computer science Assistant Professor Stephen Ramsey, who uses computational modeling to look deep into the human genome. His goal: predict who among us is more susceptible to heart disease. The information could determine not only who will benefit most from preventive action, but may even lead to new drugs for treating cardiovascular disease. 

We then shift from humans to the world of plants and animals with Ph.D. student Caitlin Condon and Ph.D. candidate Delvan Neville from the Radioecology Research Group in the School of Nuclear Science and Engineering. They are both creating voxel phantom models: Caitlin for pine trees, and Delvan for marine life. By creating these 3-D models, they hope to begin to much more accurately understand radiation dose rates in biota.