Kimberly Sellers, Department of Mathematics and Statistics, Georgetown University Title: Statistical Analysis of Mass Spectrometry Data Abstract: Proteomic studies are an area of great interest and application in that scientists are working to use their results to better understand associations between protein makeup and diseases, and to create personalized medicines. Mass spectrometry, in particular, is a popular technique that produces the protein data for analysis. This talk will educate attendees on mass spectrometry, the associated data that are produced, and data analytic software and tools that are available to analyze the data in order to gain a better understanding of protein performance. For full participation in this course, attendees will need to bring their laptop and download the statistical freeware tool, R (available at http://cran.r-project.org/ ). Prior experience with R is not required for this course.