The focus of my work is computational genetics. My academic training is in computer science, with an emphasis in statistics and applied mathematics. Professionally, most of my career has been spent in a research setting, with over 20 years experience in statistical genetics. In my role as Leader of the Computing and Data Management Core of the Mexican American Program Project, I face the challenge of providing storage and retrieval for an ever growing volume of genetic data. During my tenure, our computing cluster has tripled in size and our file storage capacity has increased by 15-fold. Key components of our data management strategy include the use of relational data base technology, browser-based retrieval and display of research results, efficient utilization of high-performance storage devices, and streamlined data backup and archival procedures. I supervise the department's systems administration staff, and I interface with the chair and the faculty on computing issues, including the preparation of the department's computing budget. In the realm of software, I oversee the development and maintenance of the PEDSYS genetic data management system. As a member of the SOLAR development team, I design and implement genetic analysis software, including procedures for identity-by-descent calculations, allele frequency estimation, assessment of linkage disequilibrium, association analysis, correction for multiple testing, simulation, and power calculation. I also provide technical support and classroom training for SOLAR users. In addition, I have been involved in the preparation of simulated data for several Genetic Analysis Workshops.