Dr. Keith Baggerly is an Associate Professor in the Bioinformatics Section of the Department of Biostatistics and Applied Mathematics at the MD Anderson Cancer Center, where he has worked since 2000. Prior to joining the group, he served as a faculty member in the Rice University Statistics Department and as a member of the Statistics Group at the Los Alamos National Laboratory. His current research involves modeling structure in high-throughput biological data, including the Serial Analysis of Gene Expression (SAGE),cDNA and oligonucleotide microarrays, and proteomic mass spectra.

Dr. Baggerly was a member of the winning teams for the 2001 and 2003 Critical Analysis of Microarray Data (CAMDA) competitions (the section also won in 2002), and the leader of the winning team for the first Proteomics Data Mining Conference (2002). He won the 2002 First Place contributed paper award of the Biopharmaceutical Section of the ASA for work on modeling microarray data. In 2005, he was named an MD Anderson Faculty Scholar. He is best known for his work on proteomic data, which has focused on the need for careful experimental design and preprocessing.