Dr. Jessica L. Petersen is an Associate Professor at the Department of Animal Science, University of Nebraska-Lincoln. She obtained her B.S. in Biology from Nebraska Wesleyan University in 2000, her M.S. in Biology from Western Illinois University in 2003, and her Ph.D. in Genetics from the University of California Davis in 2009. From 2009 to 2013, she was a Post-doctoral Fellow at the University of Minnesota. She joined the University of Nebraska-Lincoln as an Assistant Professor in 2014 and was promoted to Associate Professor in 2020. Dr. Petersen’s research interests include the use of population data, association, and linkage studies to discover genomic variation affecting traits of interest and to describe population diversity and structure. Her current projects include association mapping of loci important for the production and health of livestock and horses using whole-genome SNP data and next-generation sequencing. She is also using whole-genome gene expression data to understand host response to viral infection as well as to supplementation with common feed additives.
Dr. Jessica L. Petersen is an Associate Professor at the Department of Animal Science, University of Nebraska-Lincoln. She obtained her B.S. in Biology from Nebraska Wesleyan University in 2000, her M.S. in Biology from Western Illinois University in 2003, and her Ph.D. in Genetics from the University of California Davis in 2009. From 2009 to 2013, she was a Post-doctoral Fellow at the University of Minnesota. She joined the University of Nebraska-Lincoln as an Assistant Professor in 2014 and was promoted to Associate Professor in 2020. Dr. Petersen’s research interests include the use of population data, association, and linkage studies to discover genomic variation affecting traits of interest and to describe population diversity and structure. Her current projects include association mapping of loci important for the production and health of livestock and horses using whole-genome SNP data and next-generation sequencing. She is also using whole-genome gene expression data to understand host response to viral infection as well as to supplementation with common feed additives.