Young Investigators

Project Leaders

Ron Korstanje Ron Korstanje Ron Korstanje is project leader of “Using in silico Mapping to Evaluate Clustering of Quantitative Trait Loci” and is also developing a systems genetics program aimed at understanding the role of vitamin D in multiple disease related processes. He was formerly a faculty member of the University of Gronigen in the Netherlands where he performed research into complex traits including kidney disease. Prior to his position at the University of Gronigen, Korstanje was a postdoctoral associate in the Beverly Paigen lab at The Jackson Laboratory.

Karen Svenson Karen Svenson Karen Svenson is the leader of the Center's phenotyping core and received her doctorate during the course of this project. Svenson has been the Scientific Project Manager for the Center for Mouse Models of Heart, Lung, Blood, and Sleep Disorders at The Jackson Laboratory since 2001.

 

 

Postdoctoral Researchers / Associate Research Scientists

David Aylor David Aylor David Aylor (Pardo-Manuel de Villena Group), has projects which involve genetic studies of the emerging Collaborative Cross recombinant inbred lines. Aylor is characterizing the genomic architecture of the panel, including the frequencies and spatial distributions of founder alleles and combinations of alleles. Additionally, he is developing methods for mapping complex traits in the CC. Prior to joining UNC, Aylor received his doctorate in Bioinformatics from North Carolina State University studying methods for the genetic analysis of gene expression.

Rachael Hageman Rachael Hageman Rachael Hageman (Churchill Group), in collaboration with Ron Korstanje, is working to identify possible null mutations and the downstream pathways that lead to high HDL levels in mutant mice. Hageman was recently awarded an NIH NRSA Fellowship to study Bayesian dynamic genome scale modeling of high-density lipoprotein cholesterol transport. Prior to joining The Jackson Laboratory, she received her doctorate in Mathematics from Case Western Reserve University, studying Bayesian methods for large-scale parameter estimation and sensitivity analyses for myocardial metabolism during ischemia.

Nicole Leahy Nicole Leahy Nicole Leahy (Graber Group) is examining the potential significance of genes within gene deserts to hypothesize the functional importance of the gene deserts. Leahy is also searching for genomic features strongly correlated to local recombination rate as part of the Petkov laboratory's effort to understand observed patterns of recombination hot spots. Leahy received her doctorate in Bioinformatics from Iowa State University, studying the evolution of reproductive isolation in simulated populations.
Emil Parvanov Emil Parvanov Emil Parvanov (Petkov Group) is investigating trans-control of hotspot activation and placement during meiotic homologous recombination. Parvanov received his doctorate in Genetics from the Institute of Cell Biology, University of Bern, Switzerland studying the mating-type related bias of gene conversion in Schizosaccharomyces pombe.
Ricardo Verdugo Ricardo Verdugo Ricardo Verdugo (Churchill Group) is performing genome-wide gene expression surveys in 17 tissues and 26 mouse strains. He is also dissecting the genetic architecture and gene interactions underlying the determination of HDL levels. Verdugo received his doctorate in Genetics from University of California, Davis performing the genetic dissection of growth and obesity traits in a mouse congenic strain using transcript profiling and high density mapping.

JAX Mouse Hyuna Yang Hyuna Yang (Churchill Group) is developing and analyzing data generated using the JAX Mouse Diversity Array with Drs. Churchill and Pardo-Manual de Villena. Yang is also performing statistical method development and high throughput data analysis including microarray, expression quantitative trait loci (eQTL), Bayesian haplotype association mapping. Prior to joining the Churchill group, Yang received her doctorate in Statistics from the University of Wisconsin-Madison studying model based clustering of the genomic aberration.