My long-term research interests involve the analyzing high throughput sequencing data and the mathematical/computational modeling of biological systems. My academic training and industrial research experience have provided me with an excellent background in multiple disciplines including mathematics, computer science, biology and genetics. As a graduate student, I focused on the regulation of denitrification pathway in Pseudomonas aeruginosa and the regulation of iron in the context of breast cancer from a systems biology perspective and had further extrapolations into the human immune response to tuberculosis and microbiome changes due to antibiotic usage from a computational biology perspective. As a postdoctoral associate here at The Jackson Laboratory, I have been continuing to build on my previous training by moving into the field of genetics. My research has been about PR Domain Containing 9 (PRDM9), a multiple zinc finger protein that mediates the process of meiotic homologous recombination. I have been building a predictive model for PRDM9 binding sites using Affinity-Seq. My main focus is to incorporate some machine learning tools into linear regression models. I have been also doing initial analysis on PRDM9-dependent genetic interactions between cis-eQTLs and trans-eQTLs in male germ cells of BxD recombinant inbred mice.