Rachel Levanger

Rachel Levanger has a diverse work experience with a focus on data science and computational topology. Rachel currently holds the position of VP, Director of Data Science at Fidelity National Financial, where they promote a data-driven culture and breaks down information silos. Prior to this, Rachel worked as a Postdoctoral Researcher at the University of Pennsylvania, conducting research in theoretical advances in persistent homology and applying topological methods in machine learning. Rachel also worked as a Graduate Student at Rutgers University, where they focused on finding patterns in large datasets using computational topology. Rachel has experience in the industry as well, having worked as a Business Systems Analyst at Fidelity National Financial and Wells Fargo Services Company. Overall, Rachel's work experience showcases their expertise in data science, computational topology, and business analysis.

Rachel Levanger completed their Bachelor's degree in Mathematics and Art History at the University of North Florida from 2009 to 2012. Rachel then pursued a Doctor of Philosophy degree in Mathematics at Rutgers University, where they were enrolled from 2012 to 2017. Prior to their undergraduate studies, Rachel attended Portland State University from 2002 to 2006 to study Mathematics, although the information does not specify whether they obtained a degree.