I am a postdoctoral research fellow in the lab of Rafael Irizarry in the department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute and Harvard T. H. Chan School of Public Health. My research focuses on developing statistical methodology and computational tools for the analysis of high-dimensional genomics data. Most of my work has revolved around experiments that use next-generation sequencing technologies to characterize the genomic basis of complex traits.

I earned my PhD in the Department of Statistics at the University of Wisconsin Madison in May 2015 under the direction of Christina Kendziorski. My thesis work involved analyzing the mutation spectrum of cancer genomes and studying the gene expression of single cells. Check out my research page to learn more.

In addition to biostatistics research, I have a strong passion for teaching introductory statistics. In the spring of 2014, I was an instructor for Statistics 324: Introductory Applied Statistics for Engineers at UW Madison. This first-semester course in statistics covers concepts from probability and random variables to statistical inference and linear regression. Students also received basic training in the use of R to perform data analysis. Visit my teaching page to learn more.

Last updated December 2015