Currently, I am an associate professor in the Division of Biostatistics and Health Data Science at the University of Minnesota. My focus is primarily on collaborative work in the Masonic Cancer Center and using innovative methods to teach biostatistics to students within the School of Public Health. I enjoy mentoring graduate and professional students working on collaborative research. I have previously done methodological research in the area of statistical learning with a focus on developing sparse regression techniques applicable to high-dimensional data.

In August 2016, I completed my Ph.D. in Biostatistics from the University of Washington. While at UW, I developed methods for data-adaptive modeling in the area of high-dimensional statistics under the direction of Noah Simon and Daniela Witten, while also gaining experience in applied settings through working at the UW Clinical Trial Center for the Resuscitation Outcomes Consortium and doing consulting work. After completing my degree, I had a postdoctoral appointment at UW, focusing on developing methods for the analysis of calcium imaging data. Prior to my time at UW, I graduated with a B.A. in mathematics and a statistics concentration from St. Olaf College in May 2011.

For more details, see my [CV].

Email: pete6459(at)umn.edu