I am a current Statistics PhD student at Carnegie Mellon University. I received my M.S. from CMU in 2015 and graduated from the College of Saint Benedict in 2014, where I studied math and computer science.


My research interests are rooted in applications in the social sciences, with a current focus on forensic evidence and criminal justice reform.

I am currently involved with the center for statistics and applications in forensic evidence (CSAFE), and am focusing on probabilistic graphical models for combining evidence and identifying cognitive biases in forensic science. I have also worked on the application of new statistical methodology and experimental design for eyewitness identification lineup procedures and data analysis methods for proficiency testing of fingerprint examiners.

My other research interests include data visualization, nonparametric inference, categorical data analysis, and statistics education.


I was the instructor for the 2017 Summer I session of Introduction to Probability Theory (36-225) and 2016 Summer II session of Experimental Design for Social and Behavioral Sciences (36-309) through the Carnegie Mellon University statistics department. I have also worked as a teaching assistant for various undergraduate statistics courses, as well as an undergraduate teaching assistant for calculus at the College of Saint Benedict.

I also designed a series of introductory probability lectures as a supplemental program for forensics students participating in the Summer Undergraduate Research Program (SURE) in both 2016 and 2017. Lecture slides and board examples were developed for this program.