I grew up in Vale, South Dakota, a town of 114 people an hour north of Rapid City. I completed my Bachelor of Science degree in Applied and Computational Mathematics at the South Dakota School of Mines & Technology in Rapid City in 2006. My love for the outdoors brought me to Flagstaff, AZ and Northern Arizona University where I completed my Masters in Statistics in 2008. I worked as an actuarial student at Scottsdale Insurance Company in Scottsdale, AZ prior to returning to graduate studies in 2010.
I completed my Ph.D. in Statistics at Arizona State University (ASU) in 2013. During my time at ASU, I worked with Randall Eubank as my dissertation advisor. My dissertation focused on the testing of pseudorandom numbers in a parallel computing environment.
Before moving in the summer of 2015 to start work as an Instructional Technologist/Statistical Consultant at Reed College, I was an assistant professor in the Mathematics and Computer Science Department at Ripon College in Wisconsin for two years. I then worked in the positions of Senior Curriculum Lead and Head of Content Development for DataCamp. Since July 2019, I’ve been a Data Science Evangelist for the DataRobot University team at DataRobot. In my role at DataRobot, I teach and develop content for in-person workshops on data science and machine learning including the DataRobot Essentials, DataRobot for Data Scientists, and Advanced DataRobot with R courses. I work from and am based in Portland, Oregon in the US.
I am interested in the use of simulation and statistical computing to improving statistics and data science education. My passion is for working with others on statistical projects using the R computing language and on pushing for reproducible research in all aspects. I am also interested in statistics in sports and in enhancing public awareness and knowledge of the fields of statistics and data science. I have taught many collegiate courses over the last ten years with varying roles from primary instructor to recitation/lab leader. My love for engaging students in mathematical, computational, and statistical concepts influences my work greatly.