Bryan Nelson

I am currently an instructor in the Department of Statistics at the University of Pittsburgh, where my job is highly centered around teaching and education. I developed a course on sports analytics that I teach every fall, and my other teaching responsibilities primarily focus on applied regression and working directly with our statistics majors. Beyond the classroom, I serve as an academic advisor for students majoring in statistics, data science, or pursuing the dual degree in economics and statistics. I also act as the TA advisor for the department, helping to oversee our graduate students in their teaching and grading roles. In addition, I work with dozens of high schools across Pennsylvania as one of the Statistics department's liaisons for the College in High School program.

I completed my doctorate in Instructional Technology at Duquesne University in 2019, focusing on the impact that formative assessment has on student performance on exams in my dissertation. Prior to beginning my career as an instructor, I earned Master's degrees in Applied Statistics from Pitt in 2014 and Computational Mathematics from Duquesne in 2012. My Master's thesis at Duquesne focused on predicting the results of the NCAA Tournament using Bayesian statistics and Monte Carlo simulation.

Away from the classroom, I am a huge fan of all Pittsburgh sports, Butler and Gonzaga college basketball, and Crystal Palace soccer. In my free time, I enjoy traveling, photography, running, and hiking as well as working on my sports history simulation side project, Retro Stat Sports. This site hosts my teaching, my side projects, and my favorite photos from my journeys.