In addition to research, I am committed to making modern, computational methods more accessible to statisticians and scientists, as well as those without a traditional STEM background. During my time at UNC I created and taught the first data science course offered by the Statistics Department, which is now a permanent part of the curriculum.

Teaching experience


  • STOR 390: Introduction to Data Science (Spring 2017)
    Created and taught an undergraduate introduction to data science course for UNC's STOR department with funding from Data@Carolina. This course is now STOR 320 and is taught by the fantastic Mario Giacomazzo.

  • JOMC 390: Data Driven Journalism (Spring 2016)
    Graduate Research Consultant for Professor Ryan Thornburg's data journalism class.

  • Coach for UNC's DataFest team (Spring 2016, 2017)
    Helped prepare students for DataFest, a data analysis competition for college students.

  • Data Science tutorials
    I occasionally teach introduction to data science tutorials in both R and Python. This page has resources and exercises to learn Python/R.

  • Instructor for UNC STOR-BIOS Summer Boot Camp (Summer 2017)
    • Taught a two week linear algebra course for incoming statistics and bio-statistics graduate students
  • Teaching Assistant (2014-2015)
    • STOR 113: Decision Models for Business and Economics
    • STOR 634: Measure Theory