In my career as a faculty member, I have taught a variety of courses in data science to more than 1,560 students in different colleges and universities. I am also the organizer of the Summer Institute in Computational Social Science at the University of Rochester. Below, you can find a detailed list of the classes I have taught:

• University of Rochester [Goergen Institute for Data Science and Artificial Intelligence], Rochester, New York

  • Data Mining [undergraduate] (Fall 2025) (~60 students)

  • Data Science Capstone [undergraduate + graduate] (Fall 2025) (~40 students)

  • Summer Institute in Computational Social Science (SICSS) (Summer 2025) [undergraduate + graduate] (~20 students)

  • Introduction to Statistical Machine Learning [undergraduate + graduate] (Spring 2025) (~70 students)

  • Data Science Capstone [undergraduate + graduate] (Spring 2025) (~55 students)

  • Data Mining [undergraduate] (Fall 2024) (~75 students)

  • Data Science Capstone [undergraduate + graduate] (Fall2024) (~55 students)

  • Summer Institute in Computational Social Science (SICSS) (Summer 2024) [undergraduate + graduate] (~20 students)

  • Introduction to Statistical Machine Learning [undergraduate + graduate] (Spring 2024) (~110 students)

  • Data Science Capstone [undergraduate + graduate] (Spring 2024) (~40 students)

  • Data Mining [undergraduate] (Fall 2023) (~75 students)

  • Data Science Capstone [undergraduate + graduate] (Fall 2023) (~50 students)

  • Summer Institute in Computational Social Science (SICSS) (Summer 2023) [undergraduate + graduate] (~15 students)

  • Introduction to Statistical Machine Learning [undergraduate + graduate] (Spring 2023) (~100 students)

  • Data Science Capstone [undergraduate + graduate] (Spring 2023) (~50 students)

  • Data Mining [undergraduate] (Fall 2022) (~50 students)

  • Data Science Capstone [undergraduate + graduate] (Fall 2022) (~55 students)

  • Summer Institute in Computational Social Science (SICSS) (Summer 2022) [undergraduate + graduate] (~20 students)

  • Introduction to Statistical Machine Learning [undergraduate + graduate] (Spring 2022) (~150 students)

  • Data Science Capstone [undergraduate + graduate] (Spring 2022) (~50 students)

  • Data Mining [undergraduate] (Fall 2021) (~50 students)

  • Data Science Capstone [undergraduate + graduate] (Fall 2021) (~55 students)

• Denison University [Department of Data Analytics], Granville, Ohio

  • Advanced Methods for Data Analytics [undergraduate] (Spring 2021) (~10 students)

  • Introduction to Data Analytics + Lab (2x) [undergraduate] (Spring 2021) (~50 students)

  • Advanced Methods for Data Analytics [undergraduate] (Fall 2020) (~10 students)

  • Introduction to Data Analytics + Lab [undergraduate] (Fall 2020) (~25 students)

  • Advanced Methods for Data Analytics [undergraduate] (Spring 2020) (~10 students)

  • Introduction to Data Analytics + Lab [undergraduate] (Spring 2020) (~25 students)

  • Advanced Methods for Data Analytics [undergraduate] (Fall 2019) (~10 students)

  • Introduction to Data Analytics + Lab [undergraduate] (Fall 2019) (~25 students)

• Ohio Wesleyan University [Department of Mathematics and Computer Science], Delaware, Ohio

  • Social, Cultural, and Ethical Aspects of Big Data [undergraduate] (Spring 2019) (~10 students)

  • Introduction to Data Analytics [undergraduate] (Spring 2019) (~30 students)

  • Data Visualization [undergraduate] (Fall 2018) (~10 students)

  • Introduction to Data Analytics [undergraduate] (Fall 2018) (~30 students)

  • Basic Probability and Statistics [undergraduate] (Fall 2018) (~30 students)