Teaching

Courses Designed

  • MA 601: Mathematical Foundations of Data-Driven Science and Machine Learning (graduate, interdisciplinary), Clarkson University, 2022
  • DS 413: Statistics for Data Science, ERAU, 2024
  • DS 150: Introduction to Data Science, ERAU, 2024
  • DS 151: Foundations of Data Science, ERAU, 2024

DS 150 and DS 151 were designed as a coherent two-course pathway providing a rigorous foundational entry into data science.

Courses Taught

Graduate: Mathematical Foundations for Chemical Engineering; Mathematical Foundations of Data-Driven Science and Machine Learning.

Undergraduate: Calculus I and III; Applied Linear Algebra; Probability and Statistics; Differential Equations; Dynamical Systems; Discrete Mathematics; Introduction to Data Science; Foundations of Data Science; Data Visualization; Statistical Computing.

Program Leadership

Program Coordinator, Data Science, ERAU (2024–Present): curriculum planning and coordination, oversight of course sequencing, and interdisciplinary alignment across the program.

Student Initiatives & Outreach

  • Founder & Supervisor, ERAU Mathematics & Data Science Club (2025–Present)
  • Founder & Director, ERAU Data Science Summer Camp (2024–Present)