Nicholas DiRienzo

Adjunct Lecturer
  • Data Science Pedagogy
  • Applied Machine Learning
  • Quantitative Research Methods

Nicholas Di Rienzo's goal first and foremost is to be a quality educator in data science. His experience comes from a decade of doing experimental biology, co-founding a data-science consulting company, and years of both teaching and participating in a range of active-learning seminars and courses. In the classroom, he applies interactive learning techniques that teach various data science methods by applying them to a range of real-world situations and problems.