Teaching philosophy

“Per Aspera ad Astra” — through hardship to the stars

Learning is a journey pursued through patience, perseverance, and persistent dedication. This is especially true in the AI era, where fast solutions are cheap and tempting.

My goal as an instructor is to inspire students and stimulate their critical thinking, ensuring that they reach an adequate level of scientific literacy that will persist beyond the classroom.

I put specific effort in managing students’ attention and pacing the rhythm of each lecture, using techniques I learned in my years spent as an actor. I also like to integrate recent developments in the research world into course materials to further stimulate curiosity and help students understand the practical utility of the subject.

Rembrandt, Student at a Table by Candlelight, ca. 1642 · The Met

For my teaching activity at Duke University, I received the Teaching assistant of the year award in 2021.

Read here the student evaluations!

Teaching experience

  • [Fall 2026] - Guest Instructor - Bayesian Statistics (undergraduate). Instructor: Lorenzo Trippa. Harvard University.
  • [Spring 2023] - Teaching assistant, STA440 - Case Studies in the Practice of Statistics (undergraduate). Instructor: Amy Herring. Duke University.
  • [Fall 2021] - Teaching assistant, STA610 - Hierarchical models (graduate). Instructor: Olanrewaju (Michael) Akande. Duke University.
  • [Fall 2020] - Teaching assistant, STA601 - Bayesian statistics (graduate). Instructor: David B. Dunson. Duke University. Recipient of the 2021 Ph.D. Teaching Assistant of the Year.
  • [Spring 2020] - Teaching assistant, STA360 - Bayesian statistics (undergraduate). Instructor: Simon Mak. Duke University.
  • [2016-2018] - Instructor at TEST WE CAN srl - a complete coursework designed to prepare high school students for the Bocconi admission test.

Address:
655 Huntington Ave, Boston, MA 02115, United States
Email:
azito@hsph.harvard.edu
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