Teaching Philosophy

Bridging theory and practice through active learning.

My journey into academia was not traditional. After five years as a Management Consultant and four years as the Head of Advanced Analytics, I returned to the university environment inspired by the mentors who shaped my own career.

These professors did more than transfer knowledge; they facilitated my personal growth and helped me navigate the complexities of the real world. As a future educator, I am driven by that same purpose: to find joy in interactions with students and to help them see the impact of their decisions on their companies, their peers, and society.

Because of my background, I view the classroom as a bridge between abstract theory and professional practice. I intend to do more than teach concepts. I will use my corporate experience to make those concepts tangible. I believe in ''learning by doing''. I plan to design assignments that require students to engage actively with the material rather than passively consume it. For instance, during my time in the industry, I fostered collaborations with universities. I hosted a project for the MIT Analytics Lab where students solved live business problems using our data. I am committed to bringing these types of real-world challenges into my future curriculum.

In fields like Operations and Data Analytics, technical skills are only half the equation. My teaching will emphasize critical thinking and ethical decision-making. I will challenge students to consider the broader consequences of their work. They must understand not just the ''how'', but the ''why''. I also advocate for the thoughtful integration of technology. We cannot ignore tools like Generative AI. Instead, I will encourage students to use them to understand both their capabilities and their limitations.

Looking Forward: I believe we are at an inflection point in how data and AI reshape organizations, markets, and society, and I want to bring that urgency into the classroom. I am particularly interested in teaching Data Analytics and Artificial Intelligence courses, equipping students with both the technical tools and the ethical frameworks to navigate this transformation responsibly.