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 am particularly interested in teaching Data Analytics and Artificial Intelligence courses. These subjects are the perfect venue to demonstrate the power of advanced analytics while tackling the ethical issues that arise with new technologies.

Teaching Experience

Data and Decisions 2022-2025
Teaching Assistant • UCLA Anderson School of Management
MBA Core • 140 Students
Optimization 2025
Teaching Assistant • UCLA Anderson School of Management
MSBA • 30 Students
Prescriptive Models & Data Analytics 2024
Teaching Assistant • UCLA Anderson School of Management
MSBA • 30 Students
Operations and Technology Management 2024
Teaching Assistant • UCLA Anderson School of Management
Global Executive MBA • 40 Students
Introduction to Organizations 2009
Teaching Assistant • Universidad Politécnica de Madrid
IMIM • 30 Students