Digital & Algorithmic Disruptions

In MUN160: Digital and Algorithmic Disruptions, I explored how technologies are shaped not just by engineering choices, but by institutions, incentives, and the social contexts in which they’re built.

Outside the classroom, I extended this work through a published Medium essay analyzing the myth of technological inevitability and the political, economic, and military structures that shape innovation. Synthesizing research across history, AI policy, platform economics, and geopolitical tech competition helped sharpen my ability to translate complex systems into accessible insights.

Engaging with this material strengthened skills that directly complement my engineering work:

• Systems thinking — understanding how technical decisions reflect broader power structures, stakeholders, and trade-offs.

• Policy and ethical literacy — evaluating AI/tech development through governance, regulation, and societal impact.

• Analytical writing & communication — distilling dense research into clear narratives for diverse audiences.

• Interdisciplinary problem framing — combining engineering, history, economics, and political science to reason about large-scale technologies.

This experience ultimately shaped how I approach engineering: building not only for performance, but for the people, institutions, and futures that technology inevitably touches.

Cadario Visiting Lecture with Professor Martha Minow at the Munk School of Public Policy. October 2025.