Department of Cognitive Science

To understand the mind is to
understand ourselves.

My work explores the intersection of neural topologies and ethical boundaries. We seek clarity in the noise of automated systems.

Areas of Inquiry

01

Adaptive Topologies

Investigating self-organizing maps in resource-constrained environments. We aim for elegance in code.

NSF Funded
02

Algorithmic Accountability

Frameworks for auditing bias. Justice is not a variable, but a constant foundation.

In Progress

Selected Writings

The Paradox of Automation

2024

Naranjo, E., & Chen, S. — Journal of AI Research

Gradient Descent Strategies

2023

Rodriguez, M. & Naranjo, E. — NeurIPS

Pedagogy

"We do not learn for school, but for life."
Fall 2024

Intro to Machine Learning

Spring 2024

Ethics in Computing