Jeremias Lino Ferrao

Jeremias Lino Ferrao

Reinforcement Learning and Mechanistic Interpretability Researcher

My research tackles the challenge of open-endedness by understanding the mechanisms of learning and exploration. I believe that building more capable agents and making them interpretable are mutually reinforcing goals; progress in one accelerates the other. This dual pursuit is motivated by a scientific curiosity in the principles of discovery and the practical need for safe, aligned AI.

Experience

Research Fellow

Apart Research

Sep 2024 - Present

Technical Alignment Lead

AI Safety Initiative Groningen

Oct 2023 - Present

Research Mentee

EleutherAI

Aug 2025 - Nov 2025

Member and Vice Chair

Fully Connected Graph, Cover

Sep 2022 - Mar 2025

Education

PhD (Pursuing)

To Be Determined

20XX - 20XX

Master's in Artificial Intelligence

University of Groningen

2024 - 2026

Bachelor's in Artificial Intelligence

University of Groningen

2021 - 2024

Interests

AI Alignment Interpretability Sparse Coding Open Endedness Intrinsic Motivation Continual Learning Self Improvement World Models