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