I am a data scientist and engineer with a foundation in machine learning, focused on building systems that are reliable under real-world constraints. My research centers on safe reinforcement learning from limited or imperfect feedback. I am increasingly drawn to how computational accounts of cognition, particularly around cost, control, and conflict monitoring, can inform more principled approaches to AI safety.