Welcome!

I am a Research Scientist at Woven by Toyota, where I work on building intelligent systems that understand and simulate human behavior. My research focuses on developing AI agents that can faithfully reproduce human decision-making patterns, with applications in recommender systems, autonomous systems, and human-AI interaction.

My work bridges the gap between large language models (LLMs) and real-world user behavior. I am particularly interested in how we can train AI agents to internalize world dynamics and align with human preferences through counterfactual reasoning, self-reflection, and intrinsic motivation.

Prior to Woven by Toyota, I worked on reinforcement learning and intrinsic motivation, exploring how agents can learn efficiently through curiosity-driven exploration and hierarchical learning from human feedback.