I am a behavioral scientist studying learning, decision-making, and how people and animals adapt to uncertainty. My work combines experimental design, data analysis, and computational thinking to understand how new associations are formed and how prior experience shapes behavior.

My goal is to understand the principles of behavior that generalize across biological organisms and AI, from simple learning systems to more complex forms of decision-making.

Here are my research interests.

Across studies in non-human animal models, I investigate how individuals make choices with incomplete information, with a focus on generalizable mechanisms such as inference, choice under uncertainty, and reinforcement learning.