I am a computational neuroscientist at Harvard Medical School, with a background in physics and over a decade of experience turning complex brain and behavioral data into clear, actionable insight. My work combines experimental design, EEG and neuroimaging, machine learning, and information-theoretic analysis to understand how the brain processes information and drives behavior and decision-making. I have published more than 60 peer-reviewed papers, including first-author work in Nature Medicine, and I am experienced at communicating rigorous findings to non-expert audiences. I am drawn to applied work that bridges academic neuroscience and real-world decisions, translating what we know about the brain into insight that teams can actually act on.