Hi!

I’m a data scientist with a background as a researcher in cognitive psychology and neuroscience. I work at Flatiron Health, where we rethink how to use oncology data to improve patients’ lives, and I blend technical execution, analytical processes, and strategic thinking with a collaborative mindset. My work often involves building structured data systems, uncovering insights that guide decision-making and product strategy, and delivering data-driven solutions to streamline workflows.

Before joining Flatiron Health, I was a fellow at Data Science for Social Good at Carnegie Mellon University, where I collaborated with Douglas County and Johnson County, Kansas to reduce behavioral health crises. There, I was part of a team that built an end-to-end machine learning pipeline—integrating diverse datasets from hospitals, jail systems, and other sources—to predict individuals most at-risk of a crisis and enable proactive mental health outreach.

Before that, I received my PhD in Psychology and Neuroscience from Princeton University where I worked in the Princeton Computational Memory Lab with Ken Norman, and in the Turk-Browne Lab with Nick Turk-Browne. As a researcher in academia, I managed experimental projects exploring learning, memory, and mental health, using in-person and online studies, longitudinal surveys, and computational modeling.

I received my Bachelor’s Degree in Psychology and Philosophy from Columbia University, where I worked in the Adaptive Behavior Lab with Peter Balsam, and the Cognitive Neuroimaging Lab with Edward Smith.

Away from work, I’m a New Yorker who loves spending time around the city: comedy shows, new food spots, museums, or random festivals recommended by a friend of a friend. I frequently go rock climbing, and I’m a writer—poetry, essays, media criticism.