I am an Assistant Professor in the Faculty of Computing & Data Sciences at Boston University and Director of the Data Science of the Mind Lab.

I previously completed a postdoc at Princeton University in the Department of Computer Science and a PhD at UC Berkeley, where I was a member of the CoCoSci Lab and the Berkeley Artificial Intelligence Research (BAIR) Lab.

I study human cognition, with a primary focus on decision making.

Building a rigorous scientific understanding of the mind has remained a difficult challenge for decades, in large part because traditional studies capture only limited snapshots of the broader complexity of human behavior.

My research engages directly with this problem by developing new ways to improve scientific theories of cognition using large-scale behavioral experiments, machine learning, and computational cognitive modeling. I have used this approach, for example, to discover improved theories of risky decision making.

Much of my current work focuses on how people make choices involving risk, uncertainty, strategic interaction, and other complex tradeoffs. I also have an enduring interest in the broader computational foundations of cognition, including generalization, categorization, and mental representation.