Senior Research Scientist · Toyota Research Institute
Building AI that understands people — grounded in cognitive neuroscience, motivated by human flourishing.
About
I'm a Senior Research Scientist in the Human-Centered AI division of the Toyota Research Institute, where I work on the Future Product Innovation team. My research sits at the intersection of behavioral science and AI — combining theory- and data-driven approaches to investigate how context modulates learning and decision-making.
I'm particularly interested in motivation, flexible self-regulation, and developing personalizable interventions for individual behavior change. I use diverse methods — physiological monitoring, neuroimaging, experience sampling, pharmacological manipulation, and computational modeling — to characterize the neural and psychological mechanisms that support learning and choice.
My current work focuses on two questions: how can novel approaches to preference elicitation resolve unique preference signals? And can neuroscience inspire more effective support for human creativity, especially when combined with generative AI?
Research
Using computational neuroimaging to study how affective context, motivation, and individual differences shape learning and choice — from risky decisions to intertemporal trade-offs.
fMRIComputational modelsRewardDeveloping neuroscience-informed, personalizable interventions for individual behavior change. Previously led behavioral labs at Welltok, designing science-based health interventions at scale.
Intervention designSelf-regulationmHealthDeveloping novel methods to resolve unique preference signals from behavior and language — including cognitive complexity measures that predict consumer choice and inform product innovation.
NLPConsumer behaviorLLMsExploring how psychology and neuroscience can inspire better support for creative problem-solving, especially when combined with generative AI — supporting TRI's Future Product Innovation work.
Generative AIDesignCHISelected Work
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