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I'm Daniel, a researcher and creator working at the intersection of psychology, behavior change, and applied AI.
My PhD focused on the intention–behavior gap—why people fail to follow through on their goals—and on developing data-driven, personalized models that use real-world behavioral signals (digital traces from wearables, phones) to better predict and support everyday action.
Today, I build tools that turn that research into practical systems. My main project, Pairent, is an AI-powered parenting aid that helps families capture daily interactions and receive actionable, evidence-based feedback.
On the side, I prototype small, playful (and genuinely useful) systems like Bread-y, an internet-connected button and app that notifies me when my local bakery's pain au chocolat come out of the oven.
I also treat my own training as a living lab. My current experiment—16sub16—will see how close I can get to a sub-16 minute 5k with 16 weeks of structured training.
I'm interested in thoughtful technology that improves everyday life, and I'm always open to connect with collaborators, employers, and funders with aligned interests.
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