Dynamic Culinary Experiences

Computational Design of Culinary Experiences Before, During, and After Eating

Dissertation framework connecting pre-eating, eating, and post-eating experiences.

My doctoral research investigates how computational food fabrication can shape how culinary experiences unfold over time. It covers anticipation before the first bite, changes in flavor and texture during chewing, and reflection that informs future meals.

The research connects edible information tags, spatial seasoning placement, computational molding for temporal texture, and preference-based fabrication. Ongoing work develops methods for mapping intended experiences to food structures and fabrication parameters, and evaluating the resulting experiences.

The research has been accepted to the ACM UIST 2026 Doctoral Symposium, with a presentation scheduled for November 2, 2026.