Research Interests
My research focuses on digitalization and automation in food science, emphasizing global responsibility, data-driven research, and sustainable system design.
Lab Automation
Enabling scalable, reproducible food experimentation through advanced sensing, robotic handling, and high-throughput physical characterization.
Key Areas:
- •Advanced material sensing
- •Contactless mixing systems
- •High-throughput texture analysis
AutomationSensingCharacterization
Agents for Food Design
Developing intelligent agentic systems that reason, design, and monitor food products across formulation, nutrition, and quality dimensions.
Key Areas:
- •Sugar-reduction agents
- •Meal monitoring agents
- •Quality inspection agents
Agentic SystemsFormulationQuality
Structural Representation of Food Materials
Creating data-driven representations of food structure that connect composition, processing, and functionality.
Key Areas:
- •Unified food structure datasets
- •Multimodal machine learning
- •Structure-property modeling
Food StructureMultimodal MLModeling