Progress has been made in the following areas through various experimental and technical approaches:
- Identified advantages of fungi steak over other types of meat in terms of moisture and fibrousness
- Conducted detailed textural analysis on different kinds of meats
- Designed simplified models capable of predicting elephant trunk movements quickly
- Proposed the best mechanical models for ultra-anisotropic knitted polypropylene fabrics
- Introduced a new efficient, robust, and user-friendly strategy to discover the mechanical signatures of both traditional and unconventional soft materials
- Explored a universal material subroutine that allows users to easily integrate novel constitutive models into nonlinear finite element programs
Research Experience
Research spans from food science to biomechanics, including but not limited to:
- Using AI technology to improve food innovation
- Investigating the potential of fungi as a meat substitute
- Exploring the relationship between mouthfeel and material stiffness
- Analyzing textural properties of plant-based and animal meats
- Designing simplified models inspired by nature to predict the motion of biological structures
- Developing new models for textile materials
- Evaluating how well plant-based artificial meats mimic the texture of animal meats
- Combining Bayesian learning methods to understand and interpret uncertainties in soft matter systems
Background
Research interests include: integrating physics-based modeling with machine learning to understand, explore, and predict the dynamics of living systems; using AI to accelerate the transformation of the global food system; developing alternative protein sources (such as fungi) for health and environmental sustainability.