Ellen Kuhl
Scholar

Ellen Kuhl

Google Scholar ID: jjQDKYYAAAAJ
Catherine Holman Johnson Director of Stanford Bio-X and Walter B. Reinhold Professor of Engineering
Automated ScienceMachine LearningAutomated Model DiscoveryLiving MatterBiophysics
Citations & Impact
All-time
Citations
16,809
 
H-index
66
 
i10-index
240
 
Publications
20
 
Co-authors
175
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • 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.