• VAriation-Leveraged Phenomic Association Study (VaLPAS) to Explore Molecular Dark Matter
  • PI: Jason McDermott
• AI-Automated Phenotyping
  • PI: Bram Stone
• A Biologically Informed Bayesian Prediction Framework
  • PI: Lisa Bramer
• Transfer Learning for More Efficient Bioenergy Experimental Design and Discovery
  • PI: Kelly Stratton & Javier Flores
• An Integrative Workflow For Processing, Visualization, And Analysis Of Multifaceted Proteome Towards Predictive Phenomics
  • PI: Song Feng
     

Past Projects

• Predicting Cellular States From Emergent Protein Assemblies
  • PI: Margaret Cheung
• Predicting Cell Regulation Phenotypes with Small Molecule Data​
  • PI: Ethan King
• Model-Based Prediction and Control of Phenotypic Traits in Microbial Consortia
  • PI: Jeremy Zucker & Vlad Petyuk