Project Directions

Project directions are public starting points for students, collaborators, contributors, and partners.

AI/ML

AI Models for Gene Expression

Graph, sequence, hybrid, and foundation models for predicting gene expression and regulation from standardized biological designs.

autonomous laboratories

Autonomous Laboratory Operations

Facility orchestration, humanoid robotics, equipment integration, and safe recovery for sustained autonomous DBTL campaigns.

digital twins

Digital Twins of Microbial Communities

Agent-based simulations for engineered microbial communities, host-microbiome systems, and plant-associated ecosystems.

genetic networks

In Vivo Biological Intelligence

Genetic network architectures for biological sensing, computing, reporting, adaptation, and decision-making.

DBTL

Programmatic DBTL Workflows

Modular workflows that connect LOICA, PUDU, BuildCompiler, Flapjack, SynBioHub, and SeqTrainer across the engineering cycle.

standards

Standards for Programmable Biology

Standards-enabled data infrastructure that makes genetic design, build metadata, and experimental measurements reusable.