Rutgers Biomedical Engineering
Self-driving labs for polymer biomaterials and drug delivery.
We close the loop between robotic synthesis, high-throughput characterization, and machine learning to discover bioactive polymers faster than human-led design.
How we work
A closed loop, running continuously
We treat discovery as a cycle. Robots make and measure; models learn and decide what to make next — Design, Build, Test, Learn, without waiting on human-led design.
Research
Three pillars, one method
Method over material: automation and machine learning applied to polymer biomaterials and drug delivery.
Automation
Robotic, high-throughput polymer synthesis — including automation-assisted photoinduced ATRP.
Learn more →02Machine learning
Active learning and Bayesian optimization guide which experiments to run next.
Learn more →03Self-driving labs
The closed loop applied to nanomedicine and drug delivery.
Learn more →Publications
Featured work
- 2026
Automated active learning to optimize hydrogel drug release profiles
- 2026
Self-driving lab for the data-driven design of single-chain polymer nanoparticles
- 2025
Automation-assisted photoinduced atom transfer radical polymerization
News
Latest
- July 1, 2026
A new home for the Gormley Lab
- June 5, 2026
A self-driving lab designs single-chain polymer nanoparticles
- March 25, 2026
A user's guide to building your first self-driving lab
Open tools
Built in the lab, shared with the field
Software that runs our self-driving experiments.
Geppetto
An autonomous, AI-driven laboratory platform that closes the Design-Build-Test-Learn loop across cloud and bench.
Visit website →Jiminy
A wise research companion for your scientific journey. Jiminy helps you manage academic papers and chat with an AI assistant that's always grounded in your literature.
Visit website →We're recruiting curious scientists and engineers.
Interested in automation, machine learning, and the future of biomaterials discovery? We'd like to hear from you.
Join the lab