Resources
Guides, primers & tools
The primers we hand new lab members and the software we build in the open — from machine learning for biomaterials to the tools that run our self-driving experiments.
Guides & primers
Practical primers we wrote for new lab members — from machine learning for biomaterials to the polymer characterization techniques we rely on.
A user's guide to machine learning for polymeric biomaterials
How to bring machine learning to bear on polymer biomaterials — framing problems, choosing models, and avoiding common pitfalls.
Download →Polymer Chemistry 101
A ground-up primer on the controlled polymerization chemistry that underpins the lab’s synthesis platforms.
Download →SAXS 101
An introduction to small-angle X-ray scattering for probing polymer and nanoparticle structure.
Download →SEC-MALS 101
Size-exclusion chromatography with multi-angle light scattering for measuring molar mass and size.
Download →Setup & computing
The environment we set up new students with — Python, Linux, developer tooling, and cloud computing on AWS.
Python project setup guide
Standing up a reproducible Python project the way the lab does it — environments, structure, and conventions.
Download →Linux, Claude Code & GitHub guide
Installing and using Linux, Claude Code, and GitHub for day-to-day research computing.
Download →Amazon AWS student guide
Getting started with cloud computing on AWS for lab research workflows.
Download →Tools & code
Software built in the lab to run self-driving experiments, plus the templates and repositories we work from in the open.
Geppetto
An autonomous, AI-driven laboratory platform that closes the Design-Build-Test-Learn loop across cloud and bench.
Visit →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 →GitHub project template
The lab’s starting-point repository template for new research projects.
Visit →Gormley Lab on GitHub
Open-source code, tools, and analysis from across the lab’s projects.
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