Engineering & Biology · Co-development
Agents now drive the tools of every discipline.
Design, simulation, and lab analysis platforms can now be operated in plain language. That opens expert tools to more students — and creates the same supervision gap computing faces. AIML has working prototypes in engineering and biology, and we’re looking for faculty to build them into courses with us.
Engineering
AI-assisted design
An AI agent connected to professional design software can model a part from a sentence. Our engineering prototype asks what first-year engineers need to know to judge whether that part is right.
Prototype lab in development with Western Carolina University engineering faculty. We’re seeking additional engineering faculty to adapt and study it.
Grants in preparation
Biology
Perturbing a minimal cell
JCVI-syn3A is the simplest living cell ever modeled in full. Our early biology prototype lets students explore its metabolism through an AI agent — changing conditions, running the model, and deciding whether the results make biological sense.
An early prototype, still rough. We’re looking for biology faculty who want to help shape it into a course lab.
Seeking co-developersGrants in preparation
How co-development works
You bring the discipline. We bring the framework.
Every field will need its own version of human-in-the-loop practice. We build it together, study it together, and fund it together.
- You bring: domain expertise, a course or lab section, and the judgment of what a correct result looks like in your field.
- You get: co-authorship, a co-PI role on grant proposals, and a lab your students can use.
- We bring: the human-in-the-loop framework, working prototypes, tooling, evaluation design, and grant writing.
- Funding: grants in preparation.
Join the Fall 2027 Pioneer Cohort
Tell us about your field and your course.
We’ll set up a short call to show the prototypes and talk through what a lab in your discipline could look like.
Choose “An engineering lab” or “A biology lab” in the form, or write to info@avlml.org.
