NASA’s Active Learning Physics Simulator (ALPS)
Stephen Casey
About the Project:
The project was to build software that can learn, model, and simulate systems in any scientific domain.
Deliverables:
Software that creates accurate and computationally-tractable models that span a range of lengthscales and timescales in engineering design, climatology, and biology.
A method to inform researchers which experiments to perform for a given budget.
A scientifically-precise quantification of risk that can be used to improve both cost and safety.
Our Process:
I tried something new with this project. Instead of using a hierarchy to organize the team, I organized the team using the ring structure shown below. Combined with an agile approach, this works incredibly well. I’ll certainly be using this method again in the future.
Results:
As a result of this work, NASA will be able to save millions of dollars on complex projects in the future.
What the Client Said:
"That blew my mind." - Audience member after presenting the work at CERN
Portfolio:
