Workforce Development

We are educating the next-generation workforce with critical skills and providing tools to rapidly deploy these skills. Traditional education either trains materials scientists or computer scientists. However, building self-driving labs (SDL) requires expertise in both, and those with such dual knowledge are few and far between. We are helping to educate the existing as well as the next-generation workforce with materials informatics skills coupled with material science knowledge. We also provide tools to deploy these skills rapidly. This includes knowledge and tools for machine learning, as well as the integration of data, computation, and in-lab experiments to accelerate materials optimization and discovery. Our customers include scientists and engineers from industry, academia, and national labs.

Projects

• Annual Machine Learning for Materials Research Bootcamp
• A Low-Cost Robot Science Kit for Education
• REMI: REsource for Materials Informatics