Are you interested in unlocking the full potential of your materials data? Whether you’re developing new materials for cutting-edge applications or optimizing existing materials for better performance, you need advanced tools and expertise to manage and analyze your data effectively. This is where Enthought comes in. Enthought is a leading provider of scientific computing solutions that help organizations across industries to accelerate innovation, reduce costs, and increase productivity.
To learn more about Enthought’s materials science solutions and the challenges and opportunities of materials data management and analysis, we interviewed Chris Farrow, the VP of Materials Science Solutions at Enthought. Chris has more than 20 years of experience in materials science, chemistry, and software development, and has been instrumental in creating and advancing Enthought’s materials science platform. In this interview, Chris shares his insights on the latest trends in materials science, the role of machine learning and AI in materials data analytics and the benefits of a unified data platform for materials innovation.
Kindly brief us about yourself and your role as the Vice President, Materials Science Solutions at Enthought.
I am a lover of science and technology. I spent some time studying physics and mathematics in school, not quite sure what I wanted to do, before I eventually decided to pursue a PhD in physics at Michigan State University. That’s where I started using Python as part of a grant that was focused on creating data analysis tools for studying materials. It was that experience that really cemented my passion to make an impact by creating software.
I’ve been in industry for about 16 years, and started as a developer at Enthought in 2011. I transitioned to serving as a consultant and now currently lead Enthought’s Materials Science Solutions Group. As VP of the group, I oversee digital transformation solutions for specialty chemicals and semiconductor industries, as well as the development of novel technologies for materials data management and discovery.
Please share your source of inspiration for exploring various facets of technology.
I learned early in my academic career that I could get more done at the computer, and importantly, there were some things that could only be done by a computer. As I progressed through graduate school, I started writing applications for other scientists to use, which really intensified my desire to make an impact with my work.
Once scientists start using your software, you become their go-to resource in that science, which is very rewarding. This led me along a path where learning and creating became intertwined. That drive to learn and create is my inspiration. I think about advances in battery materials, for example, and I ask “What is driving improvements to storage capacity?,” “How do they measure that?,” “Can it be automated?,” “What if we could predict X?” Scientific curiosity inevitably leads to technology questions.