It’s International Day of Women and Girls in Science so we wanted to spotlight one of our pioneering women leading innovation and helping us pave the way – Emma Hemus, our machine learning engineer.

Emma focuses on using deep learning to automate wind turbine inspections.

“Part of my role involves researching and implementing state-of-the-art object detection techniques to improve our image recognition capabilities, and establishing metrics to track their performance. I also help to manage our data processing platform that generates analytics and reports for customers. I enjoy my job because I am passionate about the renewable energy sector, and each day I get to apply my skills and contribute to a constantly growing and evolving industry.”