I love to learn. I completed a double bachelor in maths, physics and computer science, as well an honours degree in computer science at La Trobe University. After my honours and before my PhD, I have worked on various projects with little connecting them, only that they utilised deep learning in some way. Generally, though, I used natural images taken at ground level. I have since learned much about the unique challenges presented by satellite images.
I want to help. Crop breeders run large trials to find more resilient and fruitful breeds of our staple crops. But measuring all of the plots in these large trials is expensive and error-prone. So, in my PhD, I am working towards a future where satellite images and deep learning will be used to cheaply measure plants from space. This will help ensure global food security by identifying breeds with better performance across diverse environments.
I am pragmatic. My main skillset is for using deep learning on images, but this does not tie me to any particular field. I enjoy working on any kind of problem. So long as I am learning and helping, I am satisfied.
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