Arrell Scholar, Engineering
Katya Kudashkina’s vision is to participate in a new future for agriculture that employs advanced data science to enhance crop yields and increase food production productivity for humankind. Katya studied engineering in Saint-Petersburg, Russia before completing a degree in computer science and a MBA at the University of Toronto. Katya is now focused on advancing her skills in the application of machine learning in agriculture by working on a project to develop a cost-effective, representative, and scalable method to remotely measure soil organic carbon levels using deep learning techniques. Katya works with Drs. Graham Taylor, Ralph Martin, Aaron Berg, Paul Voroney and Alan Ker.