Addressing societal issues with AI and machine learning.

Dr. Yuliya Shapovalova
I want to show that AI and machine learning exist not only in the digital world; they can have tangible impact on our society.
Name
Yuliya Shapovalova
Programme
Computing Science
Current role
Assistant professor - Data Science

Yuliya Shapovalova is a researcher and university lecturer in Data Science. In her work, she collaborates with Alliander to detect unusual spikes in electricity grid data. Machine learning and AI assist in finding solutions for this.

"I want to show that AI and machine learning exist not only in the digital world; they can have tangible impact on our society," says Yuliya Shapovalova, a researcher in Data Science. In this video, she explains how she uses her algorithms to solve a wide range of issues, from fundamental science to urgent societal challenges such as the energy transition in the Netherlands. She plays a role in the long-term strategic partnership between Radboud University and Alliander.

Additionally, she contributes to the MKB Data Lab, where together with students, she assists local SMEs in finding machine learning solutions for their problems.