Understanding uncertainty and the value of visualisation in AI

Maths PhD student, Alex Terenin, recently presented his group's work at the 2021 International Conference of Artificial Intelligence and Statistics. AISTATS is a prestigious event that brings together researchers from the machine learning and statistics communities. One of the group's papers, Matérn Gaussian Processes on Graphs, won the Best Student Paper award at the event – congratulations! We caught up with Alex to find out more about his experience at the conference and as a PhD student at Imperial, why he's fascinated with research into uncertainty, and to get his thoughts on why the visual aspect of machine learning is vital. My research focuses on artificial intelligence, particularly on learning-based decision-making systems.