Guillaume Jouvet is a glaciologist, applied mathematician and Professor at the University of Lausanne (UNIL), Switzerland. His research focuses on glacier ice flow modelling and the use of deep learning and computational methods to simulate and project glacier evolution, and his team develops a open-source, community-driven machine-learning-based glacier model. He has led and participated in fieldwork campaigns in Greenland and the Alps, where he has specialised in developing drone-based remote sensing methods for glacier monitoring in extreme environments. Alongside his research, Guillaume is actively engaged in science outreach, communicating how glaciers have shaped the Swiss landscape and how this landscape is set to undergo profound change under climate warming.



