I’m a PhD student in Artificial Intelligence. My research focuses on making deep learning models more trustworthy and reliable. I want to ensure that the models I train solve the actual problem, not just find shortcuts in the data. To achieve this, I explore different approaches, such as designing neural networks that are easier to interpret, measuring how certain models are in their predictions, and using special layers to guide the model’s output.