Guillermo Villate-Castillo is a Junior Researcher in the eServices & Big Data area at TECNALIA and a PhD candidate in Computer Engineering at the University of Deusto, where he is developing his thesis on toxicity detection, bias, and uncertainty estimation in large language models. He holds a Double Bachelor’s Degree in Electronic Engineering and Computer Engineering, and a Master’s Degree in Intelligent Computing. He has contributed to publications in Neurocomputing and Sensors on toxic content moderation using multitask neural networks and conformal prediction, as well as on motion planning for industrial robots using classical methods and deep reinforcement learning. His research interests include safety and robustness in generative models, detection and mitigation of toxicity and bias in AI, uncertainty estimation, and applications of Generative AI in industrial environments.