I am an AI researcher specializing in uncertainty and explainability in deep learning, with a focus on mitigating biases in latent representations (embeddings), particularly for recommender systems. My goal is to advance trustworthy models that enable practical solutions to real-world problems. I have experience as a data scientist and an educator in mathematics and AI-related topics, including machine learning, explainable AI, and modern recommender systems.