Jacek Wiland is a researcher who worked at SCIoI on Project A02, “Neural Representations for Lifelong Learning.” Before joining SCIoI he completed his master’s degree in Statistics at Humboldt Universität in Berlin with specializations in Statistical Inference and Data Science. For his thesis, he examined how factual knowledge encoded in Large Language Models (LLMs) evolves in sequential learning. He is particularly interested in Natural Language Processing (NLP), lifelong learning, multimodal deep learning, and conversational agents.