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Adam Dahlgren Lindström is a Postdoctoral Fellow at Umeå University, focusing on multimodal machine learning and the responsible use of artificial intelligence. His research interests revolve around the challenges of combining multiple modalities, including images and text, with a specific emphasis on machine learning and language understanding. Adam's current work involves probing semantic language representations to understand concepts and their capture mechanisms. He is actively benchmarking multimodal models and exploring reasoning ontological knowledge and hybrid human-AI collaboration methodologies. As a member of the Foundations Language Processing Group, he has previously taught various courses, including introductory programming with Python, data structures, AI, machine learning, advanced distributed systems, and operating systems. Adam is also interested in supervising Bachelor and Master's thesis students, especially on topics related to his research.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.