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Jakob Grøhn Damgaard is a PhD student affiliated with the PSYCOP group at Aarhus University. His research focuses on developing machine learning tools for patients with mental illness in the Central Denmark Region. His primary interests lie in Natural Language Processing and data embedding visualization. He is currently working on projects aimed at predicting patients' risk of involuntary admission and facilitating early identification for improved preventative treatment. Looking ahead, he is also focused on a project involving the auto-generation of hospital discharge summary drafts using Large Language Models (LLMs). Additionally, he plans to conduct simulations to assess the cost-effectiveness of the developed prediction models, exploring potential decision support tools for clinical settings. His role includes development of a shared codebase, project coding, preparation of research articles, and planning and conducting workshops.
Aarhus University • Aarhus, Denmark
Part of the PSYCOP group working on developing research machine learning tools and projects related to patient mental health.
Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.