Sara Selman

Sara Selman serves as an Instructor in the Department of Computer Science (DIKU) at the University of Copenhagen, affiliated with the Machine Learning research section. Her position places her within a department renowned for interdisciplinary AI research spanning theoretical foundations to real-world applications in healthcare, linguistics, and biological sciences.

Her research concentrates on Machine Learning with specialized focus on Natural Language Processing and Medical Image Analysis, leveraging computational techniques for biological data modeling and information retrieval systems. The Machine Learning section at DIKU actively bridges theoretical innovation with practical implementations across medical diagnostics and language technologies.

Based at Universitetsparken 1 in Copenhagen Ø, Dr. Selman contributes to DIKU's academic mission through teaching and research collaboration. Her work aligns with the department's strategic focus on human-centered AI applications, particularly in healthcare domains where machine learning transforms clinical data analysis.