Generate a tailored SOP for Dr. Moa Johansson. Improve your application with a focused, well-structured draft.
Moa Johansson is an Associate Professor specializing in Data Science and Artificial Intelligence at the University of Gothenburg. Her research interests include benchmarking debiasing methods, LLM-based parameter estimates, and reinforcement learning. She has contributed to various proceedings, including the 2025 Conference on Empirical Methods in Natural Language Processing and the Annual Meeting of the Cognitive Science Society. Additionally, she collaborates on projects focused on procedural abstractions and efficient communication within the realm of cognitive science. With a strong emphasis on empirical methods and algorithmic efficiency, Johansson's work aims to provide insights into complex learning systems and their implementation in real-world applications.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).