Anika Merklein

Anika Merklein is a computer scientist with a background in social work, currently pursuing her master’s degree in computer science with a focus on machine learning at TU Berlin. Previously, she worked as a research software developer at the Max Planck Institute for the History of Science in Berlin, where she developed digital methods for historical science, focusing on machine learning for the humanities, research data management, and semantic modeling. Her current research focuses on unsupervised methods to analyze stylistic elements in early modern book illustrations, employing Vision Transformers and Explainable AI techniques to gain insights from low-resource data contexts.
In addition, she teaches at the University of Applied Sciences on topics related to social power relations and computer technology. She is particularly interested in how social norms and ideas influence the research and development of technology.