Sarah Schröder

Sarah Schröder is a researcher in the Faculty of Engineering at Universität Bielefeld, affiliated with the Machine Learning Group and the Center for Cognitive Interaction Technology (CITEC). Her research focuses on machine learning, bias detection in language models, and transformer optimization.

• Contact: Office CITEC 2-108, Phone: +49 521 106-12681

Research Interests: She investigates intrinsic bias measures in word embeddings, fairness evaluation with biased datasets, and optimization techniques for neural architectures. Her work spans Computer Science, Natural Language Processing, and Ethics in AI.

Scientific Contributions: Recent publications include advancements in semantic bias metrics (SAME score), debiasing strategies for sentence embeddings, and catastrophic forgetting mitigation in transformers.