Jessica is studying part-time for a DPhil in Social Data Science. Her research seeks to reveal issues of bias in natural language processing (NLP) models and datasets and understand how these biases may harm communities. The thesis will involve a mixture of computational methods (to detect and conceptualize the biases present in modern NLP systems) and interviews with stakeholders (to understand the harms that these biases might present to minority and minoritized communities).
Alongside her research, she works full-time for Springer Nature doing data science. Before this, she worked as a data scientist across several industries and company sizes. She holds an MSc in Computer Science with a research line in Machine Learning and Natural Language Processing.
Artificial Intelligence; Machine Learning; Natural Language Processing; Distributional Semantics; Language Modeling; Representational Bias
