Jenny Chim

Jenny Chim is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on Natural Language Processing (NLP), Multilingual Language Models, and their applications in mental health analysis, biomedical informatics, and social media data. She contributes to large-scale projects like the BigScience initiative, developing open-access multilingual models and evaluating synthetic data generation techniques.

Her work spans cross-cultural linguistic challenges, clinical insights from social media timelines, and benchmarking code generation systems. Key contributions include the BigScience ROOTS Corpus and the Bloom model, emphasizing ethical AI and global accessibility. She actively organizes shared tasks like clpsych to advance clinical NLP applications, particularly in identifying mental health risks through user-generated content.

Research interests also include hierarchical VAE integration with LLMs for clinical timeline summarization, contamination detection in shared tasks, and frameworks for biomedical NLP like BigBio. Her work bridges technical innovation with real-world healthcare applications, advocating for culturally inclusive AI systems.