Yennie is an AI researcher and machine learning engineer who has worked across a variety of domains and disciplines. She is interested in applied, multidisciplinary work, which can be seen in her past experiences (machine learning at a healthcare startup, public health research with the United Nations, digital history research with Seoul National University, and education technology software at Microsoft). She cares deeply about researching and probing new AI technologies (such as LLMs and text-to-image models) for potential harm to users, whether it be perpetuating negative stereotypes or surfacing biases in different languages. She has worked with the University of Oxford, OpenAI, and (currently) Google on related research, and continues to do conduct independent experiments on her personal blog at artfish.ai.
