Cornelia Paulik

Assistant Professor of Practice

Focus

My research focuses on health applications of AIML, leveraging foundational models in natural language processing and computer vision. I work on early disease detection, medical image analysis, and climate-informed health forecasting, with an emphasis on building models that prioritize fairness and safety. I also teach Applied ML and Generative AI to Master’s students in the School of Information.