Emily Norton

Emily is a third year Ph.D. candidate in Biostatistics. Her research focuses on building better risk prediction models that may ultimately inform clinical decision-making to promote precision prevention equitably across diverse populations. She currently works on building and validating cancer risk prediction models using very large and diverse datasets in order to combine classical risk factors (e.g. age, sex, lifestyle, environment, etc.) and polygenic risk scores into a single model. To support this work, she will also validate new and existing transfer learning techniques - methods that are applied when large data gaps exist - to facilitate combining information across many different data sources. Outside of research, Emily enjoys swing dancing, camping, and crafting.