Associate Professor Shuai Li’ research uses studies of families with or without genetic data to answer questions such as why certain cancers, such as breast cancer, run in families, what factors increase the risk of getting cancer, and how to more accurately predict a person’s risk of developing cancers based on their risk factors and their relatives’ cancer diagnoses. As a medically trained epidemiologist with strong expertise in data science, he has developed well-recognised methodologies, presented new areas of work and provided strong clinical evidence for these questions.
2024
Medicine, Genetics, Cancer, Early Intervention, Early Detection