Research philosophy and interests
I recognise that interdisciplinary research offers greater opportunities for scientific and technological breakthroughs since the world is diverse and statistics/biostatistics alone can not address all problems in isolation.
My research interest lies in the intersection of machine learning and statistics. My general focus is to apply machine learning techniques to improve traditional statistical methodologies/overcome the existing bottleneck of statistical procedures and introduce statistical ideas in machine learning.
Currently, I'm interested in the intersection of biostatistics and medical imaging data analysis, as well as protect patients privacy, the techniques that I will use includes but not limited to transfer learning, federated learning, large language models, machine learning/deep learning, survival analysis, and change point detection.