My research passion lies at the intersection of machine learning, deep learning, bioinformatics, survival analysis, and causal inference, all within the context of healthcare applications. Currently, I'm particularly interested in the theoretical optimization of survival analysis. I also work on building effective and interpretable survival models (individual survival distributions) for identifying actionable factors of breast cancer, which is part of an ongoing collaboration with Alberta's Tomorrow Project.