Understanding and Predicting the Risk of Bleeding Disorders

Bleeding disorders such as von Willebrand disease and hemophilia are conditions that occur when the blood cannot clot properly. The main objective of this project is threefold: 1) to apply novel machine learning methods to help understand and predict the risk of bleeding disorders 2) to apply novel causal inference methods to evaluate the effect of clinical interventions on the risk of bleeding disorders, and 3) to learn if individualized treatment regimes are effective for personalized decision-making. This project is in collaboration with Dr. Roger Vaughan.

Ongoing project - working manuscripts.