Muhammad Ammad-ud-din

I am a fourth year doctoral student in the Probabilistic Machine Learning group. My research interests span probabilistic machine learning and its applications to high-dimensional data integration in cancer. Specifically, my doctoral thesis aims to develop probabilistic multi-source machine learning methods for predicting drug responses in cancer cells. Such predictions are valuable in personalised medicine to generate hypotheses for selecting therapies tailored to individual cancer patients.