Machine Learning for Biomedicine

Our research focuses on developing machine learning methods for real-world settings that drive new frontier of biomedical research. We gain new insights from challenging problems in biomedicine and solve them by developing widely applicable machine learning approaches that introduce new settings and innovative solutions in machine learning research. We design machine learning methods that have the ability to generalize to novel scenarios that have not been seen during model training and apply them to drive new discoveries from complex, heterogeneous and high-dimensional biomedical datasets.