Prof. Mihaela van der Schaar
· Prof. Mihaela van der Schaar - Resume [Link]
· Short Biography
Mihaela Van der Schaar's current research interest is on machine learning, AI and data science for medicine.
She has helped to pioneer new machine learning and data science theory and methods for clinical risk prediction (including competing risks),
predictions of disease trajectories based on repeated measures, causal inference and individualized treatment effects, data imputation methods (including for longitudinal data and data that is informatively missing), operation research methods for developing personalized screening policies,
and new methods for making machine learning predictions interpretable. These methods have been successfully applied for risk prediction and management
of many diseases (including cardiovascular diseases, heart transplantation, cancer, cystic fibrosis, asthma). She is also developing machine learning and
data science methods to enable personalized education of students and professionals.
·Mihaela's Google Scholar's website