Data really powers everything that we do. Research activities in the data science area are concerned with the development of machine learning and computational statistical methods, their theoretical ...

Computational statistics harnesses the power of sophisticated numerical algorithms and high‐performance computing to solve complex inferential problems that are intractable by traditional analytical ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

This course covers the ideas underlying statistical modelling in science through the lens of causal thinking. We cover the implementation of these ideas through Bayesian computational methods and ...

Precision oncology therapies, which target specific abnormalities in a patient’s cancer, are changing the nature of cancer treatment by enabling clinicians to select therapies that are most likely to ...

Quantitative and Computational Finance (QCF) merges mathematical modeling, statistics, and algorithms to analyze financial markets and manage risks, with strong demand for skilled professionals in ...