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

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 ...

Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...

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

Professor Ablowitz’s work centers around nonlinear waves, integrable systems, and physical applied mathematics — e.g., nonlinear optics and water waves and applications of complex analysis. Professor ...

As humans have developed cheaper and smaller sensors, web cameras and other data collection devices, the amount of data available to be analyzed and understood has exploded. Statistics is the ...

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 ...