Biomedical Data Science

Biomedical Data Science involves the analysis of large-scale biomedical datasets to understand how living systems function. Our academic and research programs in Biomedical Data Science focus on developing new data analysis technologies that allow us to understand disease mechanisms and pave the way for better, more affordable healthcare.

Research in Biomedical Data Science

Our students and faculty are pioneering new methods to analyze large-scale biomedical datasets, shedding new light on the function of living systems. Key research areas include:

Computational Science

We are working at the interface between computer science, mathematics, and biomedical engineering to advance computing technology to address broad questions in personalized medicine.

Machine Learning and Data Science

We are creating high-throughput software for extracting symbolic and ontologic information from massive datasets using machine learning.

Biomedical Data

We are integrating biomedical data with high-performance computing to analyze data using modern machine learning and artificial intelligence tools.

Science as a Service

We are delivering scientific solutions integrated in software by developing novel cloud-based technologies for sharing datasets and tools.

Biomedical Clouds

We are building key resources to improve the quality of healthcare delivery. For example, Computational Critical Care Medicine and PhysioCloud have become models for critical care units, and MRICloud provides a high-throughput magnetic resonance image analysis technology for integration into radiological workflows.