Data-driven innovations for patients

Translational Data Science Integrated Research Center

Data-driven innovations for patients

Hadland lab data

Bench work and data capture in the Hadland Lab

Photo by Robert Hood / Fred Hutch News Service

Recent advances in statistics and computational techniques as well as experimental technologies are transforming how we generate and analyze data. This big data has big potential. But that potential can only be fully realized through collaboration between researchers with complementary skill sets.

The Translational Data Science IRC harnesses these advances and expertise — and spurs future innovation — to open up new avenues for preventing and treating cancer and related diseases. Under the leadership of Dr. Raphael Gottardo, the TDS IRC builds on recent data-based advances in biomedical sciences. These include technologies that are driving the generation of massive datasets, the exponential growth of publicly available data, and revolutionary approaches in statistics, machine learning and artificial intelligence that are changing data analysis. Researchers in the TDS IRC develop statistical methods and computational tools for managing and analyzing high throughput, high dimensional data and many labs work closely with translational researchers to solve problems that will benefit our patients now and in the future.

Team Data Science

The goal of the TDS IRC is to infuse data science throughout the bench-to-bedside discovery cycle, and fuel new research opportunities, by fostering increased interaction between the Hutch’s experimental and clinical researchers and their quantitative and computational science colleagues. To this end, the TDS IRC works with groups such as:

Cascadia Data Alliance
Hutch Data Commonwealth
The Allen Institute
The Hutch's Immunotherapy Integrated Research Center (IIRC)
The Hutch's Pathogen-Associated Malignancies Integrated Research Center (PAM IRC)