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Discovering the causes of cancer and the means of prevention

Data Science & Engineering Research Group

Data Science & Engineering Research Group

Jonas Almeida, Ph.D. - Chief and senior investigator

Daniel Russ, Ph.D. - Staff Scientist

Jeya Balasubramanian, Ph.D. - Postdoctoral Fellow

We are hiring! Check out our research training opportunities.

The DCEG Data Science & Engineering Research Group seeks to advance research and infrastructure for data-intensive precision prevention studies. The primary goals of the Group are to:

  • Accelerate the investigation of the causes of cancer
  • Advance cloud computing infrastructure for precision prevention
  • Develop transdisciplinary human capital through weekly Cloud4Bio Hackathons at the NCI Shady Grove campus

Research Areas and Topics of Interest

EpiSphere is an online environment for web-based tools to operate in the Cancer Epidemiology Commons.

FeatureScape is an interactive representation and analysis of feature landscapes.

Serverless OpenHealth
Serverless OpenHealth supports large-scale interactive data access and analysis entirely through the web computing environment.
Serverless OpenHealth (PubMed abstract)
See a live demo of Serverless OpenHealth

The Connect for Cancer Prevention Study
The Connect study is a "next-generation" cohort study based in integrated healthcare systems. The goal is to enroll 200,000 adults in the United States to further investigate the etiology of cancer and its outcomes, which may inform new approaches in precision prevention and early detection.

The Confluence Project
The Confluence Project is a research resource currently under development, designed to uncover breast cancer genetics through genome-wide association studies (GWAS). The study will include at least 300,000 breast cancer cases.