At CCRi, we apply numerous machine learning techniques to textual, spatial, and numeric data sets to answer key questions posed by our clients. We then implement these solutions into software systems with a strong focus on scalability, usability, and data visualization. We typically follow a three-phase process that encourages the critical early feedback that ensures our software meets user requirements.
Our first objective is to spin up quickly, mastering the relevant domain knowledge, determining the metrics, and articulating the problem in ways that are amenable to solution. Our clients will typically experience a prototype of a tool we developed using a small sample of client data, which we then use to begin an in-depth discussion of the solution that will best fit their needs. We take the time to interview and observe our clients so that we can model their own procedures, while ensuring that our vision of the problem is broad enough to encompass all the issues involved.
We cultivate extensive connections with researchers and professional societies to ensure we bring to our work the latest techniques and insights. We carry this knowledge into our second phase, where we do not simply find the most appropriate approach for each project; rather, we roll out a powerful, insightful solution that exceeds traditional methods and expectations.
Following successful delivery of a solution, CCRi will offer continued support and expertise to ensure client success.
CCRi offers an engaging and supportive environment, with a culture of continual learning and creative problem solving. Meet a few people and hear about CCRi in our highlights reel. Or checkout the full script version!
Donald Brown, CCRi President
In addition to being President of CCRi, Donald Brown is the William Stansfield Calcott Professor of Engineering and Applied Science and director of the Applied Predictive Technology Laboratory at the University of Virginia. His research focuses on predictive modeling, statistical learning, and data fusion with applications to security and safety.
Drawing from his extensive expertise, Dr. Brown has been a principal or co-principal investigator for over 80 research contracts with federal, state, and private organizations. He has published over 100 research papers and two edited books on data fusion and statistical learning.
Dr. Brown is a fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the National Institute for Aerospace, and is the recipient of many awards. The Governor of Virginia presented him with the Governor’s Technology Award for enabling rapid crime analysis by local law enforcement agencies. From the IEEE, Dr. Brown received the Joseph Wohl Career Achievement Award for his work in systems engineering and data fusion; the Norbert Wiener Award for Outstanding Research in systems engineering, data fusion, and information analysis; the Intelligence and Security Informatics Award for outstanding research in information for security, law enforcement, and intelligence; the Outstanding Contribution Award; and the Millennium Medal.
Dr. Brown has served on the National Research Council (NRC) Committee on Transportation Security as well as its Committee on Surface Transportation Infrastructure Security. He was also a member of the National Academy of Sciences panel on High Performance Computing and Crisis Management.