data science

Advancing Disease Treatment through Integrative Data Science

Through the work of the Integrative Data Science Lab (IDSL), we are pioneering new ways to rapidly improve disease treatment and drug discovery using integrative knowledge graphs and advanced machine learning approaches to profile and predict the biological effects of potential new drugs.

Emergency Technologies & Digital Resilience

In the Crisis Technologies Innovation Lab, we are researching the design and use of technology in a way that promotes Digitial Resilience, that is private, secure, robust and reliable even in adverse or threatening environments. This brings together maker culture, data science, cybersecurity, privacy and human computer interaction research.

DSCI D590 Data Science in Practice

DS590 Data Science in Practice is a graduate course designed to help students gain critical, practical skills in applying data science to real world problems. Students will work in teams of 3-5 to tackle a real-world problem defined by a project sponsor. Project sponsors can be academics or industry practitioners. Students work with the project sponsor to understand the problem domain, identify where their data science skills can be applied, and to design, implement and test a solution.

How knowledge graphs will transform drug discovery

What if we could bring all the knowledge, data, insight, and prior decision-making of drug discovery together and use it to accelerate the discovery of new drugs? What if we could encode the millions of known relationships between potential new (or old) drugs, protein targets, genomics, biological processes, and disease mechanisms, and then use all this together to get new insights into disease and treatments?