When properly leveraged, data can serve as a powerful change agent. For communities. Entire industries. Even countries.
In the Data Science Program, we partner with organizations and interdisciplinary researchers from around the world to examine how data is currently being used—and, more importantly, how it can be used—to lead to effective, accurate, and transformative decision-making.
From biomedicine and astronomy to environmental policy, business development, and everything in between, there isn’t an industry that our students and faculty aren’t examining through the lens of data science.
Our approach to research is dynamic. Visit one of our labs or lectures, and you’ll likely see us using a range of best-in-class data science tools, tactics, and methodologies.
These include:
It’s impressive to realize how quickly data visualization is evolving and expanding, and getting to see how the whole process works is extremely useful.
Esmé Middaugh, M.S. in Data Science—Residential
Advances cloud computing and network science, with a focus on developing human-centered interfaces to cyberinfrastructure.
Focuses on algorithm development for machine learning, including theoretical foundations and large-scale applications.
To work with a faculty member on their research, or to complete an independent study with a particular faculty member, we encourage you to contact that faculty member directly.
If you have additional questions about research at data science, you can contact Haixu Tang, director of the data science graduate program.
