Research
WPI Data Science researchers are exploring every aspect of this burgeoning field. Together, they innovate Data Science techniques and technologies, and their applications fuel breakthroughs that have direct, real-world impact. These state-of- the-art analytics tools allow users to explore data spurring advances in digital health, genetic analysis, educational software, financial trading, and more. Talented graduate students also have frequent opportunities for paid research positions, fellowships and industrial sponsorships. The students are privileged to participate in big data research projects and gain in-the- field experience, learning to turn raw data into actionable information.
Research Profiles
PARAS: Parameter Space-Based Association Rule Mining
The PARAS technology, released as freeware, takes the guesswork out of determining optimal parameter settings for data mining by enabling interactive rule exploration over big data sets using successive parameter settings in near real time.
Finding Patterns that Can Improve Sleep
Carolina Ruiz, Ph.D. develops algorithms related to sleep and lack of sleep that can optimally help us be more rested and refreshed.