Data Science Research
Work in data science continues to grow as a high-priority area in all of the University’s colleges and schools. Featured here are case studies that provide just a sample of data science research being done here. This research spans the University’s three initial domains of focus in predictive health analytics, cognitive systems and artificial intelligence, and analytics on demand.
The researchers profiled here represent a broad spectrum of traditional disciplines. In addition, Brendan Mort of the Center for Integrated Research Computing (CIRC) describes the center’s state-of-the-art, high-performance computing facilities and consulting services.
Jenn Brisson, [biology] uses data science to generate and test hypotheses to make the best choices for integrating, analyzing, storing, and archiving her research.
Jessica Cantlon, [brain and cognitive sciences] is focused on finding the building blocks of cognition, providing insights into human mathematical capabilities and reasoning.
Sandhya Dwarkadas, [computer science] works at the interface of hardware and software. One focus of her research is scalable support for parallelism.
Cindy Ebinger, [earth and environmental sciences] uses data science to study the active movement of global tectonic plates and the processes that reshape Earth.
Daniel Gildea, [computer science] develops systems that translate between human languages by training on huge corpora of parallel texts.
Robert Jacobs, [brain and cognitive sciences] is using experimental and computational methods to study human perception, learning, memory, and decision making.
Henry Kautz, [computer science] is data mining social media such as Twitter in order to identify global disease outbreaks in their earliest stages and track their spread.
Jiebo Luo, [computer science] works on image understanding, developing systems that can automatically label images, videos, and other kinds of multimedia.
Rajeev Raizada, [brain and cognitive sciences] uses pattern-based fMRI analysis in order to understand the way the brain encodes and processes information.
Huaxia Rui, [Simon School of Business] focuses on how business can make use of data from social media sites such as Twitter and Facebook to improve decision-making.
Vincent Silenzio, [psychiatry] explores the use of online social networks to gather data from people such as at-risk youth who are otherwise difficult to identify or survey.
Robert Strawderman, [biostatistics and computational biology] studies the growing research in large-scale medical statistics and our approach to personalized health care.
Axel Wismueller, [imaging sciences and biomedical engineering] develops computational visualization methods for the analysis of high-dimensional data.