University of Rochester Institute for Data Science


The Institute for Data Science will build on the University’s strengths, many of which are currently dispersed across many departments and divisions. While there are collaborations among research groups, there has not been an umbrella organization to bring them together—until now.

Three domains of initial data science research focus have been identified:

Predictive Health Analytics

Using data to predict individual health outcomes (also known as health analytics) based on the basis of treatments, genomics, and lifestyle and behavioral factors may lead to some of the biggest advances in health care. The University is already a leader in tracking and developing methods to control the spread of infectious diseases and is home to a world center for the collection and analysis of cardiac data.

Le Wang

“Right now, I’m helping to develop novel video technology that records a person’s respiratory and heart rates. I am applying my engineering knowledge to a biological problem in order to address real human health issues like cardiovascular disease.”

Le Wang ’14
biomedical engineering major

Cognitive Science and Artificial Intelligence

Home of internationally recognized research in cognitive science and artificial intelligence, Rochester is uniquely positioned to advance our understanding of how the brain makes sense of the world. Modeling and replicating human perception is one of the most ambitious and exciting domains in data science and Big Data.

Junhuon Zho

“I’m interested in computer vision work and how it can be useful to society. We are using this technology to record and automatically grade cataract surgeries. In the future, we see this being used to train residents across a variety of surgeries and specialties.”

Junhuan Zhu, first-year doctoral student in computer science

Analytics on Demand

Analyzing large-scale data requires the appropriate tools—a challenge that some of the institute’s faculty members will address. The ultimate goal is to relieve the end user from the need to understand details of a platform in order to have the computer system determine the optimal use of resources.

Emily Eisenberg

“With technology changing so rapidly, success will hinge on being able to adapt and learn new things quickly. Rochester has taught me how to do this. It has given me fundamental skills that I can draw on for years to come.”

Emily Eisenberg '14
computer science and mathematics major

Core Competencies and Capabilities

By creating the Institute for Data Science, multiple centers of excellence and programs—including those that exist now as well as those that are planned—can coalesce.

Researchers from diverse areas will work together to harness the potential of data and advance knowledge and discovery in their fields. The following centers are closely aligned with the Institute for Data Science:

Center for Biomedical Informatics (CBI)

Center for Integrated Research Computing (CIRC)

Center for Energy and the Environment (CEE)

Health Science Center for Computational Innovation (HSCCI)

Rochester Center for Health Informatics (RCHI)

Clinical and Translational Science Institute (CTSI)

Learn more about the Rochester Center of Excellence in Data Science