Skip to main content
Northwestern University Feinberg School of Medicine
Northwestern University
Clinical and Translational Sciences Institute
Skip to main content

Center for Biomedical Informatics & Data Science

At the Center for Biomedical Informatics & Data Science (CBIDS), we are working to advance the applications of data science and informatics toward improved biomedical research and healthcare at NUCATS and our clinical partners. Our vision is to create an integrated healthcare and research environment in which all available data are optimally leveraged for knowledge discovery and improved health. CBIDS spans two institutes at Northwestern, NUCATS and the Institute for Augmented Intelligence in Medicine (I.AIM).

CBIDS has been a major driver of NUCATS’ model of sustainable innovation, seeking out research barriers that can be overcome with informatics tools, developing new software and data platforms, testing usability and impact and then deploying these novel tools to the NUCATS community and to other institutions across the country. Visit the Resources section for a full overview of the services and software we offer.

Our understanding of how networks of genes interact to produce health or disease has been revolutionized in recent years due to advances in bioinformatics. Through projects like eMERGE, Northwestern is a national leader in Biomedical Data Science. Not only are we gaining knowledge about the fundamental mechanisms of disease, we also are applying that knowledge to the care of our patients.”

Justin Starren, MD, PhD, FACMI, chief of the Division of Health and Biomedical Informatics in the Department of Preventive Medicine and deputy director of NUCATS

About Data Science

 

The amount of data produced is exploding. It is estimated that 2.5 quintillion (1 followed by 18 zeros) bytes of data are created every day. The volume of data is growing so quickly that 90 percent of the world's data has been

3pillars-226x200.jpg

 produced in the past two years. This explosion of data is also occurring in all areas of biomedical research. A single human genome sequence contains roughly 6 billion base pairs. A single research study may require analyzing the genome sequences of tens of thousands of patients. Processing and managing these data are at the forefront of modern science, including the capture, curation, storage, searching, sharing, transferring and analysis of these huge data sets. New approaches will help to expand the impact of all of the informatics technologies on health and disease. 

Classically, scientific progress has been anchored on two pillars: Theory and Experimentation. Recently, the Big Data revolution has hit science as the sheer volume of scientific data increases exponentially. Advances in scientific computing technology, together with Big Data, have created a third pillar: Computation. Data Science brings together these three pillars to accelerate discoveries. Recently, the Harvard Business Review declared that the data scientist is the "sexiest job of the 21st century." This role brings together deep domain knowledge, a solid foundation in statistical and mathematical methods, advanced computation and visualization technology and a desire to tackle "wicked problems."

Education & Training

 

CBIDS offers formal coursework through a variety of degree programs at the master’s and PhD levels.

We also offer weekly Biomedical Informatics and Data Science (BIDS) Tuesdays seminars and we sponsor the annual Biomedical Data Science Day (coordinated by Nicholas Soulakis)

CBIDS offers introductory and training sessions for many of our developed and hosted software tools. Please see our calendar for upcoming training sessions. OpenHelix also provides a research portal to find the most relevant genomics resources and training on those resources. Through Galter Library, we provide access to a suite of bioinformatics tutorials.

Please see our calendar at the bottom of this page for all upcoming events and trainings. [need the CBIDS planit purple calendar linked]

Research Support

 

Dr. Firas Wehbe is the Feinberg Chief Research Information Officer and leads the Applied Research Informatics Group

Dr. Yuan Luo is the Chief Artificial Intelligence Officer and leads deep phenotyping support

Dr. Nicholas Soulakis is Director of Data Science Services and coordinates a variety of  educational and cloud services offering

Daniel Schneider leads the Northwestern Medicine Enterprise Data Warehouse Research Data Analytics team

Contact Us

 

For more information, contact manager Abby Cosentino-Boehm, DrPH, or director Justin Starren, MD, PhD, FACMI, at 312-503-2388.

Back to top

Participating Institutions: