Image Analysis and Data Science

Director: Nathan Doble, PhD

Co-director: Srini Parthasarathy, PhD


The Image Analysis and Data Science (IADS) Core was established in response to investigators' needs for image processing and analysis expertise, modeling, mining data from health records, and pattern recognition of imaging data.


Please cite P30EY032857 in all publications that make use of the Ohio State University Vision Science Research Core Program (OSU-VSRCP). Services are performed at the OSU Vision Sciences Research Core Program under P30EY032857. Services are performed at the OSU Vision Sciences Research Core Program under P30EY032857. Services include technician time and training time.



Artificial intelligence and machine learning

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Artificial intelligence and machine learning are making important advances in many fields of study. The Image Analysis and Data Science core will provide expertise in machine learning and deep learning. This includes analyzing data from in-vivo ocular imaging, vision testing, ex-vivo tissue analysis through to combining datasets with electronic health records (EHR). 

“The data science field, or ‘big data,’ requires a combination of certain skill sets and knowledge that blend clinical acumen, computer science, health sciences, social scientists, economics and public health,” Dr. Moroi says.

College of Optometry faculty Nathan Doble, PhD, and College of Engineering faculty Srinivasan Parthasarathy, PhD, will combine their expertise in imaging and computer science to provide investigators data science analytic capabilities. The team also will leverage access to the Translational Data Analytics Institute,  the Center for the Advancement of Team Science, Analytics and Systems Thinking in Health Services and Implementation Science Research, and the Ohio Supercomputer Center (OSC).

“Beyond providing data science services to investigators, we have the long-term ambition to create high-quality and robust data commons so that other scientists can apply innovative analytical methods on the dataset,” Dr. Moroi says. “Our aspiration is to develop a common data architecture for our vision research community and be able to share it outside of Ohio State.”

Interested PIs should contact Nathan Doble, PhDor Srini Pathasarathy, PhD directly to schedule an initial consultation. 

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