The Clinical Data Science Institute

The institute is focussed on the leveraging the proliferation of large data sets and new developments in artificial intelligence to enhance the state of the art in patient care. 

We work at the intersection of mathematics, computer science, artificial intelligence, and clinical ophthalmology. We aim to leverage mathematical, statistical, and artificial intelligence modeling to enhance our knowledge and understanding of eye diseases and ultimately improve clinical treatment through our passionate research. We integrate imaging and clinical data to understand disease root causes, improve early diagnosis capabilities, identify potential interventions to narrow disparities, conserve resources, compare treatments and improve outcomes.

The Research

The Mass Eye and Ear Clinical Data Science Institute is comprised of several labs and faculty, each coming from a different background but with a shared goal to leverage Data Science to improve the state of the art in ophthalmology and improve outcomes.

Read more about research of the participating labs; The Harvard Retinal Imaging Lab, The Sobrin Lab, The Ophthalmology Clinical Data Science Research Group, and The Harvard Ophthalmology AI Lab here:

Dr. Alice C. Lorch

Director, Harvard Ophthalmology Residency Training Program
Vice Chair for Education, Harvard Ophthalmology
Associate Chief Medical Officer and VP of Medical Affairs
Massachusetts General Hospital and Mass Eye and Ear
Assistant Professor of Ophthalmology
Harvard Medical School
Co-PI, Intelligent Research in Sight Registry

Dr. David Steven Friedman

Professor of Ophthalmology, Harvard Medical School
Co-Director, Glaucoma Center of Excellence, Massachusetts Eye and Ear
Director, Glaucoma Service, Massachusetts Eye and Ear
Albert and Diane Kaneb Chair in Ophthalmology, Massachusetts Eye and Ear
Medical Director for Clinical Research, Massachusetts Eye and Ear

Dr. Elizabeth Rossin

Assistant Professor of Ophthalmology
Co-director of Harvard Vitrectomy Course