Nambi Nallasamy
Assistant Professor
Medicine
AB Computer Science and Mathematics, Harvard University
MD Harvard-MIT Division of Health Sciences and Technology
Ophthalmology Residency, Duke Eye Center
Cornea, External Disease, Refractive Surgery Fellowship, Bascom Palmer Eye Institute
Prior to embarking on a career in medicine, Dr. Nallasamy completed a degree in computer science and mathematics at Harvard University. Dr. Nallasamy combines a busy clinical practice with research in applying machine learning to improve ophthalmic diagnostics and surgical treatment planning. He is actively involved in the clinical and surgical training of ophthalmology residents and cornea fellows, as well as the training of masters and PhD students in the University of Michigan Department of Computational Medicine and Bioinformatics.
Projects:
Automated diagnosis of ocular surface tumors, IOL power calculation, Video-based automated analysis of surgical quality
University Affiliation(s)
IHPI | MIDAS
Community and Professional Affiliation(s)
AAO | Cornea Society | EBAA
Research Area(s)
Artificial Intelligence | Clinical research | Computational Data Science | Health Analytics
Publications
- Ray tracing intraocular lens calculation performance improved by AI-powered postoperative lens position prediction
- Evaluation of the Nallasamy Formula: A Stacking Ensemble Machine Learning Method for Refraction Prediction in Cataract Surgery
- Rapid Automatic Keratocyte Analysis from In Vivo Confocal Microscopy of the Cornea
Grants
- Co-investigator of: Expanding and enhancing LASI-DAD for better understanding of AD and dementia
- Principal investigator of: Machine Learning Approach Leveraging Intraoperative and Postoperative Data to Improve Refractive Outcomes After Cataract Surgery
- Principal investigator of: Explainable AI for Improving Outcomes and Decreasing Adverse Events in Cataract Surgery