Nambi Nallasamyمشاهده پروفایل
استادیار
- Machine Learning
- Computer Vision
- Ophthalmology
- +۵ مورد دیگر
Nambi Nallasamy is an Assistant Professor at the University of Michigan, holding joint appointments in the Departments of Ophthalmology and Visual Sciences and Computational Medicine and Bioinformatics. His research focuses on the intersection of machine learning and ophthalmology, particularly in improving cataract surgery outcomes and analyzing surgical quality. His work applies methodologies such as computer vision, machine learning, and natural language processing to healthcare research, with a strong emphasis on clinical informatics and computer vision challenges in ophthalmology. He is actively involved in developing AI tools for surgical training and assessment, including systems like CatSkill and CatStep. Recent publications highlight his contributions to predictive modeling for intraocular lens (IOL) refraction, automated surgical phase classification, and understanding social risk factors in microbial keratitis. His research also extends to corneal transplantation techniques and the impact of steroid use on corneal opacity in veterinary ophthalmology. Nallasamy is a board-certified ophthalmologist and fellowship-trained cornea specialist, with clinical expertise in corneal and ocular surface diseases, including corneal transplantation (DSEK, DMEK, DALK, PKP), cataract and refractive surgery, and limbal stem cell deficiency treatments. He collaborates with multidisciplinary teams and researchers such as Shahzad Mian, Maria Woodward, and Binh Duong Giap, advancing AI applications in ophthalmology and surgical outcomes analysis. His work bridges computational methods with clinical practice to enhance diagnostic and surgical precision.






