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Dr. Mohammad Eslami is a skilled instructor at Harvard Medical School, bringing his expertise in programming, mathematics, AI, and machine vision to the Harvard Ophthalmology AI Lab. His impressive track record of high-impact publications and code repositories in machine learning for health showcases his ability to apply cutting-edge technology to address critical healthcare challenges. Dr. Eslami’s research interests span multidisciplinary medical projects involving omics and medical image/data processing, particularly in the areas of cerebral aneurysm detection, chest X-ray image analysis, MRI vocal tract segmentation, Alzheimer’s disease diagnosis, low-dose CT image enhancement, multitasking in MRI neuroimaging analysis, visual field prediction, and ocular disease investigation. He is committed to open-source contributions, making his research, models, and coding libraries freely available to accelerate progress in data-related health science. His expertise has also made him a sought-after reviewer for top machine learning for health journals and conferences.