Siamak Yousefi is Assistant Professor at the Department of Ophthalmology and the Department of Genetics, Genomics, and Informatics of the University of Tennessee Health Science Center (UTHSC) in Memphis. He received his PhD in Electrical Engineering from the University of Texas at Dallas in 2012 and completed two postdoctoral trainings at the University of California Los Angeles (UCLA) working on Brain Computer Interface (BCI) and University of California San Diego (UCSD) working on computational ophthalmology. He is the director of the Data Mining and Machine Learning (DM2L) laboratory at UTHSC.

He has published over 70 peer-reviewed articles, mostly in broad applications of Artificial Intelligence (AI) in eye and vision. He has been an invited guest speaker, moderator, and co-organizer of numerous ophthalmology venues including Association for Research in Vision and Ophthalmology (ARVO), The Glaucoma Foundation, Asia-Pacific Glaucoma Congress (APGC), International Society for Eye Research (ISER), and American Academy of Optometry, New York University Langone Medical Center, and University of Colorado School of Medicine. He has been a study section member of several National Institute of Health (NIH) panels and is on the editorial board of the Translational Vision Science and Technology (TVST) journal. Since 2018, he has received over $3.5M funding support from NIH and other foundations to address vision-related challenges based on AI.

His lab develops deep learning, manifold learning, conventional machine learning, unsupervised machine learning, and statistical approaches to address vision problems from clinical parameters, imaging, visual field, and genetic data.