Siamak Yousefi received his Ph.D. in Electrical Engineering from the University of Texas at Dallas in 2012 where he conducted research on biomedical pattern recognition, machine learning, and medical image processing in the Signal and Image Processing (SIP) Laboratory. He was trained as a postdoctoral fellow at the Neural Signal Processing (NSP) Laboratory at the University of California Los Angeles (UCLA) from 2012 to 2013 working on Brain Computer Interface (BCI) and retinotopic mapping. He completed another postdoctoral training at the University of California San Diego (UCSD), Shiley Eye Institute, working on computational ophthalmology and retinal data mining and machine learning from 2013 to 2014. He was a research scientist at the same institute from 2014 to 2016. He also was an Adjunct Professor at San Diego State University (SDSU) from 2014 to 2017. Siamak was a Visiting Assistant Professor at the University of Tokyo, Department of Creative Informatics and Department of Ophthalmology in 2017.
His research areas include retinal data mining and machine learning and biomedical image analysis. He is on the editorial board of EC Ophthalmology, a senior member of the Institute of Electrical and Electronics Engineers (IEEE), and a member of the Association for Research in Vision and Ophthalmology (ARVO).