Ali Gooya received the MSc degree in electrical engineering from Tehran University and the PhD degree in information science from the University of Tokyo (Monbusho scholarship), where he was awarded a post-doctoral fellowship by Japan Society of Promotion of Science (2008). He then moved to the University of Pennsylvania, Philadelphia, and worked on tumour image segmentation/registration till 2011. Subsequently, he served as an assistant professor with Tarbiat Modares University, Tehran. In 2014, he was awarded an IIF Marie-Curie Fellowship for statistical modeling of morphology and function from population in University of Sheffield, where he recently works as a lecturer in medical image computing in the Department of EEE. His research interests include probabilistic machine learning, variational Bayesian inference, and graphical models. He is a member of the IEEE.