Edward Moroshko

Edward is a Post-doctoral Research Associate at The University of Edinburgh. He currently works with Prof. Sotirios Tsaftaris and Prof. Javier Escudero Rodriguez on the EPIC project (Enabling the early and equitable diagnosis of epilepsy in infants in the community). On EPIC, he develops causal AI methods to identify and correct biases in healthcare data, building fair and personalised models for the early diagnosis of infantile spasms from patient characteristics and EEG measures. Before joining EPIC, he worked with Prof. Tsaftaris on artificial intelligence for resilient energy systems.

He holds a PhD in Electrical and Computer Engineering from the Technion, Israel, supervised by Prof. Daniel Soudry and Prof. Koby Crammer. His research was focused on theoretical aspects of deep neural networks. He did an internship at IBM Research and worked for several companies including Qualcomm and Nethermind. His research interests span machine learning and causality, with applications to real-world problems.