Salma Kazemi Rashed received a B.Sc. degree in Electrical engineering, communications from the University of Tehran in 2014 and a M.Sc. degree in Telecommunications engineering in 2017 (also in Tehran). She then spent four years from 2014–2018 as a Research Assistant with a main research focus on interactive machine learning and distributed algorithms and their applications in cellular networks. Her interest in machine learning and its many applications in biomedicine prompted her to enter the field of bioinformatics. She received her second M.Sc. degree in bioinformatics from Lund University, Lund, Sweden, in 2019.
Salma is now a second-year PhD student in the Cell death, Lysosome and Artificial Intelligence group at the Department of Experimental Medical Science at Lund University. Her research focuses on deep learning applications in biomedical science with the main focus on lysosome-dependent cell death, environmental toxins and COVID19. She primarily works on computer vision for microscopy and histology images, natural language processing and genetic data analysis.