Tarek Iraki has a background in Informatics (with Diploma and Master of Science degrees). From 2009 - 2019 he worked in industry as a Professional Software Engineer, Software Architect and Requirements Engineer for Java Enterprise Applications and Data Science projects. After ten years in industry, he decided to continue his professional career in research. From 2019 - 2023 he did research at the Intelligent Systems Research Group and has been at IAS-9 since 2023.

His experience is in the field of Machine Learning (Deep Learning) and Statistical Learning in various disciplines (including time series analysis, Computer Vision, image analysis, generative approaches, optimization, etc.). His current research focuses on data-driven approaches for materials design for desired properties and process design. In addition, he has experience in teaching machine learning and in supervising bachelor and master theses.

At DKZ.2R he will work as a scientific consultant.