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Mehdi Astaraki is a postdoctoral researcher at the Division of Medical Radiation Physics at SU with a passion for applying deep learning (DL) and machine learning (ML) methods to cancer imaging analysis. He aims to develop imaging biomarkers for diagnosis, prognosis, and prediction of cancer stages, cancer development, treatment efficacy, and radiation treatment planning. He earned both his bachelor's and master's degrees in Bio̽»¨¾«Ñ¡ Engineering. In September 2022, he earned his Ph.D. degree from the joint program between the Division of Bio̽»¨¾«Ñ¡ Imaging at KTH and the Division of Medical Radiation Physics at KI.

Mehdi's research interests are primarily focused on the development, evaluation, validation, and deployment of DL and ML models for the diagnosis, prognosis, and treatment planning of different types of cancer including brain tumors, lung tumors, bone metastases, head&neck cancers, and lymph nodes involvement in radiological and molecular imaging such as MRI, CT, and PET. Methodologically, he is interested in supervised learning, representation learning, active learning, and federated learning techniques.