About Me

I recently submitted my PhD in Mathematical Biology at TU Dresden, where I was affiliated with the Center for Interdisciplinary Digital Sciences (CIDS) and the Department of High-Performance Computing (ZIH). My research focused on predictive modeling of glioblastoma recurrence by integrating mathematical models, radiomics, and machine learning. I developed hybrid in silico frameworks to simulate tumor-macrophage interactions and support personalized treatment strategies. With a background in biomedical and mechanical engineering, I bring interdisciplinary expertise in computational oncology, image analysis, and AI-driven diagnostics. I am currently working at HTW Dresden on radiomics-based prediction of tumor spheroid dynamics.

Research & Publications

Check my Google Scholar profile for my latest research.

For a complete list of my publications, visit the Publications Page.

CV

For details about my education, skills, and languages, visit my CV Page or click here to view my CV in PDF format.

Contact

Email: pejman.shojaee@tu-dresden.de