Somayeh Zamani is a researcher at the Albarqouni Lab at the University Hospital Bonn. Her research focuses on machine learning and AI-driven clinical systems using real-world healthcare data. She works on developing reliable and explainable AI methods, including graph-based and deep learning approaches, for building intelligent clinical AI assistants that support medical decision-making. Before her doctoral research, she worked as a machine learning engineer and data scientist in both academia and industry, contributing to applied AI solutions. She holds an M.Sc. in Computer Engineering from the University of Tehran.
PhD Candidate in Computer Engineering (Data Science)
University of Siegen, Germany
M.Sc. in Computer Engineering (Algorithms)
University of Tehran, Iran
B.Sc. in Computer Engineering (Software)
Shariaty Technical University, Iran