Marjan Mansourvar

Marjan Mansourvar is an Assistant Professor at the Department of Biotechnology and Biomedicine (Section for Synthetic Biology and Biosynthetic Pathway Engineering) at Technical University of Denmark (DTU). Her research focuses on integrating artificial intelligence, machine learning, and robotics into biotechnological and biomedical applications. She is particularly known for work in fungal identification, automated laboratory systems, and venom-induced dermatological analysis. Mansourvar supervises multiple PhD students and contributes to sustainable bioproduction and biocontrol research.

Her research interests span Biotechnology, Machine Learning, and Robotics, with applications in microbiology, image processing, and synthetic biology. She leads projects such as "Modeling Sustainability Performance of Bio-based Solutions" and "A new bias-free variant calling method using deep learning", reflecting her interdisciplinary approach.

Recent publications highlight advancements in AI-driven quality control for laboratory automation, venom toxicity analysis tools, and fungal interaction classification. Mansourvar’s work aligns with UN Sustainable Development Goals, emphasizing environmental and health sustainability. She is reachable at marjma@dtu.dk and maintains research pages at bioengineering.dtu.dk.