معرفی
Mehrad Mahmoudian serves as a Doctoral Researcher in the Department of Computing and Project Researcher at the Institute of Biomedicine, University of Turku. He is affiliated with the Computational Biomedicine research group under Elo Lab, operating from Biocity 7th floor (Office 7096) at Tykistökatu 6, Turku.
His research spans Machine Learning, Statistical Data Analysis, and Survival Analysis applied to biomedical challenges. Key focus areas include cancer genomics, reproductive health disorders, microbiome analysis, and clinical risk prediction. His methodological innovations address high-dimensional biological data through algorithm development for feature selection, epigenomic analysis, and predictive modeling.
Analysis of his publications reveals a consistent trajectory in developing computational tools for biomedical data interpretation. His work bridges molecular biology (epigenetics, transcriptomics) with clinical applications (cancer prognosis, pregnancy disorders, cardiovascular risk), emphasizing robust statistical frameworks and machine learning pipelines for translational research.
As a core member of the Computational Biomedicine group, he contributes to collaborative projects involving multi-omics integration, clinical decision support systems, and biomarker discovery. His technical expertise spans proteomics, metaproteomics, and genomic data analysis pipelines, with significant contributions to open-source computational methods like ROTS for differential peak detection.
