Metabolic network-based classification
Meet The Team
Dmitrii Smirnov
Computational biologist in the group of Dr. Holger Prokisch at Institute of Human Genetics, Technical University Munich, and Institute of Neurogenomics, Helmholtz Munich. Focused on AI applications in OMICs data integration and analysis for diagnostics of Rare Diseases. Currently involved in proteomics data generation & analysis and clinical data management in GENOMIT registry for Mitochondrial disease patients.
Mohammedreza Moghimi
PhD student, University of Galway. Working on Prediction of metabolic biomarkers using whole-body metabolic modelling. Hold a master's degree in Chemical Engineering and possess expertise in Cancer Systems Biology, Bioinformatics, Optimization, In-silico and Computational Modelling, as well as Metabolic Engineering.
Saleh Alwer
PhD student, University of Galway. Working on applying machine learning and artificial intelligence techniques to enhance metabolic network-based classification tasks. Holds Bachelor's and Master's in Computer Science with an AI specialization. Possess extensive expertise in various aspects of deep learning, including data preparation, training, evaluation, and full pipeline setup.