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Metabolic network-based classification

Meet The Team

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Prof. Ines Thiele

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Professor at the University of Galway. Expert in reconstruction and modelling of metabolism.

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Prof. Barbara Bakker

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Professor of Medical Systems Biology, University Medical Centre Groningen. Expert in Systems Biology of Metabolic Networks and Metabolic Disease.

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Prof. Thomas Hankemeier

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Professor of Analytical BioSciences at Leiden University. Expert in innovative analytical tools for metabolomics-driven systems biology in personalized health strategies.

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Prof. Holger Prokisch

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Helmholtz Zentrum München, expert in multiomics for disease diagnostics.

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Prof. Ronan Fleming

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Associate Professor at University of Galway, Ireland. Expert in mathematical and computational modelling of metabolic networks.

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Dr. Amy C. Harms

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Senior scientist in the Metabolomics and Analytics Centre and manages the Biomedical Metabolomics Facility Leiden. Experienced in using tracer-based approaches together with model systems to probe the biochemistry behind diseases and their treatments. 

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Tania Barata

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Postdoctoral Researcher in Computational Systems Medicine, University Medical Centre Groningen. Working to integrate kinetic constraints in computational genome-scale metabolic models of patients with inherited metabolic diseases and to develop hybrid stoichiometric-kinetic models

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Dmitrii Smirnov

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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.

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Farid Zare

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PhD student in Computational Systems Biology, University of Galway with a Bachelor's and Master's degree in Chemical Engineering. Possess strong foundation in programming and the development of algorithms for the analysis of genome-scale metabolic models. 

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Saleh Alwer

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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.

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Paula Walsh 

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PhD student, University of Galway, with a Bachelor's in Microbiology. PhD Student in the University of Galway Ireland. Working on Computational modelling of Inborn Errors of Metabolism. 

Recon4IMD is co-funded by the European Union's Horizon Europe Framework Programme (101080997), the Swiss State Secretariat for Education, Research and Innovation (23.00232), and by United Kingdom Research and Innovation (10083717 & 10080153).

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