Alejandro Cisterna Garcia

Alejandro Cisterna García is a Researcher at the University of Murcia, affiliated with the Intelligent Systems and Telematics research group. He holds a Ph.D. in Bioinformatics from the University of Murcia (2023), where his thesis focused on developing computational methods to improve diagnostic and patient management strategies. His research interests span bioinformatics, computational genomics, and the application of machine learning to healthcare and environmental challenges. He has contributed to novel biomarker discovery for neurodegenerative diseases like Alzheimer’s and Parkinson’s, as well as predictive modeling for environmental systems such as river basins and marine ecosystems.

Key research themes include heterogeneous graph neural networks for gene-phenotype link prediction, plasma cell-free RNA biomarkers, and epistasis analysis in neurodegenerative disorders. His work integrates multi-omics data and computational tools to advance precision medicine and environmental modeling. Notable projects include the development of the CoExp Web tool for co-expression network analysis and contributions to the Mar Menor coastal lagoon digital twin initiative.

Alejandro’s publications highlight a focus on translating bioinformatics innovations into clinical and environmental applications. His recent work addresses long-COVID risk prediction, Alzheimer’s preclinical diagnosis, and Parkinson’s disease genetics. While no specific scientific awards are listed, his interdisciplinary research bridges computer science, biology, and medicine to address complex global health and environmental challenges.

His academic journey includes collaborations with institutions like the University of Murcia and international teams in neurology and environmental science. Future research directions emphasize expanding biomarker applications and enhancing predictive models for precision diagnostics and sustainable environmental management.