Juan Botía is a tenured AI professor and researcher with over a decade of experience applying machine learning to real-world engineering problems across domains such as agriculture, robotics, telecommunications, and elderly care. Based at Universidad de Murcia and holding research positions at UCL and previously King's College London, he blends academic rigor—illustrated by a PhD in machine learning/meta-learning—with hands-on product development and spin-off experience in indoor positioning technologies. His work spans neural networks, genetic algorithms, fuzzy systems and transcriptome analysis for neurodegenerative disease, routinely moving algorithms from lab prototypes to funded, impact-driven projects. Known for adapting ML techniques to constrained, applied settings, he maintains an extensive publication record and collaborates internationally to translate data-driven methods into deployable solutions.
10 years of coding experience
23 years of employment as a software developer
PhD in Computer Sciencie, Machine Learning (meta-learning), PhD in Computer Sciencie, Machine Learning (meta-learning) at Universidad de Murcia
GTEx co-expression networks from RPKM-V6 gene level expression data
Contributions:1 release, 4 commits, 2 PRs in 2 years 1 month
bioinformaticsco-expressiongtexgene
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