Santiago Balvanera is an Associate Lecturer and final-year PhD researcher at UCL with eight years’ experience applying machine learning to acoustic biodiversity monitoring. He develops novel methods to identify key acoustic signatures while tackling limited and biased data, bridging rigorous mathematical training (MSc Distinction in Mathematics, Licenciatura in Mathematics) with applied ecological genomics. His work spans academia and conservation practice—building national-scale acoustic monitoring infrastructure as a data scientist for Mexico’s biodiversity agency and now supporting research translation at the Bat Conservation Trust. Comfortable moving between theory and deployment, he combines expertise in probabilistic/ML methods with practical sensor and dataset design to make biodiversity signals accessible for conservation decision-making.
8 years of coding experience
4 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Master of Science (MSc) with Distinction, Matemáticas, Master of Science (MSc) with Distinction, Matemáticas at University of Warwick
Contributions:37 commits, 28 pushes, 3 branches in 1 month
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