Tonatiuh González is a Biomedical Engineer turned clinical data and monitoring specialist with nine years of experience applying R&D rigor to clinical trials and translational research. He has led machine-learning–driven diagnostics work at CNRS and built predictive and NLP workflows for clinical data, later translating that expertise into central monitoring and RBM implementations across multinational studies. At ICON he drove patient-centric monitoring, UAT, QC and Tableau visualizations, and now supports Pfizer’s data surveillance efforts to automate KRIs and safeguard data integrity. Fluent in both lab-based assay development and production-grade analytics, he bridges wet-lab innovation and scalable clinical data operations. Notably, his background in nanobiotechnology and a public health master’s from Imperial College give him uncommon depth in both molecular diagnostics and population-level trial strategy.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Biomedical Engineering, 89%, Bachelor of Science - BS, Biomedical Engineering, 89% at Tecnológico de Monterrey
Master of Science - MS, Nanosciences & Nanotechnologies - Biotechnology, Master of Science - MS, Nanosciences & Nanotechnologies - Biotechnology at Université Grenoble Alpes
Master of Public Health - MPH, Master of Public Health - MPH at Imperial College London
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Tonatiuh González - Senior Associate Central Monitor