Engineered injection-extraction systems (2025)
This paper studies how sensitivity analysis can accelerate groundwater remediation by improving well operation strategies.
AI Builder and Data Storyteller
Hi, I am Dr. Pablo Merchán-Rivera, an AI Engineer and Data Scientist based in Munich.
I am originally from Ecuador and hold a doctoral degree in engineering from the Technical University of Munich (2022). Over the last three years, my main focus has been AI engineering: building reliable LLM applications, evaluation workflows, and production-ready ML systems.
My background in numerical modeling, uncertainty quantification, and Bayesian methods continues to shape how I design practical AI solutions for real-world problems.
This paper studies how sensitivity analysis can accelerate groundwater remediation by improving well operation strategies.
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