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Hi, I’m Liuhuang Luo, a data-driven environmental scientist pursuing an MSc in Sustainable Land & Groundwater Management at Ghent University. I blend field knowledge with machine learning to model groundwater systems, quantify uncertainty, and support water-resource decision-making. I enjoy building end-to-end data pipelines, performing sensitivity and uncertainty analyses, and delivering interpretable ML insights for engineers and policymakers. I’m excited to collaborate on challenging environmental data problems and contribute to data-driven solutions for sustainable resources.…Hi, I’m Liuhuang Luo, a data-driven environmental scientist pursuing an MSc in Sustainable Land & Groundwater Management at Ghent University. I blend field knowledge with machine learning to model groundwater systems, quantify uncertainty, and support water-resource decision-making. I enjoy building end-to-end data pipelines, performing sensitivity and uncertainty analyses, and delivering interpretable ML insights for engineers and policymakers. I’m excited to collaborate on challenging environmental data problems and contribute to data-driven solutions for sustainable resources.

Liuhuang Luo

Data Scientist, Developer, Web Developer, +2

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Hi, I’m Liuhuang Luo, a data-driven environmental scientist pursuing an MSc in Sustainable Land & Groundwater Management at Ghent University. I blend field knowledge with machine learning to model groundwater systems, quantify uncertainty, and support water-resource decision-making. I enjoy building end-to-end data pipelines, performing sensitivity and uncertainty analyses, and delivering interpretable ML insights for engineers and policymakers. I’m excited to collaborate on challenging environmental data problems and contribute to data-driven solutions for sustainable resources.…Hi, I’m Liuhuang Luo, a data-driven environmental scientist pursuing an MSc in Sustainable Land & Groundwater Management at Ghent University. I blend field knowledge with machine learning to model groundwater systems, quantify uncertainty, and support water-resource decision-making. I enjoy building end-to-end data pipelines, performing sensitivity and uncertainty analyses, and delivering interpretable ML insights for engineers and policymakers. I’m excited to collaborate on challenging environmental data problems and contribute to data-driven solutions for sustainable resources.

Available to hire

Hi, I’m Liuhuang Luo, a data-driven environmental scientist pursuing an MSc in Sustainable Land & Groundwater Management at Ghent University. I blend field knowledge with machine learning to model groundwater systems, quantify uncertainty, and support water-resource decision-making.

I enjoy building end-to-end data pipelines, performing sensitivity and uncertainty analyses, and delivering interpretable ML insights for engineers and policymakers. I’m excited to collaborate on challenging environmental data problems and contribute to data-driven solutions for sustainable resources.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Language

Chinese

Fluent

English

Advanced

Italian

Intermediate

German

Beginner

Dutch

Beginner

French

Beginner

Work Experience

Geo-Energy & Groundwater Modeling Intern at AGT nv

November 1, 2025 - Present

Compared analytical and numerical models (EED, MODFLOW-GWE) using benchmark datasets. Conducted parameter sensitivity analysis (thermal resistance, groundwater flow, soil properties). Evaluated trade-offs between model accuracy, interpretability, and computational efficiency. Produced analysis reports supporting engineering decision-making.