Welcome! I’m Geovany Batista Polo LAGUERRE, a passionate Data Scientist and Master’s student in Mathematics and Applications at the University of the French Antilles. My work focuses on mathematical modeling, data science, machine learning, and decision support tools, with a particular emphasis on applying rigorous mathematical approaches to real-world problems.

Research Interests

My research interests span across multiple domains where mathematics meets practical applications:

• Mathematical Modeling: Development of compartmental models and differential equations for environmental and public health applications
• Data Engineering: Building scalable, modern data platforms using technologies like DuckDB, Apache Iceberg, and Trino
• Machine Learning & Deep Learning: Applying advanced ML techniques to scientific and business problems
• Statistical Analysis: Statistical modeling, mathematical statistics, and data analysis
• Scientific Computing: Developing research-grade tools for numerical methods and symbolic mathematics

Current Research

I am currently involved in research on differential equations for mathematical modeling, with a particular focus on environmental contamination models. My recent work includes:

My current Master’s research is supervised by Prof. Pascal Poullet (University of the French Antilles).

• Chlordecone Contamination Modeling: Developing continuous-time compartmental models to understand the environmental transfer and human exposure to chronic chlordecone contamination in tropical environments
• Character Theory in Finite Fields: Exploring fundamental concepts of finite fields and their character theory, including additive characters and orthogonality relations

Academic Background

• Master’s Student in Mathematics and Applications, University of the French Antilles (Current)
  • Department of Mathematics and IT, Pointe-à-Pitre, Guadeloupe
• Bachelor of Science, University of the French Antilles
• Research Affiliate, University of Haiti
  • Laboratoire de Mathématiques et Applications (October 2017 - Present)

Technical Expertise

My technical skills encompass a broad range of mathematical and computational tools:

Mathematics: Pure Mathematics, Mathematical Analysis, Group Theory, Statistical Modeling

Data Science & ML: Machine Learning, Deep Learning, Statistical Analysis, Data Analysis

Programming & Tools: Python, R, C++, SQL, TypeScript

Data Engineering: DuckDB, Apache Iceberg, Arrow Flight, dbt, Trino

Scientific Computing: Mathematical modeling, numerical methods, symbolic computation

Featured Projects

I maintain several open-source projects that demonstrate my interdisciplinary approach:

• simulation-chlordecone: Mathematical modeling and simulation of seasonal chlordecone contamination using non-autonomous compartmental ODE systems with Shiny visualization
• datahut-duckhouse: A modern, modular, multi-tenant analytics platform combining DuckDB, Apache Iceberg, and other modern data stack technologies
• scientific-assistant: A research-grade, local-first multi-agent AI framework for rigorous scientific analysis
• MedicalTriageSystem: C++ application for intelligent patient triage using machine learning (Random Forest)

Publications

My research has been published on academic platforms including ResearchGate:

1. Modeling Human Exposure to Chlordecone (February 2026)
   • Compartmental modeling of chlordecone exposure pathways
2. Exploring Finite Fields and Their Character Theory (April 2025)
   • Theoretical exploration of finite field structures and character theory

Contact & Collaboration

I am always eager to contribute to collaborative projects and deepen my expertise in applied mathematics and scientific computing. Feel free to reach out through any of the platforms linked in my profile.

Location: Pointe-à-Pitre, Guadeloupe