Curriculum Vitae
A concise overview of my academic journey, research experience, professional activities, and technical expertise.
Academic Profile
I hold a Master’s degree in Mathematics and Applications from the Université des Antilles, specializing in Mathematical Modelling and Decision Support Tools with a focus on Environment and Health. My work sits at the intersection of applied mathematics, mathematical modelling, and scientific computing, extending into data science and artificial intelligence in service of environmental and healthcare decision support. Alongside my research, I worked as a Full-Stack Developer & Data Analyst at Solutions S.A. from 2023 to August 2026, and I teach mathematics and data science at Université Quisqueya.
My research interests center on building mathematical models rigorous enough to understand complex systems and reliable enough to support real decisions: currently expressed through environmental contamination modelling, numerical methods for wave propagation, and a reproducible AI research framework. My long-term objective is doctoral research at the intersection of scientific computing and artificial intelligence, applied to real-world decision support.
My areas of expertise span pure and applied mathematics, numerical analysis, statistics and biostatistics, machine learning, and data engineering, grounded throughout in a commitment to reproducibility and interpretability over black-box results.
Further reading: Research & Teaching, My Scientific Journey.
Progression
Timeline
- Aug 2026 – present Professional
Data Engineer (volunteer)
AYITISTATS
- Feb 2026 Research Output
Preprint: Modélisation de l'exposition humaine au chlordécone
Preprint on compartmental modeling of human exposure to chlordecone in tropical environments.
- Jan 2026 – May 2026 Research
M2 research internship: ultrasound propagation modelling
LAMIA, Université des Antilles
- Sep 2025 – present Teaching
Lecturer, Mathematics for Computer Science
Université Quisqueya
- May 2025 – present Teaching
Teaching Assistant, Data Science & AI
Université Quisqueya
- Apr 2025 Research Output
Presentation: Exploring Finite Fields and Their Character Theory
Presentation of the fundamental concepts of finite fields and character theory (additive characters, orthogonality, and key results).
- Apr 2025 – Jun 2025 Research
Research internship: cyclone flow modelling
MEMIAD
- Sep 2024 – Jun 2026 Education
Master's in Mathematics and Applications, MOAD track
Université des Antilles, Mathematical modelling and decision support tools, environment and health focus
- Jan 2024 Education
MicroMasters in Statistics and Data Science
MIT (MITx), Methods track
- Jul 2023 – Aug 2026 Professional
Full-Stack Developer & Data Analyst
Solutions S.A.
- Nov 2021 – Jul 2022 Education
Bachelor's degree in Mathematics
École Normale Supérieure, Université d'État d'Haïti
- Oct 2017 – Jul 2022 Education
Civil Engineering degree
Faculté des Sciences, Université d'État d'Haïti
- Oct 2017 – present Research
Student Researcher
Laboratoire de Mathématiques et Applications, Université d'État d'Haïti
- Jan 2015 – present Teaching
Mathematics Tutor
Self-employed
Academic Background
Education
Master's in Mathematics and Applications, MOAD track
Mathematical modelling and decision support tools, environment and health focus
Research focus. Differential equations for mathematical modelling
Supervisor. Prof. Pascal Poullet
MicroMasters in Statistics and Data Science
Methods track
Bachelor's degree in Mathematics
Civil Engineering degree
Experience
Research Experience
Experience
Professional Experience
Experience
Teaching
Evidence
Publications
- Differential Equation Models for Environmental Risk (In Preparation), Manuscript in preparation, 2026
- Applied Mathematics for Data Science Education (In Preparation), Manuscript in preparation, 2026
- Modélisation de l'exposition humaine au chlordécone, ResearchGate (Preprint), 2026. DOI: 10.13140/RG.2.2.36238.01607
- Modern Analytics Engineering for Scientific Workflows (In Preparation), Manuscript in preparation, 2026
- Exploring Finite Fields and Their Character Theory, ResearchGate (Presentation), 2025. DOI: 10.13140/RG.2.2.13837.45285
Selected Projects
DataHut-DuckHouse
A multi-tenant analytics platform, local or cloud: Arrow Flight ingestion, hybrid DuckDB and Iceberg storage (MinIO/S3), dbt transformations and Trino queries.
Case study →Scientific Assistant
A local multi-agent system: eight specialized agents (planning, symbolic mathematics, numerical methods, statistics, literature, review, writing, memory) and hybrid vector and keyword RAG. Produces executable Python code and citations.
Case study →Simulation chlordécone
A non-autonomous compartmental ODE model of chlordecone contamination under seasonal rainfall forcing, with a Shiny app to simulate human exposure and intervention strategies. Code accompanying a preprint.
Case study →Medical Triage System
A C++ triage application: a Random Forest model classifies patients into three levels (critical, moderate, low) from their symptoms and risk factors.
Case study →
Technical Expertise
Languages
- C#
- Java
- Python
- TypeScript
- SQL
- R
- C++
Mathematics & scientific computing
- Statistics & probability
- Differential equations (ODE, PDE)
- Numerical analysis
- Finite differences, operator splitting
- Compartmental modelling
- Symbolic computation
Data engineering
- Microsoft Fabric (Lakehouse, Data Warehouse)
- ETL
- dbt
- Apache Iceberg
- Trino
- Arrow Flight
- Spark SQL
- Google Cloud (GCP)
Machine learning & AI
- Scikit-learn
- Pandas
- NumPy
- RAG
- Multi-agent systems
- Local LLMs (Ollama)
Databases
- SQL Server
- PostgreSQL
- MySQL
- Redis
- DuckDB
BI & visualization
- Power BI
- QGIS
- Shiny
Back end & APIs
- ASP.NET Core
- Blazor
- Spring Boot
- REST APIs
- Microservices
- RabbitMQ
- SignalR
- Entity Framework Core
Front end
- Next.js
- React
DevOps & tooling
- Docker
- Linux
- Git
- Azure DevOps
- GitHub Actions
- Jenkins
- Grafana
- Scrum
Certifications
Verified digital badges for these credentials are available on Credly.
Microsoft Certified: Fabric Data Engineer Associate (DP-700)
Designing and implementing data engineering solutions on Microsoft Fabric.
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Building analytics solutions and semantic models on Microsoft Fabric.
Apache Spark SQL for Data Analysts
Querying and analyzing large-scale data with Spark SQL.
Google Data Analytics Professional Certificate
Data cleaning, analysis, and visualization fundamentals for analytics work.
Google Business Intelligence Professional Certificate
BI processes, dashboarding, and stakeholder reporting.
Data or Specimen Only Research
Research ethics training for studies involving data or specimens only
Awards & Recognition
No formal awards to list yet at this stage of my research career. This section is ready to grow as that changes.
Languages
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