Hello, I am a Senegalese PhD student in Artificial Intelligence at the University of Montpellier, working at INRAE within the UMR TETIS laboratory since November 2024. My research focuses on leveraging Large Language Models and Knowledge Graphs for geospatial information extraction from textual data to improve food crisis monitoring and detection in West Africa.

I am supervised by Maguelonne Teisseire (Research Director at INRAE) and Sarah Valentin (Researcher at CIRAD).

Natural Language Processing Large Language Models Knowledge Graphs Deep Learning Food Security Geospatial AI Healthcare AI

Publications

Google Scholar · 5 publications · 3 citations · h-index: 1

Experience

Nov 2024 - Present

PhD Student in Artificial Intelligence

INRAE · UMR TETIS · Montpellier, France

Research on Spatial Information and AI (LLMs and Knowledge Graphs) for food crisis monitoring. Working on Named Entity Recognition, Relation Extraction, and geospatial analysis from news articles.

May 2024 - Jun 2025

Data Scientist

Paps · Dakar, Senegal

Data Science and Analysis for Logistics Operations Optimization. Built ETL pipelines and dashboards for operations and HR performance using MongoDB, Python, Tableau.

Sep 2023 - Oct 2024

AI Engineer Freelancer

Multiple Clients · West Africa

Built RAG applications, LLM integrations with vector databases, and data analysis solutions. Clients included DaDix Startup, NexAI, and Moov Money.

Oct 2022 - Aug 2023

Deep Learning Engineer

Institut de Recherche pour le Développement (IRD) · Dakar, Senegal

Atrial Fibrillation risk prediction using Deep Neural Networks. Implemented data generation techniques (GANs, Transfer Learning) and end-to-end pipelines with TensorFlow Extended (TFX).

Jan 2023 - Oct 2023

Deep Learning & Python Instructor

GOMYCODE · Dakar, Senegal (Part-time)

Taught Neural Networks, Deep Learning, Computer Vision, and NLP. Coached students in Python programming and machine learning concepts.

Education

2024 - 2027

PhD in Computer Science - Artificial Intelligence

University of Montpellier · INRAE - UMR TETIS

Thesis: Spatial Information and AI to Improve Food Crisis Monitoring Based on Textual Data

2021 - 2023

Master's Degree in Artificial Intelligence and Big Data

École Supérieure Polytechnique (ESP) · UCAD, Dakar

Thesis: Deep Learning Approaches for Predicting Atrial Fibrillation Risk in Pacemaker Patients

Awards & Honors

2024

Deep Learning Indaba Poster Prize

Deep Learning Indaba 2024

Data Science Bootcamp Scholarship ($800) for poster on "Atrial Fibrillation Risk Prediction in Pacemaker Patients Using AI Methods". Also selected for IJCAI AI for Good Symposium.

2023

Second Best Poster Award

Deep Learning IndabaX Senegal 2023

Outstanding research presentation on "Atrial Fibrillation Risk Prediction in Pacemaker Patients Using AI Methods".

Community

GalsenAI

Member · Since Sep 2021

Active member of Senegalese AI community. Presented research on "Text Analysis and Geospatial Extraction for Monitoring Food Crises in West Africa" at Reading Group: NLP & Food Security.

Masakhane

Member · Since Sep 2025

Contributing to grassroots NLP research for African languages, advancing AI accessibility and representation across the continent.

Skills

NLP & LLMs

Transformers, Hugging Face, NER, Relation Extraction, Sentiment Analysis, Topic Modelling, RAG Systems

Machine Learning & Deep Learning

TensorFlow/Keras, PyTorch, Scikit Learn, TFX, Computer Vision

Data & Databases

Algorithms & Data Structures, Neo4j, MongoDB, SQL, PostgreSQL, Vector Databases, Pandas, Tableau

Development

Python, C++, Docker, Git, FastAPI, MLOps

Contact

I'm open to research collaborations, consulting opportunities, and discussions about AI for social good. Feel free to reach out!

charles.ngom@inrae.fr · contactcharliedev@gmail.com