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).
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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.
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.
Multiple Clients · West Africa
Built RAG applications, LLM integrations with vector databases, and data analysis solutions. Clients included DaDix Startup, NexAI, and Moov Money.
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).
GOMYCODE · Dakar, Senegal (Part-time)
Taught Neural Networks, Deep Learning, Computer Vision, and NLP. Coached students in Python programming and machine learning concepts.
University of Montpellier · INRAE - UMR TETIS
Thesis: Spatial Information and AI to Improve Food Crisis Monitoring Based on Textual Data
École Supérieure Polytechnique (ESP) · UCAD, Dakar
Thesis: Deep Learning Approaches for Predicting Atrial Fibrillation Risk in Pacemaker Patients
École Supérieure Polytechnique (ESP) · UCAD, Dakar
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.
Deep Learning IndabaX Senegal 2023
Outstanding research presentation on "Atrial Fibrillation Risk Prediction in Pacemaker Patients Using AI Methods".
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.
Member · Since Sep 2025
Contributing to grassroots NLP research for African languages, advancing AI accessibility and representation across the continent.
Transformers, Hugging Face, NER, Relation Extraction, Sentiment Analysis, Topic Modelling, RAG Systems
TensorFlow/Keras, PyTorch, Scikit Learn, TFX, Computer Vision
Algorithms & Data Structures, Neo4j, MongoDB, SQL, PostgreSQL, Vector Databases, Pandas, Tableau
Python, C++, Docker, Git, FastAPI, MLOps
I'm open to research collaborations, consulting opportunities, and discussions about AI for social good. Feel free to reach out!