About Me
My name is Franck-Arnaud LIEHOUAN, from Côte d'Ivoire. I hold a Bachelor's degree in Mathematics and Computer Science and I study Applied Mathematics, focusing on Probability and Statistics. I work primarily with Python and R, focusing on data analysis, statistical modeling, and AI applications. I am passionate about using artificial intelligence and data science to address real-world challenges in health, education, environment, and technology. I thrive in multidisciplinary teams, enjoy exploring innovative approaches, and continuously seek to expand my knowledge. My goal is to harness AI and mathematics to create inclusive, impactful, and sustainable solutions that enhance quality of life, especially in developing regions.
Personal Information
Resume
Summary
I am a Mathematics and Computer Science graduate, I am deeply passionate about leveraging mathematics and technology, particularly Artificial Intelligence, to develop innovative solutions with significant social impact. Through my professional experience in community-based projects, I have gained direct insight into the real-world challenges faced by populations, which inspires my research and applied work.
Education
Master's Degree in Applied Mathematics
Option: Probability & Statistics.
Université Jean Lorougnon Guédé, Côte d'Ivoire
2022 – 2025 (Ongoing)
Bachelor's Degree in Mathematics & Computer Science
Université Jean Lorougnon Guédé, Côte d'Ivoire
2021
Research
- Robustness of minimum Hellinger Distance, case of extreme value law
- Developing an AI-Driven application for precise malnutrition detection in Côte d'Ivoire
Professional Experience
Community Development Consultant
Generation Women of the Third Millennium (Cocoa Life Project)
2024
Facilitated participatory diagnostics for local community needs.
Field Supervisor
Alliance Côte d'Ivoire (PMNDPE Project)
2022 – 2023
Implemented community health and nutrition activities.
Field Investigator & Supervisor
CARE International Côte d'Ivoire
2020 – 2021
Collected field data, supervised nutrition activities, and evaluated health committees using Kobocollect.
Training Consultant
REACH Project (Stanford Univ. & CARE Partnership)
2019 – 2020
Trained community health committees (COGES) and drafted reports.
Publications
Currently preparing research papers for publication. Focused on developing impactful contributions to the fields of Applied Mathematics and AI-driven solutions for social challenges.
Skills/スキル
My technical expertise and areas of specialization.
Python Programming
R Scripting
Statistical Modeling
LaTeX Typesetting
Academic Research Methods
My Projects
Here are some completed and ongoing projects.
AI Malnutrition Detection
Date: Sept 2025
Development of an AI system for detecting malnutrition cases using computer vision and machine learning techniques.
In progress Private
Not availableContact
Get in touch with me for collaborations or inquiries.