Nov 27, 2025
Bienvenue au LABEF UAC

PhD in Biometry at the Doctoral School of Agronomic and Water Sciences of the University of Abomey-Calavi, 2020:2023 on the topic:''Empirical Evaluation of Machine Learning Techniques for Disease Detection and Yield Prediction in Tomatoes under Simulated Climate and Infection Conditions"
MSc degree in Biostatistics on the topic: “using of the multivariate longitudinal data analysis to assess growth patterns of maize (Zea mays) in Benin, 2018
Bachelor degree in Agronomy with a specialization in Natural Resources Management, 2015
Research project (Max 200 words): Wastage of agricultural yield is almost 40 % due to lack of field monitoring, non-identified like disease. To optimize agricultural production, it is important to early detect plants diseases and apply adequate treatment to them.
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Positions
Background

Yannick Mugumaarhahama, born on August 28, 1987, in Gitarama, holds a state diploma in industrial electrical engineering from the Institut Technique Avenir in Bukavu, DRC. He earned a degree in agronomy from the Catholic University of Bukavu and a Bachelor’s in Animal Production from the Université Évangélique en Afrique (UEA) in 2011. In 2013, he became a research and teaching assistant at UEA’s Faculty of Agriculture and Environmental Sciences, where he currently serves as Lecturer and Researcher in statistics. To strengthen his expertise, he earned an MSc in Biostatistics with distinction in 2018 from the University of Abomey-Calavi, coordinated by LABEF.
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Souand Peace Gloria Tahi is a postdoctoral researcher in Biometry from Benin, with a strong background in statistical modeling, machine learning, and environmental data analysis. She holds a Master's degree in Biostatistics and completed a PhD in Biometry with DAAD, AI4D, and Mawazo scholarships. Her postdoctoral research focuses on unraveling the complex interplay of environmental dynamics, socioeconomic factors, and demographic determinants in tropical disease patterns in Sub-Saharan Africa, using Structural Equation Modeling (SEM). In addition to her work on tropical diseases, Souand is also involved in improving maize yield prediction models by integrating real-world data, such as climate, soil, and sensor-based inputs, to support climate-resilient agriculture.
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Guillaume Hounsou-Dindin is a researcher specializing in Conservation biology. He earned a Bachelor's degree in 2013, focused on the Management of the National Park W and the issue regarding the management of spice and dyeing and aromatic plants in the surrounding areas of the park, followed by a Master's in 2017 (supported by RUFORUM), where he studied optimal practices for baobab leaf production.
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Achille Hounkpèvi is an agronomist and forester. He holds a PhD in climate change and biodiversity from University Felix Houphouet-Boigny (Cote d’Ivoire). He has academically and professionally trained his skills for potential scientist and leadership roles in interdisciplinary research team dealing with issues like agroforestry, biodiversity and climate change.
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Fascinated by data science and research, I have a PhD in Statistics-Probability, specialty Machine Learning & Data Mining after a master's degree in statistics option Biostatistics and a twenty certificates in data science. I worked in several positions since 2011, moving from consultant in data management and analysis to a data science research. Author or co-author of thirty seven published articles in peer review. I have a great facility to learn new concepts.
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