Selected Projects
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My research basically focus on developing novel biostatistical and representation learning (AI/ML) methods to identify genetic factors underlying complex diseases such as cancer and cardiovascular disorders, with a strong emphasis on interpretability and mechanistic insight. My research bridges statistical genetics, deep learning, and explainable AI to improve our understanding of disease biology and heritability. | |
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This project I worked on making understanding of multi-scale data on a real survival data application. | |
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In this project I performed survival analysis on heart failure patients data. | |
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The primary objective of this research project is to predict the observable traits or characteristics of an organism, referred to as the phenotype, based on its genetic makeup, or genotype. To achieve this, we employ various machine learning tech- niques, such as ridge regression and lasso, that are commonly used in predictive modeling. | |
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African Institute for Mathematical Sciences (AIMS) in Ghana
This project has been done for the completion of my Msc in Machine Intelligence during the African Master in Machine Intelligence, AMMI program in Ghana, sponsored by Google and Facebook. | |
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The summer school, founded by SIAM as the result of a generous bequest of former SIAM President Gene Golub, offers schools in applied mathematics, computational science, and industrial mathematics, primarily for graduate students in mathematics and computer science. As part of the South Africa Group, I worked on Accelerating Stochastic Gradient Descent using Predictive Variance Reduction. |
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African Institute for Mathematical Sciences (AIMS)
This project has been done for the completion of my Msc in Mathematical Sciences at the African Institute for Mathematical Sciences (AIMS) in Senegal |
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University of Dschang, Cameroon
This project has been done for the completion of my Master’s degree in Mathematics at the University of Dschang, Cameroon |




