Onesime Mbulayi

Data Scientist | Bioinformatician | Researcher

About Me

Onesime Mbulayi

Data Science & Bioinformatics Specialist

I am a passionate data scientist and bioinformatician with a PhD in Biostatistics and Epidemiology currently being pursued at the University of Padova. My research focuses on developing machine learning algorithms to solve complex problems, particularly in genomics, precision medicine, and related fields.

With over 10 years of experience in academia and industry, I have worked on various projects ranging from development, databases, visualization, data analysis, machine learning, deep learning, to genomics. I am also passionate about teaching and have developed several university courses on data science, programming, and bioinformatics.

Technical Skills

Python R Machine Learning Deep Learning Bioinformatics Genomics Data Visualization SQL Big Data

Projects & Teaching

Genomic Data Analysis

Cancer Genomics Platform

Developed a machine learning platform for analyzing and interpreting cancer genomic data to identify potential therapeutic targets.

Python TensorFlow Bioinformatics
Data Science Course

Data Science for Biologists

Created and taught a university course introducing biologists to essential data science concepts and tools with practical applications.

Teaching Python Jupyter
Drug Discovery

AI for Drug Discovery

Led a research team developing deep learning models to predict drug-target interactions and accelerate the drug discovery process.

Deep Learning PyTorch Cheminformatics

Publications

Genomic Island Prediction via Chi-Square Test and Random Forest Algorithm

Mbulayi Onesime, Zhenyu Yang, Qi Dai.

Computational and Mathematical Methods in Medicine, 2021.

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Onesime Mbulayi, XXXX., XXXXX, XXXXXX.

Bioinformatics, 2022

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Onesime, M.

Academic Press, 2021

Get In Touch

Contact Information

mbonesime@gmail.com

mbulayi.onesime@unikin.ac.cd

(+243) 990 880 553

Department of Computational Biology, University of Science

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