Mugume Twinamatsiko Atwine

Mugume Twinamatsiko Atwine is a dedicated Data Scientist with over a decade of expertise in computer science with a background in computer Science with a BSc and MSc in Computer Science, specializing in machine learning, deep learning, natural language processing and MLOps. He is passionate about leveraging technology to advance health equity and drive social impact, particularly in resource-constrained environments.

At the Africa Center of Excellence in Bioinformatics (ACE), Mugume leads innovative projects that integrate data science into bioinformatics research. He mentors and teaches students, fostering practical skills through real-world projects and competitions. Notable achievements at ACE include developing predictive models for HIV research, NLP Analytics on Twitter data for public policy, Integration of LLM's into health applications and deploying chatbots to enhance health communication during the COVID-19 pandemic, equipping future data scientists with essential hands-on experience.

Other projects include eLwazi Open Data Science Platform. In this role, he oversees teams focused on data integration, metadata curation, and the implementation of FAIR (Findable, Accessible, Interoperable, Reusable) data principles. He excels in developing scalable machine learning models and decision-support systems that address critical public health challenges.

Committed to transforming lives through data and technology, Mugume is dedicated to creating meaningful change in underserved communities.