Profile Picture

Andrew Blayama Stephen

Data Analysis, Data Science and Applied ML Research

Data | Healthcare | Human Development

About Me

Data Scientist with hands-on experience in health data analytics, applied machine learning, computer vision, and AI-driven research. Skilled in applying data science and machine learning techniques to real-world problems, from model development to clear, compelling communication. Strong foundation in statistics and data engineering principles, with proven ability in data governance, cataloguing, and maintaining high data quality across complex pipelines. Adept at translating complex data into actionable insights that support innovation and confident decision-making. Committed to using technology to strengthen healthcare systems and drive data-powered development across Africa.

Recent Updates

Research

Reassessing Glioma Segmentation Strategies: nnU-Net as a Strong Baseline on Limited Sub-Saharan MRI Data (April, 2026)

Uwimana Lowami, Andrew Blayama Stephen, Confidence Raymond, Dong Zhang, Maruf Adewole, Udunna C. Anazodo, Mehmet Kurt, Damilare Olatunji, & Bernes Lorier Atabonfack

Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries. MICCAI 2025.

Lecture Notes in Computer Science, vol 16376. Springer, Cham.

Paper

Automated and Accessible Leukemia Detection from Microscopic Blood Films Using YOLO and Vision Transformers (December, 2025)

Andrew Blayama Stephen, Miracle James Olotuche, Mona Aman, & Azizuddin Ahmed Biyabani

IEEE AFRICON CONFERENCE 2025

Coming soon

AutoSign: Direct Pose-to-Text Translation for Continuous Sign Language Recognition

Samuel Johnny, Blessed Guda, Andrew Blayama Stephen, & Assane Gueye

ICCV MSLR Workshop 2025

Paper

Automated Diabetic Retinopathy Detection

Mohamed Alpha, Mukama Francois, & Andrew Blayama Stephen

AI in Health Africa Conference 2025

Poster Presentation