Zinabu Bekele Tadese

Lecturer & Public Health Researcher | Health Informatics & Machine Learning Specialist

About Me

Zinabu Bekele Tadese

Professional Summary

I am a lecturer and junior public health researcher passionate in machine learning, deep learning, big data analysis, spatial modeling and risk prediction models with a strong background in Health Informatics.

  • Principal Investigator for university-level research
  • 11+ peer-reviewed publications
  • Lecturer in Health Informatics
  • Project coordination experience
  • Undergraduate research supervision
  • Conference presentations

Current Research Focus

Leading a university-level mid-scale research project to develop a machine learning-based prognostic model for preterm birth among pregnant women in Ethiopia's Afar Region hospitals.

Education

Master of Public Health Informatics
University of Gondar, Ethiopia
Nov 2021 - Aug 2023

College of Medicine and Health Science, Institute of Public Health

Thesis Grade: Excellent

Bachelor of Science in Health Informatics
Mattu University, Ethiopia
Sep 2017 - Jan 2021

College of Health Science

Awards & Certifications

IBM Data Science Professional (Coursera) Systematic Review & Meta-analysis (JBI)

Professional Experience

Project Coordinator

Capacity Building and Mentorship Project (CBMP)

August 2024 - Present

  • Responsible for monitoring and coordinating Routine health information system implementation and Health System strengthening in 4 woredas of Afar region
  • Plan and implement specific components of HSS interventions in the region in collaboration with central office
  • Conduct Information Revolution assessment and provide technical guidance and support to healthcare facilities

Lecturer

Department of Health Informatics, Samara University

August 2023 - Present

  • Teach courses: System Analysis & Design, Health Data Analytics, eHealth and C++
  • Supervise undergraduate students in their final year research and project development
  • Coordinate academic activities in the department

Assistant Lecturer

Department of Health Informatics, Samara University

April 2021 - November 2021

  • Delivered courses related to information technology and public health
  • Assisted Health Informatics students with their final year projects

Research & Publications

Featured Publications

Forecasting tuberculosis in Ethiopia using deep learning: progress toward sustainable development goal evidence from global burden of disease

Tadese ZB, Arage, F.G., Tsegaw, T.K. et al. (2025) BMC Infect Dis 25, 870 (2025) doi: 10.1186/s12879-025-11228-3

View Publication
Exploring machine learning algorithms for predicting fertility preferences among reproductive age women in Nigeria

Tadese ZB, Nimani TD, Mare KU, Gubena F, Wali IG and Sani J (2025) Front. Digit. Health 6:1495382. doi: 10.3389/fdgth.2024.1495382

View Publication
Interpretable prediction of acute respiratory infection disease among under-five children in Ethiopia using ensemble machine learning and Shapley additive explanations (SHAP)

Tadese ZB, Hailu DT, Abebe AW, et al. DIGITAL HEALTH. 2024;10. https://doi.org/10.1177/20552076241272739

View Publication
Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach

Tadese, Z.B., Nigatu, A.M., Yehuala, T.Z. et al. Sci Rep 14, 11529 (2024). https://doi.org/10.1038/s41598-024-62641-8

View Publication
Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach.

Arage, F.G., Tadese, Z.B., Taye, E.A. et al. BMC Medical Informatics and Decision Making 25, 127 (2025). https://doi.org/10.1186/s12911-025-03039-y

View Publication

Research Projects

Machine Learning-Based Prognostic Model for Preterm Birth

Principal Investigator
Afar Region Hospitals, Ethiopia

Leading a university-level mid-scale research project to develop a machine learning-based prognostic model for preterm birth among pregnant women in Ethiopia's Afar Region hospitals.

  • Utilizes Python (TensorFlow, scikit-learn) for model development
  • Focuses on improving early intervention in low-resource settings
  • Incorporates clinical datasets from regional hospitals

CBMP

    The Capacity Building and Mentorship Program The Capacity Building and Mentorship Program (CBMP) is a collaborative initiative established in 2017 involving the Ministry of Health (MoH), six local universities and regional health bureaus. Its primary aim is to offer technical support to the Ministry of Health and regional health bureaus on health information systems, digital health, and evidence generation for various health programs. The partnership is funded by the Bill and Melinda Gates Foundation, the Ministry of Health, USAID through DHA, and other contributors.

Skills

Technical Skills

Machine Learning/DL (Python)
Statistical Analysis (STATA, SPSS)
GIS (ARGis Pro)
Programming (C++, HTML/CSS)
Database Management (MySQL, PHP)

Professional Skills

Research Methodology
Project Management
Teaching & Mentoring
Team Leadership
Multilingual Communication

Languages

English
Afan Oromo
Amharic

Contact Me

Get In Touch

Feel free to reach out for collaborations, research opportunities, or any inquiries.

Samara University, Ethiopia