User:Mirugwe/sandbox
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Mirugwe Alex
Mirugwe Alex is a Ugandan data scientist, researcher, and academic known for his work in machine learning applications in public health, particularly in HIV care, cervical cancer screening, and outbreak response systems. He is affiliated with Makerere University School of Public Health and has contributed to curriculum development and instruction in computer science at Victoria University, Kampala.
Early Life and Education
Mirugwe completed his Bachelor of Science in Computer Engineering at Makerere University in Uganda in 2019, with a final CGPA of 4.18/5.0. He earned a Master of Science in Data Science from the University of Cape Town in 2021, where his thesis focused on using machine learning for automated bird detection from webcam images. His advisors were Dr. Juwa Nyirenda and Dr. Emmanuel Dufourq.
Career
Makerere University School of Public Health (2022–present)
- Developed a machine learning model to predict HIV patient dropout and viral suppression risk.
- Built a deep learning algorithm for cervical cancer screening in Uganda.
- Created a patient-matching algorithm that reduced duplicate HIV records by 4.8%.
- Performed sentiment analysis on 20,000+ social media posts during the 2022 Ebola outbreak to inform public health communication.
Victoria University, Kampala (2022–2024)
- Taught Python, machine learning, deep learning, and AI courses.
- Helped design Software Engineering and Blockchain Technology programs.
University of Cape Town (2021)
- Tutored machine learning topics and supervised lab sessions.
- Assisted in curriculum design and student assessment.
Research and Publications
Mirugwe’s research interests include machine learning, deep learning, NLP, computer vision, and health data systems. Selected publications:
- <a href="https://www.longdom.org/open-access-pdfs/cervical-cancer-screening-artificial-intelligence-algorithm-for-automatic-diagnostic-support.pdf" target="_blank">Cervical Cancer Screening: Artificial Intelligence Algorithm for Automatic Diagnostic Support (2024)</a>
- <a href="https://www.mdpi.com/2075-1729/14/6/708" target="_blank">Sentiment Analysis of Social Media Data on Ebola Outbreak Using Deep Learning Classifiers (2024)</a>
- <a href="https://www.medrxiv.org/content/10.1101/2024.08.02.24311396v1" target="_blank">Improving Tuberculosis Detection in Chest X-ray Images through Transfer Learning and Deep Learning (2024)</a>
- Adoption of Artificial Intelligence in the Ugandan Health Sector: A Review of Literature (2023)
- <a href="https://www.ajpmph.com/ajpmph-articles/digital-outbreak-response-system-a-case-study-on-the-use-of-the-godata-tool-for-ebola-outbreak-data-management-in-uganda.pdf" target="_blank">Digital Outbreak Response System: A Case Study on the Use of the Go.Data Tool (2023)</a>
- <a href="https://www.researchgate.net/publication/353100937_Restaurant_tip_prediction_using_linear_regression" target="_blank">Restaurant Tip Prediction Using Linear Regression (2021)</a>
- <a href="https://www.academia.edu/download/88737448/Automating_Bird_Detection_Based_on_Webcam_Captured_Images_using_Deep_Learning.pdf" target="_blank">Automating Bird Detection Based on Webcam Captured Images Using Deep Learning (2022)</a>
Skills
- Programming: Python, R
- ML Frameworks: Scikit-learn, TensorFlow, Keras
- Data Tools: Pandas, NumPy, dplyr
- Visualization: PowerBI, Tableau, ggplot2
- Databases: MySQL, PostgreSQL, MongoDB
- Cloud: AWS, Azure
- Big Data: Hadoop, PySpark
- GenAI: Langchain, GPT, LLaMA
External Links
- <a href="https://github.com/mirugwe1" target="_blank">GitHub Profile</a>
- <a href="https://www.linkedin.com/in/mirugwe-alex-62a78492/" target="_blank">LinkedIn Profile</a>
- <a href="http://www.mirugwe.com/" target="_blank">Personal Website</a>
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