Alonso Lubega
Research Scientist Data Manager @Helmholtz Munich
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WORK HISTORY
Research Scientist Data Manager @Helmholtz Munich
Munich, DE
Evaluated whether deep learning can detect CHIP from digital blood smear images-Preprocessed whole-slide images into patches and apply quality control-Trained and evaluated MIL architectures
EDUCATION
Deggendorf Institute of Technology
Master's degree
Ndejje University
Bachelors Degree in Information and Communications Technology
ABOUT ALONSO LUBEGA
I am a Data & IT professional with deep expertise in clinical data management, data governance, data engineering, and medical informatics, built through hands‑on work at Helmholtz Munich, Beckman Coulter, and Global Health Uganda. With an M.Sc. in Medical Informatics and over eight years of experience in regulated environments, I specialize in creating high‑quality, interoperable, and analysis‑ready data ecosystems. My work includes building FAIR‑aligned metadata repositories, data hamonization infrastructures, designing ETL pipelines, implementing data quality frameworks, and developing dashboards and reporting tools that support research, operations, and decision‑making. I bring strong knowledge of interoperability standards, GCP‑compliant processes, and cross‑functional collaboration with clinicians, researchers, and IT teams.I thrive at the intersection of data quality, governance, engineering, and healthcare innovation, where accuracy and integrity directly impact outcomes. Recently, I contributed to AI‑driven digital pathology by maintaining Multiple Instance Learning pipelines for whole‑slide image analysis. I am now seeking opportunities in Munich or the surrounding region in Data Governance, Clinical Data Management, Data Engineering, BI/Analytics, or Medical Informatics, where I can help organizations build trustworthy data foundations and deliver meaningful, scalable impact.
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