Reproducible research systems
Traceable workflows connecting protocols, data dictionaries, analytical code, quality checks, results, and reporting.
Permanent author profile
Dr. Andrie Udal
PhD Medicine, MSHDS
Healthcare Data Science Lead · ProWrite Medical Research Support
Dr. Udal focuses on reproducible research workflows, applied machine learning, and real-world evidence design. His work connects clinical questions with defensible data methods and clear, researcher-owned scientific communication.
Areas of focus
Turning complex data into research that can be checked.
Applied health data science
Practical statistical and machine-learning approaches grounded in clinical questions, data limitations, and appropriate validation.
Real-world evidence
Study designs and analytical reasoning for observational health data, with explicit attention to bias, uncertainty, and generalizability.
Recent author publication
Practical guidance for defensible medical research.
What Makes Medical Research Defensible? Six Data-Science Controls That Protect the Result
A practical framework for research questions, data provenance, reproducible analysis, uncertainty, and accountable AI use.
Read the article →