Agata Krzyzaniak

• Advancing diagnostics and data infrastructure within the Department of Radiology and the AI & Data Science Centre of Excellence. • Building data pipelines and engineering research-grade datasets to support AI-driven clinical workflows.

Conducted statistical analysis of quantitative data and produced publication-ready figures for a research study manuscript.

Applied DTW-based time-series clustering and spatiotemporal heterogeneity analysis to a dataset of 200,000+ pediatric clinical records across 260+ primary healthcare facilities to identify facility-level determinants of intervention uptake.

Supported clinical decision-making in pediatric care using pharmacometric simulation and modeling to optimize caffeine dosing in neonates.

• Conducted experimental and computational research on drug delivery optimization, characterizing dissolving microneedles and microspheres for intradermal delivery applications. • Built and validated PK/PD models simulating epilepsy treatment outcomes using real-world patient data, informing dosing strategy recommendations. • Managed and integrated heterogeneous datasets spanning clinical, experimental, and biomarker domains across multiple concurrent long-term projects.

• Characterized biomarkers using flow cytometry on human whole blood at the Department of Translational Medicine, contributing to assay development and internal validation reporting. • Conducted preformulation studies assessing solubility, stability, and storage-condition sensitivity of pharmaceutical compounds across two separate internship periods.

Focus: AI, data science, and mathematical modeling in drug discovery, clinical study design, and healthcare data analysis. The courses included digital biomarkers, healthcare cybersecurity, and cloud computing.

Focus: Cellular and molecular biology, biochemistry, and experimental research design.