After KAUST Academy
Dhiyaa completed the KAUST Academy AI Specialization in September 2026 and received the program certificate at the closing ceremony at KAUST. Dhiyaa's summer internship at CERN focused on reproducible machine learning pipelines for the CMS experiment.
Summer project
Artificial Intelligence Specialization · Cohort 2026
Reproducible Machine Learning Pipelines for CMS TICL
A configuration-driven, end-to-end framework for transforming CMS TICL NanoAOD event data into analysis-ready, validated Parquet datasets and fully reproducible machine-learning experiments. The framework standardizes the complete workflow: extracting and flattening detector-level and truth-level information, performing configurable truth matching, applying deterministic filtering and feature preprocessing, validating schemas and data quality, and producing versioned datasets with complete provenance. It also supports repeatable model training and evaluation, experiment and artifact tracking through CERN-hosted MLflow, replay-based validation to confirm reproducibility, and model export for downstream inference and integration. By separating physics selections, feature definitions, matching strategies, preprocessing, and training parameters into declarative configuration files, the system makes TICL ML studies easier to audit, compare, reproduce, and extend across datasets, models, and collaborators.
With KAUST Academy
- Cohort 2026
Artificial Intelligence Specialization
CERN · Artificial Intelligence Summer Internship
Want your entry updated or removed? Contact us.