Federica Pasquali

Background

About Federica Pasquali

Passionate Clinical Data Engineer with 3+ years of experience driving data integrity and efficiency in global clinical trials across 50+ studies in oncology, cardiovascular, and haematology. I specialise in end-to-end data management, from study setup to database lock, utilising SAS, SQL, and advanced data visualisation to ensure >98% first-time quality compliance. My foundation in Biomedical Engineering, which includes thesis work on developing and validating a machine learning-based wearable armband, provides a deep understanding of the medical devices and biological signals at the heart of modern clinical research. This technical background is complemented by my ongoing Master's degree in Responsible AI, where I am focusing on the ethical frameworks and transparent methodologies required to safely integrate AI and machine learning into the clinical data pipeline, to bring life-changing therapies to patients more quickly. Specialities: Clinical Data Management, SAS Programming, SQL, Python, CDISC Standards (SDTM), Responsible AI, Machine Learning, NLP, Cross-Functional Leadership, Process Optimisation.