Skip to content

ACDM26 Speakers

ACDM26 brings together leading industry experts to deliver a diverse range of presentations, panel discussions, and breakout sessions. Speakers will share their extensive knowledge and experiences on a range topics, including practical AI, technology, innovation, RBQM, soft skills, different perspectives, USDM, eCOA, ICH E6, and more.

Meet the ACDM26 Speakers below.

Marouane Nouira

Head of Data Management & Strategy at Galapagos

Marouane Nouira is a distinguished leader in the life sciences technology sector, currently serving as the Head of Data Management and Data Strategy at Galapagos in the Netherlands. With a career defined by a steadfast commitment to quality and innovation, Marouane operates under the professional philosophy that “bad data kills good products.” He is dedicated to pioneering for patients by leveraging the full potential of data to drive progress in clinical research and development.

Marouane’s expertise was honed over a remarkable tenure of more than 12 years at Medidata Solutions, where he ascended through several leadership positions to become the Vice President of Client Services. In this pivotal role, he was instrumental in shaping the company’s client engagement strategy, ensuring the satisfaction and success of top-tier pharmaceutical companies. His leadership extended to spearheading the creation of cutting-edge Generative AI solutions for applications like study build automation and audit trail review. Marouane successfully developed and expanded an ecosystem of third-party partners, creating and implementing robust go-to-market (GTM) strategies that amplified market reach and collaborative success. His ability to engage with C-suite stakeholders, drive SaaS adoption, and lead large, high-performing teams cemented his reputation as a trusted advisor and a results-oriented leader.

A true innovator, Marouane is a co-inventor on several patents that address critical challenges in clinical data management. His inventions focus on improving data security in Electronic Data Capture (EDC) systems by using machine learning to detect and prevent the storage of Personally Identifiable Information (PII) and on creating self-calibrating, ML-based agents to make complex clinical trial data accessible through natural language queries.

Return to speaker gallery

Back to top