Servier
Miriam Lopez Ramos

Head of Data and AI Products for Research & CMC at Servier

  Greater Paris Metropolitan Region

About me

After earning an engineering degree from École Polytechnique (France), she completed a PhD in organic chemistry and molecular modeling at Institut Curie (France). She began her career as a modeler at Syngenta (Switzerland) and AB Science (Paris) before joining the biotech company Galapagos in the Paris area. At Galapagos, she progressed from providing modeling support for drug discovery projects to leading managerial roles. As head of the Computational Chemistry group, she oversaw project support activities and the development of innovative computational tools, including data science approaches applied to small molecules. Alongside her scientific work, she played an active role in modernizing data and laboratory informatics infrastructures. She recently joined the informatics department at Servier, where she leads the implementation of data and AI solutions for Research and CMC. In this role, she contributes directly to shaping the company’s data and AI strategy to accelerate drug discovery.

Schedule

My Session

Laying the foundations for data‑ and AI‑driven drug discovery: from lab digitalisation to AI‑augmented scientists
  • Digitalise labs and data at the source to ensure quality, FAIR, and traceable data.
  • Build scalable data and AI foundations to support ML and scientific compute: some end-to-end use cases supporting drug discovery
  • Democratise AI for scientists and enable adoption at scale through accessible tools and sandboxes, supported by governance, training, and change management

Miriam Lopez Ramos

Head of Data and AI Products for Research & CMC at Servier


AI and ML in Pharma
Drug Discovery and Development