Alessandra is a Research Associate in the field of adaptive clinical trial designs at the MRC Biostatistics Unit (Cambridge, UK). She also provides private consultancy on clinical trial designs and analysis at Saryga. Alessandra has concluded her PhD at the MRC BSU in Cambridge working on adaptive designs and methods to improve the efficiency of drug development.

Previously, Alessandra worked as a trainee at Actelion in Basel (Switzerland), a pharmaceutical company specialising in drugs for pulmonary hypertension. Specifically, she provided support for the Biostatistics Team by performing statistical analyses using time-to-event techniques. She analysed safety data collected in both clinical trials and observational studies.

Prior to joining the pharmaceutical industry, Alessandra graduated with a Master’s degree in Mathematical Engineering from the Polytechnic of Turin (Italy).

Sandrine is the Head of the Translational Statistics Group at Servier R&D. Jointly with her team members, she provides advanced statistical support and strategic insight into preclinical/early clinical development phases across Servier’s programs in oncology, Inflammation & Immunology and Central Nervous System.
Since 2016, she is also an active member of Societé Française de Statistique's Biopharmacy and Health group.
Prior to joining Translational Medicine, Sandrine worked in Clinical Development at Fovea, Sanofi and Servier giving her a rich and successful history in biostatistic issues in drug development, including a track record of successful regulatory interactions with global health authorities.
Sandrine holds an M.Sc. in Statistics from the University of Paris-Diderot.
Her main research interests focus on quantitative decision making, innovative designs, predictive models, and BMK-driven strategies.

Nils Ternès is a statistical biomarker leader at Sanofi R&D in France where he leads the biomarker-related statistical activities on several compounds in clinical development across all phases mostly in Oncology and Inflammation & Immunology. With this position, Nils is continuously looking for data and analytical methods innovations as well as operational efficiency in order to ensure effective decision making and increase the productivity of drug development.

Before joining Sanofi, Nils studied statistics applied to public health at Paris-Saclay University (MSc) and holds a PhD in Biostatistics (2016) at Gustave Roussy cancer institute on advanced penalized regression techniques for the identification of prognostic and predictive biomarkers in high-dimensional settings.

With a constant interest in learning and promoting the use of ML/AI technics to support clinical development, he is now co-leading the Machine Learning workstream from the Biomarkers ESIG.

As Head of Biomarker & Data Insights at Bayer AG (Berlin, Germany) Karl leads a team of data scientists / statisticians. With a background in omics data science and precision medicine, his team’s major objective is to advance drug development by enabling holistic understanding of complex biological systems - namely the patients in need. In this vein, their current endeavour is to understand how applied AI/ML can help to detect highly complex safety and efficacy signals in interventional clinical trials and how that can be utilized as a basis for creating virtual twins of specific disease indications.

Karl, being a Biochemist by training, discovered his passion for mathematical modelling of complex biological systems during his PhD at Humboldt University (Berlin, Germany) and subsequently devoted himself to applied machine learning during postdocs at TU-Dresden (Germany) and the Max-Delbrück-Center for Molecular Medicine (Berlin, Germany) before joining Bayer AG in 2014. At Bayer he has held positions of increasing responsibility as Study and Project Biomarker statistician for interventional trials of all phases in oncology.

In August 2023 Karl has joined Niles Ternès as co-lead of the Machine Learning workstream from the Biomarker ESIG.