Gaëlle Saint-Hilary, PhD
CEO & Founder
With 20 years of experience in the pharmaceutical industry and a strong and long-lasting collaboration with academia, Gaëlle Saint-Hilary is a recognized expert in Bayesian statistics and quantitative decision-making. She has worked at developing novel approaches to improve drug development’s performances, e.g. on benefit-risk assessment or innovative designs.
Marie-Karelle Rivière, PhD
Chief Scientific Officer, Expert Statistical Methodologist
Marie-Karelle is a statistical expert with strong technical competences, driving innovation for more than 10 years in both industry and academia. She provides methodological support to statisticians on complex innovative approaches for clinical trials, with a specialization in early phase dose-finding oncology. She has excellent programming skills and a demonstrated experience in developing R packages.
Cristina Do Carmo
Chief Corporate Strategy and Innovation Officer
Cristina has more than 20 years of experience in pharmaceutical R&D, leading global initiatives in data quality, governance, standardization and cross-functional collaboration. Combining a strong scientific background with an Executive MBA focused on strategy, innovation and multicultural leadership, she bridges science, operations and business in complex international environments. At Saryga, she drives growth by fostering collaborations, exploring new opportunities and transforming scientific expertise into sustainable business value. She is passionate about building trusted relationships across disciplines, cultures and organizations.
Anaïs Andrillon, PhD
Senior Statistical Methodologist
Anaïs is a researcher in biostatistics. She holds a PhD on survival models for dose-finding clinical trials in oncology from the French National Institute of Health and Medical Research, during which she developed novel statistical methods for early assessment of the toxicity and therapeutic effect of novel anti-cancer agents. She has many publications on Bayesian early phase designs and on the use of patient-reported outcomes. Anaïs also provides teaching courses and trainings in statistics.
Hugo Hadjur, PhD
AI & Statistical Methodologist
Hugo is a young researcher in computer science and artificial intelligence (AI). He holds a PhD on designing and modeling autonomous and energy-efficient Internet of Things systems, applied to smart beehives, from “Ecole Normale Supérieure” of Lyon. During his education, he developed an acute expertise of innovative machine learning methods and intelligent systems. He is dedicated to cutting-edge research, and his ability to apply his skills in diverse domains – both within and beyond the scope of life-science – makes him an invaluable asset in the evolving landscape of AI and computer science.
Julien Tanniou, PhD
Expert Statistical Methodologist
Julien is an expert statistical methodologist with extensive experience in biostatistics, clinical trial design and real-world evidence. He is recognised for his contributions to subgroup analyses and statistical methodologies, with numerous scientific publications and presentations. His experience encompasses academia, industry, and regulatory agencies, providing statistical input and methodological support.
Mélanie Guhl, PhD
Junior Statistical Methodologist
Melanie is a young researcher in biostatistics. She holds a PhD from the French National Institute of Health and Medical Research on computing uncertainty in nonlinear mixed effects models in the context of sparse designs. Her work focused on developing Bayesian approaches and was applied in the field of pharmacometrics. During her experience in academia, she has collaborated with both regulatory agencies and industry, and has also provided training for both statisticians and non-statisticians.
Marco Ratta, PhD
Junior Statistical Methodologist
Marco is a young researcher in Biostatistics, completing his PhD at the Polytechnic University of Turin. His research focuses on statistical methodologies for clinical trials, particularly group sequential designs, Bayesian dynamic borrowing, seamless designs, and multi-criteria decision analysis. During his PhD, he has collaborated with industry partners and served as a teaching assistant for several undergraduate and graduate statistics courses.
Rémi Peyre, PhD
Applied mathematician
Before joining Saryga, Rémi worked for 15 years as an associate professor of applied mathematics at École des Mines de Nancy. His PhD work in theoretical probability, under the supervision of Cédric Villani, already showed a taste for taking a physicist’s viewpoint whenever possible, favouring meaningful quantities over mathematical conveniences. Over the years, Rémi developed a growing interest in statistics and modelling: as a teacher, he earned a local reputation for his courses on inferential statistics, on information theory and on Monte Carlo methods.
Pavel Mozgunov, PhD
Associate Statistical Methodologist
In parallel to his consulting activities, Pavel is a Programme Leader Track at the MRC Biostatistics Unit, University of Cambridge & NIHR Advanced Fellow. He is widely acknowledged for his expertise in adaptive designs, dose-finding trials, platform trials, and Bayesian designs in general. Pavel works both on the methodological developments and their implementation in trials. Pavel is currently leading the design of multiple clinical trials across Europe, including the National UK platform AGILE for novel COVID-19 treatments. He offers advice in the design and analysis of clinical studies, develops novel bespoke statistical methods, and provides a number of professional development courses.
Saryga 