Meritxell Sáez Cornellana serves as a Contracted Professor of Ph.D in the Department of Mathematics and Data Analytics at IQS School of Engineering, part of Universitat Ramon Llull in Barcelona, Spain. She leads the ADAMIQS (Applied Data Analytics and Modelling IQS) research group funded by AGAUR, and participates in multiple interdisciplinary projects including CERTERA (advanced therapies development), NFT value drivers research, and international collaborations with China on sustainable development in population medicine. Her research focuses on applying mathematical modeling to biological systems, particularly in understanding cell fate decisions through dynamical landscapes and chemical reaction networks. She has developed geometrical frameworks for analyzing gene regulatory dynamics and cell differentiation processes, bridging mathematical theory with biological applications. Her work spans mathematical biology, dynamical systems theory, and data analytics, with particular expertise in bifurcation analysis, model reduction techniques, and statistical approaches to biological decision-making. Analysis of her publication record reveals a clear trajectory from foundational mathematical work in algebraic geometry toward increasingly biological applications, with a significant shift around 2016 toward systems biology. Her most impactful work involves creating geometrical landscapes that capture decision-making dynamics during cell fate transitions, which has been cited over 60 times. Recent publications show expansion into statistical approaches for university education and continued development of mathematical frameworks for understanding biological networks. Research leadership and funding: Principal Investigator for ADAMIQS project (Applied Data Analytics and Modelling IQS) funded by AGAUR (2022-2025) Researcher in CERTERA consortium for advanced therapies development (Carlos III Health Institute, 2024-2026) Researcher in NFT value drivers project (Fundación Ramón Areces, 2023-2026) Researcher in PoPMeD-SuSDeV project on sustainable development and global health (2023-2026) Researcher in 2IDLATRL project on learning analytics tools (2022-2023) Professor Sáez Cornellana directs the Applied Data Analytics and Modeling research line at IQS, supervising multiple research projects that integrate mathematical theory with practical applications in biology and education. Her team collaborates across disciplines, connecting mathematical modeling with biological experimentation and educational innovation, creating a unique interdisciplinary research environment focused on extracting meaningful insights from complex data systems.





