Florence Monard
Papers
1
Total Citations
18
H-Index
1
About
Florence Monard is a leading researcher in bioprocess engineering, with a focus on the computational design and optimization of protein purification technologies. Her work centers on developing model-based approaches to streamline ion exchange chromatography, a critical step in the production of therapeutic proteins. Monard’s major contribution lies in pioneering high-throughput design frameworks that integrate mechanistic modeling with experimental data, enabling faster and more cost-effective development of purification processes. Her most-cited paper, "Model-based high-throughput design of ion exchange protein chromatography" (2016), has garnered 18 citations and serves as a foundational reference for researchers seeking to replace trial-and-error methods with predictive, data-driven strategies. This work has significant implications for the biopharmaceutical industry, where efficient purification is essential for drug manufacturing. Monard’s research bridges the gap between computational simulation and practical application, offering tools that reduce resource consumption and accelerate process scale-up. Her achievements underscore a commitment to advancing sustainable and precise bioprocessing, making her a notable figure in the field of biochemical engineering.
Research Focus
Key Achievements
Top Papers
- 1Model-based high-throughput design of ion exchange protein chromatography18 citations · 2016