Chantal L. Mustoe
Papers
1
Total Citations
4
H-Index
1
About
Chantal L. Mustoe is a researcher at the forefront of pharmaceutical engineering, specializing in the intersection of crystallization science and automated data collection for medicine manufacturing. Her primary research areas include high-throughput screening, process optimization, and the development of autonomous workflows that bridge small-scale experimentation with industrial-scale production. Mustoe’s major contribution lies in pioneering the Autonomous DataFactory concept, a high-throughput platform designed to rapidly collect large-scale crystallization data—such as solubility, induction time, and growth rates—using minimal material and time. This work, detailed in her most-cited 2022 paper (4 citations), introduces a transformative workflow that reduces costs and accelerates the development of robust manufacturing processes for pharmaceuticals. By enabling information-rich data collection from small-scale crystallizations, Mustoe’s approach directly informs downstream process design, addressing a critical bottleneck in medicine production. Her achievements highlight a commitment to sustainable, efficient manufacturing, positioning her as an emerging leader in process systems engineering. For students and researchers, Mustoe’s work exemplifies how automation and data-driven strategies can revolutionize traditional pharmaceutical development, making it faster, cheaper, and more reliable.
Research Focus
Key Achievements
Top Papers
- 1