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Personal profile
Personal Statement
Cameron is a Senior Lecturer for the Strathclyde Institute of Pharmacy and Biomedical Sciences at the University of Strathclyde, Glasgow. Specialising in the development of digital design tools and strategies for pharmaceutical manufacturing. His current research is focused on the application of generative and deep learning approaches to the design of pharmaceutical equipment, processes, and products. A co-investigator for the CMAC Future Research Hub, ARTICULAR, and Digital Design and Manufacturing of Amorphous Pharmaceuticals (DDMAP) projects. As part of the GlaxoSmithKline, Nottingham University and University of Strathclyde Prosperity Partnership for a Healthier Nation, he also leads the University of Strathclyde team in the digital manufacturing of novel pharmaceutical processing equipment. A wealth of experience in knowledge exchange and translation of research to industry has resulted in Cameron being the academic lead for a knowledge transfer partnership with Siemens Process Systems Enterprise Ltd. He can be reached at cameron.brown.100(at)strath.ac.uk or on Twitter @CameronBrown42.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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DTP 2224 University of Strathclyde | Bjarnason, Aaron
Brown, C., Florence, A. & Bjarnason, A.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/22 → 1/04/26
Project: Research Studentship - Internally Allocated
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Machine learning derived correlations for scale-up and technology transfer of primary nucleation kinetics
Yerdelen, S., Yang, Y., Quon, J. L., Papageorgiou, C. D., Mitchell, C., Houson, I., Sefcik, J., ter Horst, J. H., Florence, A. J. & Brown, C. J., 18 Jan 2023, (E-pub ahead of print) In: Crystal Growth and Design. 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Digital design of filtration and washing of active pharmaceutical ingredients via mechanistic modelling
Ottoboni, S., Brown, C. J., Mehta, B., Jimeno, G., Mitchell, N. A., Sefcik, J. & Price, C. J., 6 Dec 2022, (E-pub ahead of print) In: Organic Process Research and Development. p. 1-18 18 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure)
Datasets
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Data for: “Machine Learning Approach to the Prediction of Powder Flow Behaviour of Pharmaceutical Materials from Physical Properties”
Pereira-Diaz, L. (Creator), Florence, A. (Supervisor) & Brown, C. (Supervisor), University of Strathclyde, 27 Sep 2022
DOI: 10.15129/3005493b-a125-4a5d-8599-525ce952facf
Dataset
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Data for: "A novel integrated workflow for isolation solvent selection using prediction and modelling"
Ottoboni, S. (Creator), Wareham, B. J. (Creator), Vassileiou, A. (Contributor), Robertson, M. (Creator), Brown, C. (Creator), Johnston, B. (Supervisor) & Price, C. J. (Supervisor), University of Strathclyde, 26 Apr 2021
DOI: 10.15129/53eb0335-2257-4532-a261-edaab2356ff2
Dataset
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Evaluation of methods for particle characterisation from in-line imaging and chord length distribution measurements
Christopher Boyle (Speaker), Javier Cardona Amengual (Contributor), Jan Sefcik (Contributor), Cameron Brown (Contributor), Neda Nazemifard (Contributor), Vaclav Svoboda (Contributor), Christopher L. Burcham (Contributor), Jan-Sebastiaan Uyttersprot (Contributor) & Francesca Perciballi (Contributor)
17 Nov 2022Activity: Talk or presentation types › Oral presentation
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Evaluation of Deep Learning methods for particle characterisation from in-line imaging and chord length distribution measurements
Christopher Boyle (Speaker), Cameron Brown (Contributor), Jan Sefcik (Contributor) & Javier Cardona Amengual (Contributor)
18 Sep 2022Activity: Talk or presentation types › Oral presentation