Projects per year
Personal profile
Personal Statement
Cameron is a Strathclyde Chancellor’s Fellow for the Strathclyde Institute of Pharmacy and Biomedical Sciences at the University of Strathclyde, Glasgow. Specialising the development of digital design tools and strategies for pharmaceutical manufacturing. His current research is focused on systems wide approaches to pharmaceutical process and product design through the use of tools such as CFD, population balance modelling, flow sheeting and deep learning AI. With the aim of building an area for generative design in pharmaceutical equipment, processes and products where everything is an infinitely controllable variable.
He received his chemical engineering MEng and PhD from Heriot-Watt University, Edinburgh, where he continued into both research and teaching roles in particle technology. Cameron moved to The University of Strathclyde in 2014.With articles featured in Molecular Systems Design & Engineering, Crystal Growth and Design, CrystEngComm and IChemE publications. As well as book chapters on continuous manufacturing of pharmaceuticals.
He can be reached at cameron.brown.100(at)strath.ac.uk or on Twitter @CameronBrown42.
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Doctoral Training Partnership 2018-19 University of Strathclyde | Pereira-Diaz, Laura
Florence, A., Brown, C., Johnston, B. & Pereira-Diaz, L.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/19 → 1/04/23
Project: Research Studentship - Internally Allocated
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Data mining crystallization kinetics
Maldonado, D. A., Vassileiou, A., Johnston, B., Florence, A. J. & Brown, C. J., 1 Aug 2022, (E-pub ahead of print) In: Digital Discovery. 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Autonomous DataFactory: high-throughput screening for large-scale data collection to inform medicine manufacture
Pickles, T., Mustoe, C., Brown, C. & Florence, A., 28 Jun 2022, (E-pub ahead of print) In: British Journal of Pharmacy. 3 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 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
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Digital Design of End-to-End Manufacturing Process for Mefenamic Acid Using Mechanistic Modelling
Cameron Brown (Speaker), Niall Mitchell (Contributor), Frederik Doerr (Contributor), John McGinty (Contributor), Magdalene Chong (Contributor), Murray Robertson (Contributor), Elke Prasad (Contributor) & Sara Ottoboni (Contributor)
20 Nov 2020Activity: Talk or presentation types › Oral presentation