Dr Cameron Brown

Senior Lecturer

Strathclyde Institute of Pharmacy and Biomedical Sciences

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.


Comparative studies of powder flow predictions using milligrams of powder for identifying powder flow issues
Deng Tong, Garg Vivek, Pereira Diaz Laura, Markl Daniel, Brown Cameron, Florence Alastair, Bradley Michael SA
International Journal of Pharmaceutics Vol 628 (2022)
Digital design of filtration and washing of active pharmaceutical ingredients via mechanistic modelling
Ottoboni Sara, Brown Cameron J, Mehta Bhavik, Jimeno Guillermo, Mitchell Niall A, Sefcik Jan, Price Chris J
Organic Process Research and Development (2022)
Temperature correction of spectra to improve solute concentration monitoring by in situ ultraviolet and mid-infrared spectrometries towards isothermal local model performance
Chong Magdalene WS, McGlone Thomas, Chai Ching Yee, Briggs Naomi E B, Brown Cameron J, Perciballi Francesca, Dunn Jaclyn, Parrott Andrew J, Dallin Paul, Andrews John, Nordon Alison, Florence Alastair J
Organic Process Research and Development Vol 26, pp. 3096-3105 (2022)
Autonomous DataFactory : high-throughput screening for large-scale data collection to inform medicine manufacture
Pickles Thomas, Mustoe Chantal, Brown Cameron, Florence Alastair
British Journal of Pharmacy Vol 7 (2022)
Integrated filtration and washing modelling of active pharmaceutical ingredients and impurities
Ottoboni S, Mehta B A, Gramadnikova E, Brown C J, Mitchell N A
13th World Filtration Congress (2022)
Impurity removal during filtration and washing – a mechanistic modelling approach
Ottoboni Sara, Mehta Bhavik, Gramadnikova Ekaterina, Brown Cameron, Mitchell Niall
13th World Filtration Congress (2022)

More publications

Professional activities

Evaluation of Deep Learning methods for particle characterisation from in-line imaging and chord length distribution measurements
Digital Design of End-to-End Manufacturing Process for Mefenamic Acid Using Mechanistic Modelling
Digital design of end-to-end manufacturing process for Mefenamic Acid
MicroFactories: Past and future
Continuous Crystallisation
Data Mining Crystallisation Kinetics

More professional activities


NF678- Assess Continuous Crystallisation for targeted growth rate kinetics of polymorphic form and Crystallisation Kinetic Model Development for an Agrochemical Active Ingredient
Brown, Cameron (Principal Investigator)
21-Jan-2022 - 28-Jan-2023
DTP 2224 University of Strathclyde | Bjarnason, Aaron
Brown, Cameron (Principal Investigator) Florence, Alastair (Co-investigator) Bjarnason, Aaron (Research Co-investigator)
01-Jan-2022 - 01-Jan-2026
International Collaboration for Digital Design and Manufacture of Amorphous Pharmaceuticals
Florence, Alastair (Principal Investigator) Brown, Cameron (Co-investigator) Johnston, Blair (Co-investigator) Markl, Daniel (Co-investigator) Robertson, John (Co-investigator)
01-Jan-2022 - 31-Jan-2025
VisNET Collaboration Fellowship: Smartening and greening pharmaceutical manufacturing: Integrated modelling tools for efficient active pharmaceutical ingredient unit operations.
Ottoboni, Sara (Principal Investigator) Mitchell, Niall (Principal Investigator) Brown, Cameron (Principal Investigator)
As an expert in isolation and purification of active pharmaceutical ingredients (API) and an established experimentalist, during the COVID lockdown I took the opportunity to extend my research skill set to include process modelling. In-silico research is becoming an essential tool for designing manufacturing process operations with the objective of reducing R&D time and minimizing waste production. In order to advance my research and academic career I plan to expand my expertise in process modelling to become a future leader in isolation and purification combining modelling with experimentation.
PSE is the supplier of the world leading Advanced Process Modelling Platform, gPROMS, they are leading innovators in digital design services for the process industries, in particular for the pharmaceutical sector. Their existing isolation model address filtration in a relatively simplistic way compared to some of their other tools and does not currently predict washing, deliquoring, and drying outcomes.
The VisNet Fellowship will allow me to collaborate with PSE helping me to become an expert gPROMS user, able to build new isolation prediction tools and be a platform for translation to industry, to advance my research and academic career.
01-Jan-2021 - 30-Jan-2021
Doctoral Training Partnership 2018-19 University of Strathclyde | Pereira-Diaz, Laura
Florence, Alastair (Principal Investigator) Brown, Cameron (Co-investigator) Johnston, Blair (Co-investigator) Pereira-Diaz, Laura (Research Co-investigator)
01-Jan-2019 - 01-Jan-2023
KTP - Process Systems Enterprise
Brown, Cameron (Principal Investigator) Florence, Alastair (Co-investigator)
01-Jan-2019 - 30-Jan-2021

More projects


Strathclyde Institute of Pharmacy and Biomedical Sciences
Technology Innovation Centre

Location Map

View University of Strathclyde in a larger map