Dr Cameron Brown
Reader
Strathclyde Institute of Pharmacy and Biomedical Sciences
Personal statement
Cameron is a Reader in Digital Pharmaceutical Manufacturing 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.
He is a Chemical Engineering graduate of Heriot-Watt University, where he also obtained his PhD in the characterisation of crystallisation processes. He joined Strathclyde University in 2014 and has been through many roles as research associate, research fellow, and Chancellor’s fellow. Currently a member of the Acceleration Consortium and committee member of the British Association of Crystal Growth.
His current research is focused on the development and application of modelling approaches for pharmaceutical manufacturing, including GenAI, self-driving labs, hybrid physics/data approaches. Currently principal investigator for PharmaCrystNet and co-investigator on the Digital Design and Manufacturing of Amorphous Pharmaceuticals, Future CMAC Manufacturing Hub, Accelerated Discovery and Development of New Medicines: Prosperity Partnership and ARTICULAR. Knowledge exchange activities include pre-competitive and one-to-one projects with the leading pharmaceutical companies as well as knowledge transfer partnerships.
Currently, Cameron co-ordinates and delivers the Drug Substance Manufacturing module as part of the Advanced Pharmaceuticals Manufacturing MSc course at the University of Strathclyde.
Contacts:
cameron.brown.100@strath.ac.uk
Publications
- Optimisation of additively manufactured coiled flow inverters for continuous viral inactivation processes
- Barrera Maria Cecilia, Leech Damien, Josifovic Aleksandar, Tolouei Anita, Alford Gareth, Wallace Martin J, Bennett Nicholas, Wildman Ricky, Irvine Derek J, Croft Anna, Özcan Ender, Florence Alastair J, Johnston Blair, Robertson John, Brown Cameron J
- Chemical Engineering Research and Design Vol 213, pp. 126-136 (2025)
- https://doi.org/10.1016/j.cherd.2024.11.040
- Integration of a model-driven workflow into an industrial pharmaceutical facility : supporting process development of API crystallisation
- Pickles Thomas, Svoboda Vaclav, Marziano Ivan, Brown Cameron J, Florence Alastair J
- CrystEngComm Vol 26, pp. 4678-4689 (2024)
- https://doi.org/10.1039/d4ce00358f
- Integrated filtration and washing modelling : optimization of impurity rejection for filtration and washing of active pharmaceutical ingredients
- Mehta Bhavik A, Gramadnikova Ekaterina, Brown Cameron J, Mitchell Niall A, Ottoboni Sara
- Organic Process Research and Development Vol 28, pp. 1089-1101 (2024)
- https://doi.org/10.1021/acs.oprd.3c00480
- Integrated continuous process design for crystallisation, spherical agglomeration, and filtration of lovastatin
- Brown Cameron J, McGinty John, Islam Muhammad T, Rajoub Nazer, Arjmandi-Tash Omid, Ottoboni Sara, Shahid Muhid, Urwin Stephanie J, Lee Ye Seol, Chong Magdalene W S, Papathanasiou Foteini, Prakash Aruna S, Prasad Elke, Spence Bronwyn, Sefcik Jan, Robertson John, Smith Rachel, Litster James D, Price Chris J, Nordon Alison, Adjiman Claire S, Florence Alastair J
- Journal of Pharmaceutical Innovation Vol 19 (2024)
- https://doi.org/10.1007/s12247-024-09815-z
- Comparative study on adaptive Bayesian optimization for batch cooling crystallization for slow and fast kinetic regimes
- Pickles Thomas, Mustoe Chantal, Brown Cameron J, Florence Alastair J
- Crystal Growth and Design Vol 24, pp. 1245-1253 (2024)
- https://doi.org/10.1021/acs.cgd.3c01225
- Developing a model-driven workflow for the digital design of small-scale batch cooling crystallisation with the antiviral lamivudine
- Pickles Thomas, Mustoe Chantal, Boyle Christopher, Cardona Javier, Brown Cameron J, Florence Alastair J
- CrystEngComm Vol 26, pp. 822-834 (2024)
- https://doi.org/10.1039/D3CE00897E
Research Interests
Hybrid modelling approaches
Coupling of physics-based and data-driven modelling approaches for drug substance manufacturing process. To overall improve modelling efficiency and performance. Includes surrogate modelling and physics-informed neural networks.
Self-driving labs
Development and demonstration of self-driving labs for the development of drug substance processes. Includes automation of processes, model-based design of experiments, process analytics.
Digital driven decision making
Use of multiple coupled models and tools to inform rapid process development of pharmaceutical processes. Includes the development of these models and their deployment through GenAI and LLMs.
Professional Activities
- European Symposium on Computer Aided Process Engineering and International Symposium on Process Systems Engineering (Event)
- Peer reviewer
- 14/12/2023
- Viva examination: Predictive Design of Stable Polymer-based Amorphous Solid Dispersions
- Examiner
- 13/12/2023
- Viva examination: Analysis of nucleation kinetics in pH-shift crystallization using agitated and microfluidic systems
- Examiner
- 1/12/2023
- Quality by digital design informed by efficacy, manufacturability, and sustainability
- Speaker
- 14/11/2023
- Acceleration Consortium (External organisation)
- Advisor
- 1/11/2023
- British Association of Crystal Growth (External organisation)
- Advisor
- 1/11/2023
Projects
- PharmaCrystNet: Improving the Predictive Capabilities of Crystallisation Models in
- Brown, Cameron (Principal Investigator) Dolean Maini, Victorita (Co-investigator) Johnston, Blair (Co-investigator)
- 01-Sep-2024 - 31-Aug-2025
- Nickel Catalysis in Flow (Eli Lilly 2023)
- Nelson, David (Principal Investigator) Brown, Cameron (Co-investigator)
- 12-Mar-2024 - 11-Mar-2026
- Correlating digital and experimental chemical space to manufacturing process - linking structural data to processability
- Brown, Cameron (Principal Investigator)
- 01-Dec-2023 - 30-Nov-2027
- Correlating Digital and Experimental Chemical Space to Pharmaceutical Manufacturing Processes
- El-Habbak, Omar (Researcher) Brown, Cameron (Principal Investigator) Florence, Alastair (Principal Investigator)
- This project will deliver a novel, interpretable machine-learning model for predicting powder flow considering physical, chemical, and computed molecule/particle features. The output of this model will facilitate the rapid development of new medicines manufacturing.
- 01-Dec-2023 - 01-Dec-2027
- DTP 2224 University of Strathclyde | El-Habbak, Omar
- Brown, Cameron (Principal Investigator) Florence, Alastair (Co-investigator) El-Habbak, Omar (Research Co-investigator)
- 01-Dec-2023 - 01-Jun-2027
- NF774
- Fradet, David (Principal Investigator) Brown, Cameron (Co-investigator)
- 30-Nov-2023 - 08-Mar-2024
Contact
Dr
Cameron
Brown
Reader
Strathclyde Institute of Pharmacy and Biomedical Sciences
Email: cameron.brown.100@strath.ac.uk
Tel: Unlisted