Doctor 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 糖心视频, 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.听 He joined Strathclyde University in 2014 and has been through many roles as research associate, research fellow, and Chancellor鈥檚 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 糖心视频.
Contacts:
cameron.brown.100@strath.ac.uk
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Prize And Awards
- Recipient
- 2024
Publications
- Houson Ian, , , Robertson Murray, Turner Alice J, , Osman Amal, Galindo Amparo, Dunn Andrew S, , Benyahia Brahim, , , Price Chris J, Reilly Chris D, Adjiman Claire S, Jackson George, , , , , McGinty John, , Smith Kenneth, , , , Pathan Momina, Rajoub Nazer, , , , Urwin Stephanie J, Bernet Thomas, , Li Wei,
- International Journal of Pharmaceutics Vol 686 (2025)
- , Turner Alice J, Urwin Stephanie J, Houson Ian, , , Al Qaraghuli Mohammed M, , Robertson Murray, , , , , Adjiman Claire, , Benyahia Brahim, Bresciani Massimo, , , Cottini Ciro, Dunn Andrew S, Fradet David, , Henson Mark, Hidber Pirmin, Langston Marianne, Lee Ye Seol, Li Wei, Mantanus J茅r么me, McGinty John, Mehta Bhavik, , Ottoboni Sara, , Quist Per-Ola, Reynolds Gavin K, Rielly Chris, Rowland Martin, Schlindwein Walkiria, Schroeder Sven LM, , Settanni Ettore, , Smith Kenneth, Smith Rachel, Srai Jagjit Singh, Thorat Alpana A, Vassileiou Antony,
- International Journal of Pharmaceutics Vol 681 (2025)
- , Leghrib Youcef, Weisshaar Matt, Gonacharuk Mikhail, Timperman Peter, Doherty Timothy, Ford David D, Moores Jonathan, ,
- Digital Discovery Vol 4, pp. 2025-2032 (2025)
- Wu Kai Eivind, , Robertson Murray, , Lloyd Rhys, Panoutsos George
- European Journal of Pharmaceutical Sciences Vol 210 (2025)
- , ,
- (2025)
- , ,
- CMAC Open Day 2025, pp. 9 (2025)
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
- Peer reviewer
- 20/2/2025
- Peer reviewer
- 19/3/2024
- Peer reviewer
- 28/2/2024
- Peer reviewer
- 17/1/2024
- Peer reviewer
- 9/1/2024
- Peer reviewer
- 14/12/2023
Projects
- Florence, Alastair (Principal Investigator) Brown, Cameron (Co-investigator) Awan, Muhammad Asfand Yar (Research Co-investigator)
- 01-Jan-2025 - 01-Jan-2029
- Florence, Alastair (Principal Investigator) Brown, Cameron (Co-investigator) Cardona Amengual, Javier (Co-investigator) Johnston, Blair (Co-investigator) Markl, Daniel (Co-investigator) Nordon, Alison (Co-investigator) Robertson, John (Co-investigator) Sefcik, Jan (Co-investigator)
- 01-Jan-2024 - 30-Jan-2031
- Brown, Cameron (Principal Investigator) Dolean Maini, Victorita (Co-investigator) Johnston, Blair (Co-investigator)
- 01-Jan-2024 - 28-Jan-2026
- Nelson, David (Principal Investigator) Brown, Cameron (Co-investigator)
- 01-Jan-2024 - 12-Jan-2026
- 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-Jan-2023 - 01-Jan-2027
- Brown, Cameron (Principal Investigator) Florence, Alastair (Co-investigator) El-Habbak, Omar (Research Co-investigator)
- 01-Jan-2023 - 01-Jan-2027
Contact
Doctor
Cameron
Brown
Reader
Strathclyde Institute of Pharmacy and Biomedical Sciences
Email: cameron.brown.100@strath.ac.uk
Tel: Unlisted