Personal profile

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

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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.

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):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure

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