Professor Daniel Markl
Strathclyde Institute of Pharmacy and Biomedical Sciences
Prize And Awards
- Recipient
- 2020
- Recipient
- 2020
- Recipient
- 2019
- Recipient
- 2016
- Recipient
- 2010
Publications
- Cook Graham, Houson Ian, , Maloney Andrew GP, Schlindwein Walkiria,
- International Journal of Pharmaceutics (2026)
- , Zeng Xiaorui, Powell Daniel, Nassar Marwa, Teckoe Jason, , Zeitler J Axel
- International Journal of Pharmaceutics Vol 701 (2026)
- , , , , , ,
- STYL鈥橭NE User Group 2026 (2026)
- , Mann James, Winge Fredrik, Davis Adrian, Hens Bart, , Virrankoski Milena, DeAngelis Austin,
- International Journal of Pharmaceutics Vol 701 (2026)
- , , Hou Peter, , , , , Portela Victor, Boulay Quentin, Thiolliere Roland, Stark Ashley, Schwartz Jean-Jacques, Guerin Jerome, Maloney Andrew GP, Moldovan Alexandru A, Reynolds Gavin, Mantanus J茅r么me, Clark Catriona, Chapman Paul, ,
- Nature Communications Vol 17 (2026)
- , Reynolds Gavin, Yates Catherine, , Upadhyay Pratik P, ,
- International Journal of Pharmaceutics Vol 697 (2026)
Research Interests
Our laboratory conducts multidisciplinary research at the intersection of materials, processes, products, and performance, with the goal of transforming how medicines are designed, developed, and manufactured. We seek to establish a fundamental, predictive understanding of how material properties and processing conditions jointly determine product structure, quality, and performance.
Central to our approach is the coupling of self-driving laboratories, advanced measurement techniques, and digital process and product design. By integrating automation, high-throughput experimentation, real-time analytics, and data-driven modeling, we aim to dramatically accelerate development timelines while improving robustness, efficiency, and knowledge generation across the pharmaceutical lifecycle.
Our research includes the development of predictive systems, in-silico design methods, and autonomous experimental platforms for drug product development and manufacturing. These tools enable rapid exploration of complex formulation and process spaces, support rational decision-making, and reduce reliance on trial-and-error experimentation. Ultimately, our work lays the foundation for adaptive, intelligent manufacturing systems that deliver higher-quality medicines more efficiently and reliably.
Professional Activities
- Contributor
- 12/5/2026
- Contributor
- 12/5/2026
- Speaker
- 2025
- Speaker
- 2025
- Speaker
- 2025
- Speaker
- 2024
Projects
- Markl, Daniel (Principal Investigator) Florence, Alastair (Co-investigator)
- 01-Jan-2025 - 30-Jan-2026
- Markl, Daniel (Principal Investigator) Florence, Alastair (Co-investigator) Johnston, Blair (Co-investigator)
- 01-Jan-2025 - 31-Jan-2026
- Nordon, Alison (Principal Investigator) Littlejohn, David (Co-investigator) Markl, Daniel (Co-investigator)
- 01-Jan-2025 - 30-Jan-2025
- Fitzpatrick, Stephen (Principal Investigator) Florence, Alastair (Principal Investigator) Florence, Alastair (Co-investigator) Johnston, Blair (Co-investigator) Markl, Daniel (Co-investigator)
- 01-Jan-2025 - 30-Jan-2025
- Markl, Daniel (Principal Investigator) Macdonald, Janine (Co-investigator)
- 25-Jan-2024 - 19-Jan-2024
- 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
Contact
Professor
Daniel
Markl
Strathclyde Institute of Pharmacy and Biomedical Sciences
Email: daniel.markl@strath.ac.uk
Tel: 444 7115