Dr Mohammed JERAAL

Research Fellow

Mohammed obtained his master’s degree in chemistry from the University of Leeds in 2014, working on the automated development of chemical reactions in continuous flow. Mohammed undertook at a one-year placement at TATA Steel Europe as an environment chemist as part of this programme. Through a subsequent project with a leading fine chemical manufacturer, he designed and built a bespoke flow system for the continuous manufacture of bio-renewable materials. In 2019, Mohammed completed his PhD at the School of Chemical and Process Engineering at the University of Leeds. His research, under the supervision of Dr. David Harbottle and Prof. Kevin Roberts, focused on the use of X-scattering and molecular modelling techniques to understand the complex phase behaviour of multi-component synthetic surfactant systems.

Mohammed worked as a Research Fellow on the Pharma Innovation Programme Singapore (PIPS) project under Prof. Alexei Lapkin which involved the combination of automated robotic experiments, online process analytics and machine learning algorithms for the optimisation of multi-step chemical processes.

Read: CARES Alumni Series: Mohammed Jeraal



Research Interest

Key Publications

Jeraal, Mohammed I., Simon Sung, and Alexei A. Lapkin. 2021. ‘A Machine Learning‐Enabled Autonomous Flow Chemistry Platform for Process Optimization of Multiple Reaction Metrics’. Chemistry–Methods 1 (1): 71–77.

Mohammed I. Jeraal, Kevin J. Roberts, Ian McRobbie, and David Harbottle, 'Assessment of the Thermal Degradation of Sodium Lauroyl Isethionate Using Predictive Isoconversional Kinetics and a Temperature-Resolved Analysis of Evolved Gases', Industrial & Engineering Chemistry Research 2019 58 (19), 8112-8122,

M. I. Jeraal, K. J. Roberts, I. McRobbie and D. Harbottle, ‘Process-Focused Synthesis, Crystallization, and Physicochemical Characterization of Sodium Lauroyl Isethionate’, ACS Sustainable Chemistry & Engineering, 2018, 6, 2667-2675,

M. I. Jeraal, N. Holmes, G. R. Akien and R. A. Bourne, ‘Enhanced process development using automated continuous reactors by self-optimisation algorithms and statistical empirical modelling’, Tetrahedron, 2018,