Reza Andalibi

Dr. Reza Andalibi is a Lecturer in Chemical Engineering at Lancaster University's School of Engineering. With a diverse academic and industrial background spanning Iran, the United States, Switzerland, and the United Kingdom, he brings a wealth of experience to his role, combining theoretical knowledge with practical applications in chemical engineering and materials science.

His educational journey includes:

• Initial studies at Sharif University of Technology in Iran
• Academic experience at Pennsylvania State University in the US
• PhD completion at the Paul Scherrer Institute and EPFL in Switzerland
• Postdoctoral research at Cambridge University in the UK (2019)

Dr. Andalibi's research expertise centers on the development and application of in-silico tools spanning molecular to macroscopic scales. His work bifurcates into two primary streams:

• Materials Research: Focusing on data analytics and predictive modeling for sustainable product development, particularly in the design and discovery of surfactant molecules with applications in pharmaceuticals, polymers, and biomolecules.
• Process Research: Concentrating on computer-aided tools for pharmaceutical manufacturing, production of formulated products, and product performance testing, including multiscale simulation of chemical processes and development of end-to-end digital twins.

Analysis of Dr. Andalibi's publication record reveals consistent focus on surfactant chemistry, deep eutectic solvents, and nanoparticle synthesis, with recent work emphasizing pharmaceutical applications. His research demonstrates progression from fundamental materials characterization to applied process development, showing strong interdisciplinary connections between chemical engineering, materials science, and computational modeling.

Dr. Andalibi has gained valuable industry experience through roles at Siemens and Unilever, complementing his academic background with practical industrial perspectives. This blend of academia and industry has honed his skills in materials and process modeling and simulation, fostering a deep understanding of both fundamental and applied research.