Dr Mehrdad Asgari

Director of Studies in Chemical Engineering and Biotechnology at Lucy Cavendish College, University of Cambridge | Tutor | Researcher in Chemical Engineering, Materials Science, and AI-Driven Discovery

I am one of the Directors of Studies at Lucy Cavendish College, University of Cambridge, where I oversee the academic programme in Chemical Engineering and Biotechnology, and I also contribute to the wider academic life of the College as a Tutor.

My research and academic initiatives sit at the interface of chemical engineering, materials science, chemistry, and data-driven discovery. I work on porous materials, adsorption and separation processes, catalysis, structure–property relationships, and the use of AI and data-driven methods for chemistry and engineering applications, including molecular and materials design.

I am particularly interested in research directions that combine scientific depth with practical relevance for both academic and industrial audiences, including AI for chemistry, process modelling, sustainable materials, and advanced separation technologies.

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Research Themes

My work spans metal–organic frameworks and porous materials, adsorption and separation science, process modelling, catalysis, data-driven modelling in chemical engineering and materials science, interpretable machine learning, and structure–property relationships in complex chemical systems.

AI, Chemistry, and Engineering

A major current direction of my work is the development and application of AI and data-driven techniques for chemistry, chemical engineering, and materials science. This includes molecular and materials design, AI-assisted discovery for chemistry problems such as dye development, and computational frameworks for extracting useful scientific insight from complex chemical datasets.

Academic and Industrial Relevance

I am interested in scientifically rigorous, interpretable, and solution-oriented research that can speak both to the academic community and to industrial needs. My broader aim is to connect fundamental understanding with useful engineering and chemical outcomes.

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