The AMU Faculty of Chemistry cordially invites you to a lecture by Dr Andrew Tarzia entitled Unbiased Structure Prediction of Molecular Cages.
The lecture is scheduled for 2 March 2026 at 11:00 a.m. and will take place at the AMU Centre for Advanced Technologies (D-111.3, 1st floor).
Dr Andrew Tarzia is an independent Assistant Professor of Computational Chemistry for Synthesis & Materials at the University of Birmingham, UK, focusing on the integration of computational tools for molecular materials design with experimental activities.
He is the author of 32 scientific publications (h-index: 19; number of citations: 1833; Scopus).
Dr Tarzia's scientific achievements: https://scholar.google.com/citations?hl=en&user=nq-0qWgAAAAJ
Dr Tarzia uses computational chemistry and physics-based models to tackle the challenge of predicting the structure of self-assembling cages and their supramolecular properties.
His team's research interests include:
- developing algorithms enabling effective investigation of various possible structural variants arising in self-organisation processes, based solely on experimental data,
- implementing high-throughput methods for predicting supramolecular properties, aimed at designing catalysts and sensors,
- combining models operating on multiple scales using automated workflows, allowing for optimal use of computational resources and streamlining the decision-making process.
By integrating all these elements into user-friendly software directly linked to experimental processes, Dr Tarzii's research contributes to reducing the cost of discovering new materials and increasing the availability of advanced computational tools, making modern methods accessible to a wide audience.
Attached is a summary of the lecture and Dr Andrew Tarzia's CV.
