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Andrew Tarzia

Dr.

  • Assistant Professor of Computational Chemistry for Synthesis & Materials, Chemistry
20162026

Research activity per year

Personal profile

Biography

Andrew completed his PhD (2015-2019) at the University of Adelaide in Australia under the supervision of David Huang and Christian Doonan, with support from the CSIRO and supervision from Aaron Thornton. Here he developed high-throughput screening methods for metal-organic frameworks.

Andrew then moved to London for a postdoc in Kim Jelfs’ Materials Group at Imperial College London (2019-2022), where he worked on the development of software and methods for the efficient screening of coordination cages and other molecular materials.

In May 2022, Andrew started a postdoc position in the Pavan lab at Politecnico di Torino in Turin, Italy. In December 2022, he was awarded a Fixed-term assistant professor (RTD-a) position funded by the National Recovery and Resilience Plan (PNRR) and the EU working on the rational design of (supra)molecular materials and was hosted in the Pavan Lab.

In August 2025, Andrew moved to the University of Birmingham as an Assistant Professor.

Research interests

Andrew uses computational chemistry and physics-based models to tackle the challenge of predicting the structure of self-assembled cages and their supramolecular properties. 

Find more information about the group's research here: https://tarziaresearchgroup.github.io

The research interests of the group in this space are: 

i) Develop algorithms that explore the many possible structural outcomes of self-assembly in an efficient way starting from only experimental inputs 

ii) Implement high-throughput supramolecular property prediction methodology, towards designing catalysts and sensors 

iii) Traverse multiple model scales using automated workflows that best use computational resources to improve decision-making 

By bringing all of this together in user-friendly software, integrated into experimental processes, Andrew’s research will help minimise the cost of materials discovery and improve software accessibility, bringing state-of-the-art computational methods to a broader audience. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

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