Dr. Andrew Angus

Andrew Angus is a computational scientist with a strong interdisciplinary background in mathematical modelling, chemical engineering, and sustainable energy technologies. Originally from the remote north coast of Scotland, Andrew began his academic journey at Heriot-Watt University, where he earned an MEng in Chemical Engineering with a specialisation in Energy Engineering. His outstanding academic performance earned him the Watt Club Medal for highest overall achievement and recognition for exceptional Master's research.

Driven by a passion for complex systems and computational methods, Andrew joined the EPSRC Centre for Doctoral Training in Modelling of Heterogeneous Systems at the University of Warwick. His doctoral research focused on probabilistic modelling of laser-driven nuclear fusion, developing novel multi-scale algorithms using Bayesian machine learning techniques. He graduated with the Excellence in HetSys Training Prize, awarded for achieving the highest average across the programme's taught modules.

Since completing his PhD, Andrew has continued to apply his expertise in the field of sustainable energy. At WMG, University of Warwick, he developed open-source software to model hydrogen pipeline permeation. He also worked as an AI Data Modelling Developer at Powerstar, where he conducted data-driven modelling for battery energy storage systems and renewable energy integration.

Andrew is committed to open science and collaborative software development, actively contributing to the research community through his current role at the University of Warwick, as Research Fellow. His key skills include Bayesian modelling, high-performance computing, predictive modelling, and scientific software engineering.

As part of the HetSys alumni community, Andrew remains closely engaged with research and innovation in the energy transition and is keen to support the next generation of scientists.