Background
I am Amir Masoud Nourollah (Masoud), a PhD student in the School of Computer Science and Informatics at Cardiff University, where I am part of the Cardiff NLP and Knowledge Representation and Reasoning groups. I started my PhD in 2024.
My academic background spans both chemistry and computer science. I studied Chemistry (2017–2020) before moving into Computer Science, completing a Master’s degree focused on artificial intelligence and robotics (2020–2023).
Before starting my PhD, I worked in industry as a software engineer and machine learning engineer, leading AI teams across different companies and projects. My experience spans computer vision, speech processing, and natural language processing. Alongside research, I remain strongly interested in engineering practices, infrastructure, and open-source software.
Research
Broadly, I am interested in scientific machine learning (SciML), particularly for chemistry and molecular systems.
My research focuses on generalisation, interpretability, and explainability in machine learning models for scientific applications. Currently, I am investigating how machine learning models behave under distribution shifts and across chemically diverse systems, with a particular focus on molecular modelling and computational chemistry.
More generally, I am interested in robust and interpretable methods for scientific machine learning and chemistry-oriented AI systems.
Other Interests
Outside of research, I enjoy studying languages, reading history and philosophy, and exploring programming languages and Linux systems. I am currently studying French and German, and I maintain a strong interest in Persian and English literature. I also practise Muay Thai and Judo.