Raymond Xiaoteng LI

Employment experience:  

2026: Machine Learning and Algorithms Intern (BT Imaging, Australia)

2023: Project Controls and Assurances Intern (KPMG, Australia)

Education:  

2026 – Now: Doctor of Philosophy in Photovoltaic Engineering (UNSW)

2021 – 2025: Bachelor of Advanced Computer Science (UNSW)

Research interests:  

• Applied physics-informed machine learning for PV systems modelling

• Unsupervised inference of parameters, states, and forms in PV applications

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Why is your research important?  

My research aims to accelerate scientific discovery and enhance industrial deployment of machine learning by incorporating known physics-based relationships into models, or by discovering them through ML-based data analysis when they are not already known.

What do you like about research? 

I enjoy research because it gives me the freedom, time, and opportunity to make an impact that matters and that I am proud of.

What do you like to do when you are not saving the world?  

I like singing, socialising with friends, and doing martial arts.