- PhD, Climate Science, University of New South Wales, Sydney.
- MSc, Physics, University of Auckland, Auckland.
- BSc (Hons), Geophysics, University of Auckland, Auckland.
Contact Details
Biography
Neelesh's research focuses on artificial intelligence applications in climate science and weather forecasting, with a particular emphasis on using state-of-the-art generative AI algorithms to emulate high-resolution regional climate models. A central theme of his work is developing machine learning approaches that can learn and respect underlying physical laws.
He previously co-led a successfully funded MBIE Endeavour Smart Ideas project — "Combining Physics and Artificial Intelligence: A Hybrid Model for Actionable Climate Projections" — which centred on developing reliable AI methods capable of emulating regional climate models, particularly for extreme events. Neelesh is now leading a new Smart Ideas project (2025–2028) titled "Quantifying Impacts of Record-Shattering Weather Events on Critical Infrastructure under Climate Change", undertaken in collaboration with a number of international research institutes.
Further information can be found at: High-resolution climate projections using physics and AI.