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Dr Rohitash Chandra is a Senior Lecturer in Data Science at the UNSW School of Mathematics and Statistics. He leads a program of research encircling methodologies and applications of artificial intelligence. The methodologies include Bayesian deep learning, neuro-evolution, ensemble learning, and data augmentation. The applications include climate extremes, geoscientific models, mineral exploration, biomedicine, and COVID-19 where the focus has been drug selection, infection forecasting, and social media-based language modelling. Dr Chandra has also pioneered the area of language models for studying ancient religious-philosophical texts. Dr Chandra has developed novel methods for machine learning inspired by neural systems and learning behaviour that include transfer and multi-task learning, with the goal of modular deep learning. Dr Chandra used machine learning and remote sensing for mineral exploration and is currently focusing on critical metals. He has been using machine learning for climate extremes and currently developing a model for decadal forecasts of high-category cyclones.