Machine learning in astronomy and astrophysics

• Real-time ML/DL workflows for prioritisation and classification of astronomical objects.
• Data-mining of transient streams, and value-added contextual information.
• Bayesian deep learning for uncertainty quantification and explainability.

Transients: and what they tell us about the Universe

• The environments of supernovae, and what they tell us about massive star evolution
• Observation and characterisation of transients in the optical.