Tiberio Caetano

Twitter: @gradientinst

Tiberio Caetano

Tiberio has spent the last 20 years working on machine learning in numerous roles as a student, researcher, academic, entrepreneur and practitioner. He started his research career in theoretical physics as an undergraduate, following with a degree in electrical engineering and a PhD in computer science.

He has published extensively in top-tier academic journals and conferences in machine learning, graduated numerous PhD students, and collaborated widely with researchers from across the world. He held research positions in Brazil, Canada, France, and Australia, including adjunct academic appointments at the ANU, UNSW, and University of Sydney. He spent 10 years at NICTA, where he worked as a researcher, research leader, and research group manager in the machine learning group.

In 2012 he co-founded Ambiata, a data science NICTA spin-off focusing on applying rigorous scientific methodologies for personalised decision-making using machine learning, causal inference and randomised controlled trials. As Ambiata’s Chief Scientist, he led the design of decision-making algorithms that have touched millions of consumers across several industries, including banking, telecommunications, media, insurance, and retail, spanning personalised decisions from pricing and credit scoring to advertisement and product configuration.

Tiberio believes the path to a more ethical world is through a deeper understanding of the cause and effect relationships between actions and wellbeing. He is a proponent of the rigorous application of scientific thinking and methods beyond academia and into all areas of industry, government and society more broadly.

Tiberio is an advisor on the FT21 project ‘Automatic Authorities’, and a collaborator in our work on social responsible insurance in the age of AI.