Roman Marchant

Panel: AI, Education Policy and the Future of Learning

2:00pm – 3:00pm

 

Bio

Associate Professor Roman Marchant is a Lead Research Scientist with a strong background in probabilistic Machine Learning (ML) and Bayesian methods for decision-making under uncertainty. With a deep understanding of the ethical issues associated with new technology, Roman is committed to leveraging innovative methodologies while ensuring positive social impact and responsible decision-making. Throughout his career, Roman has made significant contributions to the field of ML and data science, particularly in the development of novel methodologies for environmental monitoring using drones and the application of machine learning in social sciences. Notably, Roman organised the first Ethics of Data Science Conference in Australia, bringing together academia, industry, and the community to address issues of fairness, transparency, and accountability in data-driven technologies. As a lead scientist within the Thrive: Finishing School Well Program, Roman spearheads research, design, and development efforts to understand the factors contributing to educational disadvantage, school non-completion and individual well-being.

 

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