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Steven Reece

Dr Steven Reece is a departmental research fellow in machine learning in the Department of Engineering Science.

Areas of interest

Machine learning methodologies for multi-sensor data fusion: Bayesian approaches; transfer learning; active learning; deep learning, particularly for situation assessment and risk analysis in natural disaster management and environment protection applications. 

Why is Oxford a good place to work in AI? 

Oxford University has many of the world's top machine learning (ML) experts and leads foundational research in a wide range of areas in AI. A flat hierarchy and strong emphasis on scientific advancement ensures a very productive and enjoyable working environment. Our ML researchers can and do engage in multi-disciplinary projects, with a wide array of departments, within the University and beyond. Considerable impact through collaborations with industrial partners, governments and NGOs is well supported through established networks, University-wide networking initiatives and the University's commercialisation support company.

What do you think is the biggest opportunity or challenge around AI? 

Challenge: Developing efficient, scalable yet principled methods for model inference in a world awash with data. 

Opportunity: The discovery of influences and patterns in high-dimensional, heterogeneous data that provide new insights into complex physical processes, that disrupt and ultimately improve our understanding of the world in which we live.

More about Steve

www.robots.ox.ac.uk/~reece


Steven Reece
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