Prof Michael Osborne
Non‐Stipendiary Lecturer in Engineering Science
Prof Osborne is an information engineer, who more specifically works in Machine Learning (a component of Artificial Intelligence).
Prof Osborne designs intelligent systems: algorithms capable of substituting for human time and attention. Such algorithms, like humans, are faced with the task of understanding and acting upon complex, uncertain, data. He is also interested in more applied problems related to sensor networks, including fault and changepoint detection, automated observation selection and sensor placement.
He has also applied probabilistic techniques in a variety of interdisciplinary collaborations, ranging from autonomous vehicles to user interfaces, astrostatistics to zoology. Most recently, he has addressed key societal challenges, analysing how intelligent algorithms might soon substitute for human workers, and predicting the resulting impact on employment.