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Jonathan Law

Jonathan is a PhD student in the EPSRC CDT in Cloud computing for Big Data at Newcastle University. Previously he attained a BSc (Hons) in Mathematics from the University of York.

Jonn'y PhD topic is Scalable Bayesian Inference of Streaming Data. Jonny is using data from the Urban Observatory to analyse real-time data and create smarter living spaces and develop scalable statistical algorithms for analysing data in the cloud.

Previous employment: Customer Insight Analyst at Plusnet - developing predictive models for campaign response, customer attrition and call rates using a combination of R and SQL (MySQL and MSSQL).

Research interests: Bayesian inference, Scala, large distributed data processing

Find out more about Jonny's research here. https://www.youtube.com/watch?v=a7Et2C2PE1Q&list=PLH-UxM-Y15-LOcgvdHhavJbA1v7TZmFd8&index=1 

In his spare time he enjoys running, playing darts and socialising with friends.

Publications

Poster Presentation "Composable Markov Process Models for Streaming Data”, 2016, at ISBA (International Society for Bayesian Analysis)

 

Credit to Thomas Jackson and John Hill for the research videos.