Michael Paris

Michael is a data scientist with a PhD in Web Science and a background in theoretical physics, specialising in large scale analysis of web content and collaborative knowledge production. His doctoral research examined measurable patterns of content creation on the academic web using large scale web archive analysis and economic production theory.His work focuses on distributed data processing, web scale analysis, and machine learning applications, with experience in Python, Spark, and web archiving technologies. He is interested in understanding how information is produced, organised, and evolves across the web.