All are invited to the seminar:

How and why would you do data science in health?

Dr Philippe Giabbanelli, Investigator Scientist, Centre for Diet and Activity Research (CEDAR), University of Cambridge

Large seminar room, Cambridge Institute for Public Health

About the talk

“Data science” covers a wide range of methods. These include finding patterns in the data through interactive visualizations, systematically assessing these patterns using data mining, or going beyond the data via simulations. In this talk, I will provide a broad overview of these different methods and the type of questions that they can be used for. Examples will be provided through my work in health, including research on data science in obesity and binge drinking. No prior knowledge about the methods is required as the talk aims to provide a broad introduction, but advanced questions are also encouraged.

About Dr Giabbanelli

Dr Philippe J. Giabbanelli is a data scientist by training. He has published almost 30 articles on the topic, focusing on the development and application of data science techniques in health behaviours. Philippe is currently an investigator scientist at the University of Cambridge. He also serves as associate editor for BMC Medical Informatics & Decision Making, as well as guest editor for the Journal of Intelligent Systems on a special issue devoted to intelligent healthcare systems. More here.