Computational Science and the Health Program of Capital Markets CRC

Speaker: Federico Girosi

Affiliation: Western Sydney University

Time: Monday 02/11/2015 from 14:00 to 15:00

Venue: Access Grid UWS. Presented from Parramatta (EB.1.32), accessible from Campbelltown (26.1.50) and Penrith (Y239).

Abstract: The Health Program of Capital Markets CRC (CMCRC) was born by a close partnership between industry partners in the health arena and academic institutions, facilitated by CMCRC infrastructure. The program has a strong applied focus and combines elements of data mining, predictive analytics and simulation modelling with health policy, epidemiology and public health. In this talk I will describe the main research streams of the program and give examples of specific projects currently under development, while underlining open research questions of wide interest. Examples will include the design of customizable catchment areas, clustering time series, predictive modelling, text mining, analysis and design of Diagnosis Related Groups, provision of personalized health care information and microsimulation for policy analysis.

Biography: Federico Girosi is an Associate Professor in Population Health at the School of Medicine, University of Western Sydney and the Head of Research of the Health Market Quality program of Capital Markets CRC. Dr. Girosi is a health economist and a modeler, and his areas of interest include the analysis of spatio-temporal patient flows, the development of a microsimulation for the prediction of health and health care utilization, the analysis of the Australian hospital payment system, the evaluation of otitis media interventions in Aboriginal children and the burden of eating disorders. Dr. Girosi earned a Ph.D. in Health Policy from Harvard University in 2003, and worked 8 years at the RAND Corporation (Santa Monica, U.S.A.) as a policy researcher. He also holds a Ph.D. in Physics from the University of Genoa, Italy, and conducted research for 10 years at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology in the fields of statistical data analysis and computer vision.