Dr Sarah Goodwin is a Lecturer with the Immersive Analytics Lab (IALab). Her research explores visual analytic solutions for complex, multi-dimensional and geospatial data sets. She seeks to create novel geospatial visualisation techniques and improve user-centred visualisation design methodologies.

Working closely with Monash's Energy Material and Systems Institute (MEMSI), Sarah is focusing on the exploration of novel visualisations for the energy sector at different levels (from individual households to control room scenarios). She completed her PhD research at City, University of London, where she focused on residential consumer segmentation and smart home data analysis in the UK and identified the effects of scale and geography on multivariate analysis through visualisation technqiues.

Sarah has an academic and professional background in geospatial analysis and information visualisation, having worked for over 15 years as a GIS technician, geo-data analyst, consultant and a researcher for some of the leading research centres for spatial analysis and visualisation around the world, including the giCentre at City, University of London, UK; the g2Lab at HafenCity University, Hamburg, Germany and the Geospatial Science Department at RMIT University, Melbourne.

Sarah's work on methodologies, focus on the use of creativity workshops in visualisation design studies with domain experts. Along with Energy Analysts, Sarah has worked closely with domain experts in different fields, including Epidemiologists and Spatial Modellers from Peter Doherty Institute, Melbourne University and Queensland University of Technology (2016-2017) to explore disease model and uncertainty visualisation for different user groups, as well as Constraint Programmers, within Monash's Optimisation Research Group (2015-2016), to explore visual profiling solutions for combinatorial optimisation problems.

• Infovis Design Studies and Methodologies
• Creativity Techniques and Workshops
• Geographical Information Visualisation
• Spatial Temporal Visual Analytics
• Human Computer Interaction
• Multidimensional Data Visualisation
• Geodemographics
• Uncertainty Visualisation
• Energy, Smart and Micro Grid Visualisation
• Movement and Flow Data Visualisation
• City and Urban Data Visualisation