Dr Sarah Goodwin is a Senior Lecturer within Monash's Embodied Visualisation (previously Immersive Analytics) research group. Her research seeks to create innovative visual analytical solutions for complex, multi-dimensional and/or geospatial data sets as well as to improve user-centred visualisation design methodologies. 

She is passionate about helping to harness data effectively for a more sustainable future. She helps drive innovative, practical and feasible solutions, which can have immediate impact in the energy sector, as co-Director of Research for the Monash Grid Innovation Hub. She is a member of the Monash Energy Institute and was previously the deputy IT for Sustainable Energy theme lead for Monash Faculty of Information Technology. 

She is co-General Chair for IEEE VIS 2023, brining the largest international visulisation conference to Australia. She also runs two international workshop series on 'Energy Data Visualisation' (EnergyVis) and 'Urban Data Visualisation' (CityVis) and has been on various program committees including IEEE InfoVis and IEEE PacificVis.

She teaches data visualisation to around 1000 students per year and supervises a long list of PhD, Masters and Honours students. 

She has over 20 years experience in the field of geospatial analysis and information visualisation in professional and academic roles; as a GIS technician, geo-data analyst, consultant and an academic 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,  Geospatial Science Department at RMIT University, Melbourne and now with the Immersive Analytics Lab / Embodied Visualisation group, Monash University.

• 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

Lecturer

S1/S2 2020, S1/S2 2021, S1/S2 2023 (Lecturer / CE): FIT5147 Data Exploration and Visualisation  (postgraduate elective, manadatory for advanced Data Science pathway)

S1/S2 2019; S2 2018: FIT5125/FIT5143/FIT4005 Research Methods in Information Technology (All hons/masters/phd research component students)

Previously at RMIT University:

S1 2018 ONPS2335: The Professional Scientist (UG3), RMIT ONPS2334 Science Skills & Communication (UG1), and GEOM2334 Geospatial Science & Communication Skills (UG1). All Core subjects. 

S2 2017 GEOM2069 Cartography and Visualisation (RMIT) - Elective postgraduate

S1 2017 GEOM2079 Cartography 2 (RMIT) - Core UG2