I am a data scientist and a Scientia Fellow at the City Futures Research Centre. I currently work alongside PEXA, in which my research is focussed on developing new tools that leverage machine-learning and artificial intelligence to enhance property market analysis across Australia. Prior to this, my research on developing new methods of secure and transparent automated valuation models for different land and property assets with the Commonwealth Bank. This work led to a new patent, which was commercialised and sold in 2022.
At the City Futures Research Centre, I'm a fellow in urban analytics. My interest lies in exploring how urban structures function, looking at the connections between transport, demographics, and economic networks, and how these influence urban changes like decay, renewal, and gentrification. Additionally, I am also the Regional Lead in Asia Pacific for the Colouring Cities Research Programme based out of the Alan Turing Institute in London. This programme focuses on making urban data more accessible and encouraging the collection of new data through citizen science and partnerships with official data custodians.
I received my PhD from the UCL Bartlett Centre for Advanced Spatial Analysis, an MSc in International Planning from UCL Bartlett, and a BSc (Hons) in Biology from the University of Manchester.
I am open to research students with interests aligned to my own.
2022, 'Digital Transformations in Planning: An Australian Context', in Mori H; Yoshida T; Anttiroiko A-V (ed.), City, Public Value, and Capitalism New Urban Visions and Public Strategies, Northwestern Roberta Buffett Institute for Global Affairs, Evanston, Illinois, pp. 221 - 237, http://dx.doi.org/10.21985/n2-w74g-x218
,2021, 'Understanding the Economic Value of Walkable Cities', in Urban Informatics and Future Cities, Springer Nature, pp. 277 - 299, http://dx.doi.org/10.1007/978-3-030-76059-5_15
,2023, 'Implementing a deep-learning model using Google street view to combine social and physical indicators of gentrification', Computers, Environment and Urban Systems, 102, pp. 101970, http://dx.doi.org/10.1016/j.compenvurbsys.2023.101970
,2023, 'Building a predictive machine learning model of gentrification in Sydney', Cities, 134, pp. 104192, http://dx.doi.org/10.1016/j.cities.2023.104192
,2023, 'Incorporating diminishing returns to opportunities in access: Development of an open-source walkability index based on multi-activity accessibility', Journal of Transport and Land Use, 16, pp. 361 - 387, http://dx.doi.org/10.5198/jtlu.2023.2308
,2022, 'Characterising Land Cover Change in Brunei Darussalam’s Capital District', Applied Spatial Analysis and Policy, 15, pp. 919 - 946, http://dx.doi.org/10.1007/s12061-021-09429-9
,2022, 'The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices', ISPRS International Journal of Geo-Information, 11, pp. 413, http://dx.doi.org/10.3390/ijgi11070413
,2022, 'Big Data: The Engine to Future Cities—A Reflective Case Study in Urban Transport', Sustainability (Switzerland), 14, pp. 1727, http://dx.doi.org/10.3390/su14031727
,2022, 'Spatial Variability of the ‘Airbnb Effect’: A Spatially Explicit Analysis of Airbnb’s Impact on Housing Prices in Sydney', ISPRS International Journal of Geo-Information, 11, pp. 65, http://dx.doi.org/10.3390/ijgi11010065
,2021, 'Short-Term Rental Platform in the Urban Tourism Context: A Geographically Weighted Regression (GWR) and a Multiscale GWR (MGWR) Approaches', Geographical Analysis, 53, pp. 686 - 707, http://dx.doi.org/10.1111/gean.12259
,2022, 'Colouring Australia: a participatory open data platform', in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS International Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Sydney, pp. 229 - 235, presented at 7th Smart Data Cities & 17th 3D GeoInfo, Sydney, 19 October 2022, http://dx.doi.org/10.5194/isprs-annals-X-4-W3-2022-229-2022
,2022, 'Walking accessibility: a new method and comparison of two capital cities', Universities’ Transport Study Group, Edinburgh, presented at 54th Annual Universities’ Transport Study Group, Edinburgh, 04 July 2022
,2024, Wicks Road South: Key Metrics and Implications for Macquarie Park Corridor
,2023, Gender, Housing Insecurity and Homelessness in Australia: Data Insights, Australia, https://www.ywca.org.au/gender-housing-insecurity-and-homelessness-in-australia-data-insights/
,2023, Regional NSW Housing Metrics - Final project report
,2023, Regional NSW Housing Metrics - Consultation report
,2023, Regional NSW Housing Metrics - Draft metrics report
,2023, A blueprint to tackle Queensland's housing crisis, Queensland Council of Social Services, Brisbane, https://www.qcoss.org.au/publication/report-a-blueprint-to-tackle-queenslands-housing-crisis/
,2022, Housing Delivery Targets and Benchmarks in New South Wales
,2021, Data Driven Vulnerability Outlook on Beirut’s Neighborhoods, https://www.undp.org/lebanon/data-driven-vulnerability-outlook-beirut%E2%80%99s-neighborhoods-0
,2022, Digital models and tools for valuation of land and property, Patent No.
,2021, Building a predictive machine learning model of gentrification in Sydney, , http://dx.doi.org/10.31235/osf.io/hkc96
,2021, Spatial Variability of the ‘Airbnb Effect’: A Spatially Explicit Analysis of Airbnb's impact on Housing Prices in Sydney, , http://dx.doi.org/10.31235/osf.io/cw2a9
,2021, Digital Transformations in Planning: An Australian Context, , http://dx.doi.org/10.31235/osf.io/5k4sz
,2021, The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices, , http://dx.doi.org/10.31235/osf.io/2psk5
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