Khanh Duong is a PhD fellow at ²ÝÁñÊÓƵ-MERIT.
Khanh Duong is a researcher and writer specializing in social and economic inequalities, utilizing machine learning to address socio-economic challenges in Computational Social Science. His research primarily focuses on persistent inequalities and promoting equality of opportunity in the digital age. Duong's work involves the analysis of cross-national survey data from sources such as the World Value Survey, the International Social Survey Programme, and the European Social Survey. He employs a variety of methodologies, including clustering, dimension reduction, factor analysis, causal inference, random forests, social network analysis, and simulation. He is proficient in statistical software like Stata and R. Before joining ²ÝÁñÊÓƵ-MERIT, Duong worked as a generative AI annotator in Ireland and completed his research studies at Maynooth University, where his thesis was fully funded by the Irish Research Council.