معرفی
Lachlan O'Neill serves as a Research Fellow at Impact Labs, Monash University, within the Department of Data Science & AI. His interdisciplinary work bridges computational methods with social science applications, focusing on data-driven analysis of policy and media narratives.
His research centers on Natural Language Processing and Data Visualization, with specific expertise in narrative extraction, policy analysis, and time series classification. He develops innovative frameworks like CANarEx for contextually aware text analysis and narrative exploration maps for visualizing complex policy storylines, primarily applied to Australian social inequality research.
Recent publications (2022-2023) demonstrate his focus on visualizing historical and current policy narratives, contextually rich text-as-data applications, and model training optimization through techniques like slingshot learning. His highly cited 2019 work on the Proximity Forest algorithm remains influential in time series classification.
O'Neill served as Chief Investigator on the 2023 Strengthening Democracy Project funded by the Scanlon Foundation Trustee, which analyzed opportunity and disadvantage narratives through collaborative research with Angus, Dwyer, and Goodwin.
He maintains active affiliation with Impact Labs at Monash University, contributing to interdisciplinary initiatives that merge data science with societal impact research.
