Damiano Spina
Evaluation And Measurement Enabler Co-Lead
Melbourne, Victoria, Australia
Summary
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Senior🎓
Top SchoolDamiano Spina is an experienced researcher-practitioner in information retrieval, NLP and text analytics with 11 years of experience bridging academic research and applied data science. Based in Melbourne, he is Senior Lecturer at RMIT, Associate Investigator at the ARC Centre for Automated Decision-Making and Society, and co-leads evaluation and measurement at CHAI while heading RMIT’s role in the national Australian Internet Observatory. His work focuses on measuring information environments—misinformation flows, communication patterns in crises, and automated decision impacts—combining rigorous PhD-level methods with practical tooling for large-scale social data. A former DECRA fellow, he has moved fluidly between academia and industry roles (including Signal AI and Telefonica), which gives him a strong track record of turning research prototypes into operational analytics. Beyond research, he’s active in interdisciplinary infrastructure projects and brings a cultural flare as a capoeirista and sambista, reflecting a collaborative, creative approach to team science.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Universidad Nacional de Educación a Distancia - U.N.E.D.Ingeniero Informática, Ingeniero Informática at Universidad Complutense de Madrid
Spanish, English, Italian, Portuguese
Github Skills (36)
user-preferences10
summaries10
datasets10
data-quality9
podcast9
fact-checking9
open-datasets9
crowd8
topic-detection8
similarity7
lda7
filtering6
scale6
entity6
open-source6
Programming languages (4)
Github contributions (5)
jCarrilloDeAlbornoz/RBU
Apr 2018 - Sep 2021
Contributions:6 commits, 7 pushes, 1 branch in 3 years 5 months
damiano/podcastsummaries
Dec 2015 - Aug 2021
Dataset used to analyze user preferences of podcast summaries
Contributions:23 commits, 30 pushes, 2 branches in 5 years 8 months
podcastuser-preferencesdatasetsummariesanalyze
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