Julio Amador
Assistant Professor, Game Theroy and Machine Learning at The London School of Economics and Political Science
Research Associate at Imperial College London
Schools
- Imperial College London
- The London School of Economics and Political Science
Links
Biography
The London School of Economics and Political Science
Julio holds a PhD in economics from the University of Essex. His area of expertise is applied game theroy and machine learning. Julio has held different research positions, both in the UK and abroad, and was previously a research associate at Imperial Business Analytics, a laboratory held together by Imperial College’s Data Science Institute and Business School.
Julio's research includes big-data studies of online political participation and applying machine learning to categorize public opinion and automatically identifying fake news. Julio is currently dedicated to the study of misinformation.
Key Expertise
- Machine Learning, Misinformation, Game Theory
Languages
- English
Education
- PhD University of Essex (2009 — 2012)
- MSc University of Essex (2008 — 2009)
- BA Tecnológico de Monterrey (2004 — 2008)
Publications
Fernando S, AmadorDíazLópez J, Şerban O, Gómez-Romero J, Molina-Solana M, Guo Yet al., 2020, Towards a large-scale twitter observatory for political events, Future Generation Computer Systems, Vol: 110, Pages: 976-983, ISSN: 0167-739X
Oehmichen A, Hua K, Diaz Lopez JA, Molina-Solana M, Gomez-Romero J, Guo Y-Ket al., 2019, Not All Lies Are Equal. A Study Into the Engineering of Political Misinformation in the 2016 US Presidential Election, IEEE ACCESS, Vol: 7, Pages: 126305-126314, ISSN: 2169-3536
Molina-Solana M, Kennedy M, Amador Diaz Lopez J, 2018, foo.castr: visualising the future AI workforce, Big Data Analytics, Vol: 3, ISSN: 2058-6345
Piña-Garcia CA, Siqueiros-Garcia JM, Robles-Belmont E, Carreon G, Gershenson C, Amador Diaz Lopez JCet al., 2017, From Neuroscience to Computer Science: A Topical Approach on Twitter, Journal of Computational Social Science, ISSN: 2432-2717
Amador Diaz Lopez JC, Collignon-Delmar S, Benoit K, Matsuo Aet al., 2017, Predicting the Brexit Vote by Tracking and Classifying Public Opinion Using Twitter Data, Statistics, Politics and Policy, Vol: 8, ISSN: 2151-7509
Lpez JCAD, Pia-Garca CA, 2017, Political participation in Mexico through twitter, Studies in Computational Intelligence, Vol: 693, Pages: 607-618, ISSN: 1860-949X
Amador Diaz Lopez JC, Piña García C, 2017, Political Participation in Mexico Offline and Through Twitter, Online Communities As Agents of Change and Social Movements, Editors: Gordon, Publisher: Information Science Reference, ISBN: 9781522524953
Amador J, Oehmichen A, Molina-Solana M, Characterizing Political Fake News in Twitter by its Meta-Data
Imperial College London
Summary
Julio holds a BSc in economics from Tecnologico de Monterrey and an MSc and PhD in economics from the University of Essex, UK. His area of expertise is social and economic networks. At Essex, he worked under the supervision of Prof. Andrea Galeotti, where he dedicated himself to the study of games in networks. Julio has participated as a research assistant to Prof. Galeotti at the EssexLab, where they conducted experiments on trading in social networks. Furthermore, he collaborated as a research fellow at the Department of Government at the University of Essex, where he carried out quantitative analysis of public opinion. Julio has held positions of assistant professor at CIDE and part-time lecturer at EGADE Business School. He is now research associate at Imperial Business School where he is currently dedicated to study advertising in social networks, micro-finance and data-mining algorithms.
Videos
MAK'IT - Presentation video - Julio Adamor (COHORT 2020-2021)
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