2021
Non-traditional data-driven approaches to epidemiology
University College London, AI Centre
Tracking COVID-19 using online search
(multiple venues)
2019
Modelling influenza-like illness using online search
i-sense Digital Health Conference, London, UK
Transfer learning for unsupervised flu models from online search
The Web Conference (formerly WWW) 2019, San Francisco, US
Quicksort
Guest Lecture, COMP0005 Algorithms, Department of Computer Science, University College London
Topic models, vector semantics and applications
Guest Lecture, COMP0084 Information Retrieval and Data Mining, Department of Computer Science, University College London
2018
Topic models, vector semantics and applications
Guest Lecture, COMPM052 Information Retrieval and Data Mining, Department of Computer Science, University College London
Mining online data for public health surveillance
Guest Lecture, CS909 Data Mining, Department of Computer Science, University of Warwick
2016
User-generated content mining: From collective disease rates to individual demographics
Language Technology Lab Seminars, University of Cambridge
Mining socio-political and socio-economic signals from social media content
Summer School on Big Data & Networks in Social Sciences, University of Warwick
User-generated content: collective and personalised inference tasks
Invited Talk, Department of Computer Science, University of Copenhagen, Denmark
An introduction to digital health surveillance from online user-generated content
Guest Lecture, Web Science course, Department of Computer Science, University of Copenhagen, Denmark
Inferring the socioeconomic status of social media users based on behaviour and language
ECIR '16 (Padova, Italy)
2015
Assessing the impact of a health intervention via user-generated Internet content
ECML PKDD '15, Journal Track (Porto, Portugal)
Extracting Interesting Concepts from Large-Scale Textual Data
Invited Talk, New Frontiers of Automated Content Analysis in the Social Sciences (ACA), University of Zurich
Mining the Social Web: A series of statistical NLP case studies
WISC Seminar, Department of Computer Science, University of Warwick
Bilinear Text Regression and Applications
Invited Lecture, CS909 Data Mining, Department of Computer Science, University of Warwick
Learning about health and medicine from Internet data
Tutorial at WSDM '15 (Shanghai, China)
2014
Mining the Social Web: A series of statistical NLP case studies
NLIP Group Seminars, Computer Laboratory, University of Cambridge
Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly
ACL '14 Workshop on Language Technologies and Computational Social Science (LACSS)
Bilinear Text Regression and Applications
NLP Seminars, Cognitive and Language Processing Systems Group, University of Sussex
Predicting and Characterising User Impact on Twitter
EACL '14 (Gothenburg, Sweden)
2013
A user-centric model of voting intention from Social Media
ACL '13 (Sofia, Bulgaria)
Can Social Media tell us something about our lives?
Media Futures Research Group Seminars, UCL
2012
Detecting Events and Patterns in the Social Web with Statistical Learning
NLP Seminars, University of Sheffield
Detecting Events and Patterns in the Social Web with Statistical Learning
Royal Statistical Society, London
2010
Flu Detector - Tracking Epidemics on Twitter
ECML PKDD '10 (Barcelona, Spain)
Tracking the flu pandemic by monitoring the Social Web (June, 2010)
CIP '10 (Elba Island, Italy)