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UCL Home  /  Geography  /  People  /  Academic Staff  /  Mirco Musolesi

Mirco Musolesi

Reader in Data Science

Mail address:

Department of Geography, University College London

Pearson Building Gower Street

WC1E 6BT London, United Kingdom

Room: 213

Phone: +44 (0)20 7679 0567

Email: m.musolesi [AT]

Personal website:

I am a Reader in Data Science at the Department of Geography at University College London, where I lead the Intelligent Social System Lab. I joined UCL in June 2015. I am also a Faculty Fellow of the Alan Turing Institute.

I received a Ph.D. in Computer Science from UCL in 2007 and a Master in Electronic Engineering from the University of Bologna in 2002.

Before joining UCL, I was a Reader (Senior Lecturer until February 2014) in Networked Systems and Data Science at the School of Computer Science at the University of Birmingham. From November 2009 to August 2011 I was a SICSA Lecturer at the School of Computer Science at the University of St Andrews. I did my postdoctoral work at Dartmouth College and at the University of Cambridge.

I am a computer scientist with a strong interest in sensing, modelling, understanding and predicting human behaviour and dynamics in space and time, at different scales, using the "digital traces" we generate daily in our online and offline lives. I am interested in developing mathematical and computational models as well as implementing real-world systems based on them. At UCL Geography, I lead the Intelligent Social System group.

Press Coverage

An article about Italian researchers in Cambridge (including me) + some photos of me at the Computer Lab in Il Corriere della Sera, April 2009, in Italian.

EmotionSense press coverage (September-December 2010): BBC, The Guardian, The Daily Telegraph, Daily Mail, ACM Tech News, ComputerWorld

MIT Technology Review article (December 2010) about our work on the use of temporal graph metrics for stopping malware in Bluetooth-enabled devices.

Nokia Mobile Data Challenge 2012 coverage (July/August 2012): BBC video coverage (and blog post), MIT Technology Review, Forbes, Wired, The Sunday Times, The Washington Post, Slate, MSNBC, Discovery News, Mashable, and Toronto Star. See also Nokia Blog post.

Our work on the spreading of rumours about the Higgs boson discovery on Twitter (January 2013) in The New Scientist (see also this blog entry). More videos related to the study can be found here.

Our work for the Data for Development (D4D) Challenge (May 2013) was covered by the Time Magazine, The Wall Street Journal, La Repubblica, and Mobile World Live.

Our paper on the data mining techniques for the analysis of cultural boundaries and habits in Foursquare (April 2014) was covered by MIT Technology Review. and Irish Times.

Academic Year 2016-17

GEOGG125 Principles of Spatial Analysis

[Lectures on Introduction to Statistics using R and Network Analysis]

GEOGG153 Mining Social and Geographic Datasets

The material is available on Moodle.

- Abhinav Mehrotra

- Beatrice Perez (co-supervised with Gianluca Stringhini)

- Christoph Stich (co-supervised with Emmanouil Tranos)

- Theofania (Fani) Tsapeli