I am a Reader (equivalent to an Associate Professor in the North-American academic system) in Data Science at the Department of Geography at University College London, where I lead the Intelligent Social Systems Lab

I am also a Turing Fellow at the Alan Turing Institute, the UK National Institute for Data Science.

PhD Studentship Available

We are advertising a PhD studentship for a project on HCI and intelligent mobile systems for digital mental health together with Anna Cox. If you are interested please get in touch. All the details about the application process can be found here. Closing date: 18 August 2017.

What’s New

[Older News]

Upcoming Events

I will be teaching at the Doctoral School on Transiently Powered Computing that will take place at TU Delft, Netherlands from 8th to 10th November 2017. The Doctoral School is co-located with ACM SenSys’17. Please consider attending it.

I  am currently involved in the following upcoming scientific events. Please consider submitting your work to and attending these conferences and workshops:

[Past events]

Ph.D. Students and Postdoc Opportunities

  • PhD Students. I am looking for students interested in pursuing a Ph.D. in my lab. If you are interested please contact me by email in order to discuss potential funding sources for your studies (such as available postgraduate studentships and other potential sources of Ph.D. funding). At the moment, we are advertising a PhD studentship for a project on HCI and intelligent mobile systems for digital health together with Anna Cox. If you are interested please get in touch. All the details about the applications can be found here. Closing date: 18 August 2017.

  • Postdoctoral Researchers. I am also happy to discuss other opportunities for working in my group, including fellowships such as those offered through the Newton Fund, EU Skłodowska-Curie Actions or the Fulbright Scholar Program.

Research Interests

Current areas of interest of my lab include:

  • Computational and mathematical modelling of human behaviour and social systems using a variety of “digital traces” (such as mobile data, sensor data, social media, user-generated content, etc.);
  • Ubiquitous computing;
  • Applied machine learning.

Main application areas are:

  • Digital health;
  • Data science for social good;
  • Security&privacy.

[More information about the Intelligent Social Systems Lab]

[More information about projects and research outputs]

Publications

You can find all my publications following these links:


Last updated: 16 August 2017.