Computer Laboratory

Dr. Neal Lathia

Bio

I am a Senior Research Associate in the Networks and Operating Systems Group of Cambridge University's Computer Laboratory. If you're looking for my consulting work, it's here.

I am currently funded by the EPSRC UBhave (Ubiquitous and Social Computing for Positive Behaviour Change) Project, with Gillian Sandstrom, Jason Rentfrow, and Cecilia Mascolo, where I am developing and analysing Emotion Sense.

I am also working on developing Q Sense, a sensing-powered smoking cessation smartphone app, with Cecilia, Felix Naughton, and Stephen Sutton.

My research to date falls somewhere in the intersection of data mining, mobile systems, ubiquitous/pervasive systems, and personalisation/ recommender systems, applied to a variety of contexts where we measure human behaviour by their digital footprints. You can find my research blog here.

Background

Prior to joining the Computer Lab, I was a Research Associate in the Department of Computer Science at University College London. I researched personalisation in mobile/public transport contexts as part of the EC i-Tour project, with Licia Capra.

I also obtained my PhD from University College London (supervised by: Stephen Hailes and Licia Capra), funded by the EPSRC Utiforo project: my doctoral work centred around online recommender systems and evaluating collaborative filtering algorithms over time.

News

  • January 2015: Q Sense is featured in the latest MRC Network Magazine.
  • January 2015: Emotion Sense i-Teams project launching!
  • October 2014: Paper on public transport crowd-sourcing to appear at Mobiquitous 2014
  • September 2014: Chapter on mobile recommender systems accepted to the 2nd edition of the Recommender Systems Handbook
  • August 2014: Android Q Sense study launching. Smoker who wants to quit in the Cambridge/London area? Join us!
  • July 2014: PLOS One paper (lead by Chloë) accepted.
  • January 2014: Launch and first tests of the Easy M experience sampling tool underway...
  • September 2013: Join the Coursera Introduction to Recommender Systems; I'm interviewed in Week 8/9 about my doctoral research.
  • June 2013: Paper about the open source sensing libraries to appear at the MCSS workshop.

Contact Information

Computer Laboratory, University of Cambridge
William Gates Building
15 JJ Thompson Avenue
Cambridge CB3 0FD

Email: neal.lathia@cl.cam.ac.uk
Computer Laboratory Office: FN01
Twitter: @neal_lathia

Connect

You can find me online on: twitter, LinkedIn, Google Scholar, wordpress, slideshare Google+, Quora, last.fm, goodreads, Mendeley.

I have also set up two google groups: one for researchers interested in Shared Bicycle Systems and another one for all researchers who study Public Transport in London (e.g., Oyster card data).