Steve Dodier-Lazaro

Former developer for Xubuntu, also contributed to Exaile, Ubuntu translations and various small-scale projects.

A long time ago, I have signed the Ubuntu CoC. I have changed my mind.

Currently working on changing the world of desktop computing for end-users at University College London!

Also involved in Xfce in various ways. I help out with UI design, perform UX evaluation, and very occasionally read and write code.

http://www.mupuf.org - http://shimmerproject.org - http://xfce.org

User information

Launchpad Id:
sidi
Email:
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Member since:
2008-10-23
Icon of Exaile Bug Day Events Icon of Maintainers of study.cs.ucl Icon of RezTeam Developers Icon of Xubuntu Users
Languages:
English (United Kingdom), French, Spanish
OpenPGP keys:
B0D9F712E5BDA6556429D2002C213942C137D6D6, FA8F1CB766402129B065C14347EB8DDF27B49B32
SSH keys:
steve@steve-laptop
sdodierl@secdev.cs.ucl.ac.uk
steve@Alcaniz
Time zone:
Europe/Paris (UTC+0100)
Karma:
0 Karma help
Social accounts:

All bugs in progress Assigned bugs

#1406636 chrome/ium data-source plugin uses no-longer-supported api (NPAPI)
in Zeitgeist Data-Sources
#623646 Add Leave Events for Firefox and Chrome
in Zeitgeist Data-Sources
#787803 Make Zeitgeist aware of files downloaded by Chrome
in Zeitgeist Data-Sources
#1283631 Check that actor names (and subject fields) are properly reported in Window Manager plugin
in Activity Finder
#1267641 Implement complete folder creation tracking
in Activity Finder

All assigned blueprints Assigned blueprints

Tracking reports made to upstream projects on misuse of GTK+ and other APIs, as applications are monitored and inconsistent behaviour noticed. Ensuring that the APIs cannot be misused any more in my final OS. # Frama-C Open File dialog contains custom list widget, from which files are later opened. This is non stan...
Feature Engineering for Activity Finder
This blueprint concerns representing the machine learning features used for activity discovery. It has several steps 1) Feature elicitation for ML task (80% ++++++++––) 2) Adversarial learning analysis (70% +++++++–––) 3) Implementation in apps and OS (10% +––––––––––) 4) Zeitgeist event logging ...

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