Staff ML Lead at Criteo (since January 2015).
I lead the machine learning team for product recommendation at Criteo.
Previously I worked as a researcher and engineer at MIT and Thales, with a focus on computer vision, robotics, and self-driving cars.
Find me on Medium, Twitter, Google scholar, LinkedIn
My github contains the following software: intro-to-reco: teaching material for my course on recommendation engines, built with Flavian Vasile navguide: code of my PhD work on vision-based navigation for humans and robots omni3d: code of my MS work on 3D localization with omnidirectional video hashcode: code of my participations in the Google Hashcode contests nestor: an app to track weather forecast and subway lines in real-time in Paris respire: a linux-based app to track air quality from various sensors
In Sept 2019, I will start teaching a machine learning class at M2 level at Paris Dauphine.
Material of my class on Recommendation the Data Science Summer School at Ecole Polytechnique in June 2018. [github]
 ICRA 2010, Olivier Koch, Matthew R. Walter, Albert S. Huang, and Seth Teller, Ground robot navigation using uncalibrated cameras, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Anchorage, AK, May 2010 PDF
 ICCV 2009, Olivier Koch, Seth Teller, Body-relative navigation using uncalibrated cameras, Proceedings of the IEEE International Conference on Computer Vision(ICCV), Kyoto, Japan, October 2009 PDF
 IJFR 2008, Leonard et al., A Perception Driven Autonomous Urban Robot, International Journal of Field Robotics, 25, 10:727—774, 2008 PDF
 CVPR 2007, Olivier Koch, Seth Teller, Wide-area egomotion estimation from known 3D structure, Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), Minneapolis, MN, June 2007 PDF
 PhD Thesis, Body-relative navigation guidance using uncalibrated cameras. 2010. PDF
 MS Thesis, Wide-Area Egomotion from Omnidirectional Video and Coarse 3D Structure. 2007. PDF