Senior Data Scientist and Technology Lead for Twitter Cortex @ Twitter Cortex's mission is to represent data at Twitter: tweets, images, videos, follow graph, ... to assist and enable powerful product features. From July 2014 to Present (1 year 6 months) Co-Founder @ MADBITS is a tech startup that focuses on building new user experiences in the media space (photos and videos). Image understanding is a task of primary importance for a wide range of practical applications: at MADBITS, we are primarily interested in the task of image search, and the creation of intelligent, dynamic image sets, to automatically organize large databases of images. From January 2013 to July 2014 (1 year 7 months) Research Scientist @ After 3 years of research on high-performance hardware for computer vision, I developed an algorithmic framework to automatically parse and understand images and videos, based on deep-learning. This is the core of my PhD thesis. See my site for more info (publications, talks, ...). From April 2008 to October 2013 (5 years 7 months) Visiting Scientist @ During that time I developed a custom Dataflow Processor for complex/generic vision tasks, called NeuFlow: http://www.neuflow.org/ This was joint work with Yale’s e−Lab (Prof. Eugenio Culurciello) and New York University (Prof. Yann LeCun). Our Stream/Dataflow Processor’s—ambitious—purpose is to implement any kind of generic biologically inspired recognition/detection/classification task with a minimum power consumption. The streaming nature of the architecture makes it well suited to process large video streams in real-time, and totally autonomously... all that in a single chip! From June 2009 to June 2011 (2 years 1 month) Junior Resear Scientist (Intern) @ Development of a miniaturized FPGA based system to analyze video streams from a camera. This system was designed to be embedded in an unmanned helicopter (UAV) to provide the main computer with visual guidance. From September 2006 to July 2007 (11 months)

M.Eng, Electrical Engineering @ Institut National des Sciences Appliquées de Lyon From 2002 to 2008 Clément Farabet is skilled in: Algorithms, Signal Processing, Embedded Systems, Computer Vision, FPGAs, Machine Learning, Pattern Recognition, FPGA, Image Processing, Artificial Intelligence, Simulations, Computer Architecture, VHDL, Matlab, LaTeX