Clément Farabet is a computer scientist and AI expert known for his contributions to the field of deep learning, with research interests spanning artificial intelligence, natural language processing and understanding, and deep learning. He completed his Ph.D. in 2010 at Université Paris-Est under Laurent Najman and Yann LeCun. He served as a research scientist at New York University. Farabet serves as the Vice President of Research at Google DeepMind and previously served as the VP of AI Infrastructure at NVIDIA. His scholarly work has received over 11,000 citations with an h-index of 21, and he maintains the website http://clmt.ai/.^[1]

In 2008, Farabet earned a master's degree in electrical engineering with honors from Institut national des sciences appliquées (INSA) de Lyon, France.^[3] In 2010, Farabet received his PhD at Université Paris-Est, co-advised by Professors Laurent Najman and Yann LeCun. His thesis focused on real-time image understanding and introduced multi-scale convolutional networks and graph-based techniques for efficient segmentations of class prediction maps. He successfully defended his thesis in 2013.^[5]

In 2008, after completing his Master's degree, Farabet joined Professor Yann LeCun's laboratory at the Courant Institute of Mathematical Sciences at New York University. His Master's thesis work on reconfigurable hardware for deep neural networks resulted in a patent. He continued his collaboration with Yann LeCun, and in 2009, he began working with Yale University's e-Lab, led by Eugenio Culurciello. This collaboration eventually led to the creation of TeraDeep.^[7] He began his career as a researcher, contributing to the development of LuaTorch, one of the first AI frameworks, which later evolved into PyTorch, widely recognized and adopted globally.^[9,10,8]

Farabet co-founded MadBits, a startup focused on web-scale image understanding. The company was acquired by Twitter in 2014.^[11] Following this acquisition, Farabet co-founded Twitter Cortex, a team dedicated to building Twitter's deep learning platform for various applications, including recommendations, search, spam detection, NSFW content, and ads.^[12]

Clement Farabet's publications include work appearing in the 2009 International Conference on Field Programmable Logic and Applications. In 2010, Farabet published work in the Proceedings of 2010 IEEE International Symposium on Circuits and Systems, including a collaboration with Yann LeCun and Koray Kavukcuoglu. In 2011, Farabet contributed to the CVPR 2011 Workshops and co-authored "Torch7: A Matlab-like Environment for Machine Learning" with Ronan Collobert and K. Kavukcuoglu for Neural Information Processing Systems. In 2013, Farabet collaborated with Camille Couprie, Laurent Najman, and Yann LeCun on "Indoor Semantic Segmentation using depth information" (16 January 2013) and "Learning Hierarchical Features for Scene Labeling," published in IEEE Transactions on Pattern Analysis and Machine Intelligence (August 2013).