(Last updated: August 2023)

You can also find my CV in pdf format here.

Professional Experience

2021 - : Adjunct Faculty, Stanford University, CA, USA. Adjunct Lecturer 2021-2022, Adjunct Professor since 2023. Co-lecturer (with Prof. Niebles) for CS131: Computer Vision: Foundations and Applications.

2020 - : Head of Machine Learning, Toyota Research Institute (TRI), CA, USA. Leader of the ML org at TRI (3 departments, ~20 people, Senior Manager 2020-2021, Director 2022-). Responsible for strategy, research, and tech transfer to build Toyota’s ML foundations across applications. Contributed to 46+ papers at top ML venues, 50+ patents, and 5 practical applications since Jan. 2020. Part of TRI’s executive leadership team since 2022.

2017 - 2019: Manager & Senior Research Scientist, Machine Learning, Toyota Research Institute (TRI), CA, USA. Founder and Manager of the ML team at TRI. Responsible for creating and leading TRI’s ML strategy for Automated Driving, from academic collaborations (esp. with Stanford), research (22 publications in 2017-2019), to ML cloud infrastructure, and deployment of safety-critical models on public roads.

2013 - 2016: Research Scientist (Computer Vision), Xerox Research Center Europe, Meylan, France. Tech lead on deep learning for video understanding. Research in and transfer of computer vision and ML algorithms. Pioneer in simulation for deep learning (CVPR’16 VKITTI paper cited 900 times).

2008 - 2012: Doctoral Researcher, Microsoft Research - Inria joint center, Paris, France. Microsoft Research - Inria joint center}{Paris}{France} {Invented, implemented, and experimentally validated state-of-the-art Computer Vision and Machine Learning algorithms for action recognition in challenging real-world videos (e.g., movies, YouTube).

2008: R&D Engineer, LEAR team, Inria, Grenoble, France. Participation to two international Computer Vision competitions: TRECVID and PASCAL VOC (co-winner of classification and detection challenges). Experimentation on tens of thousands of images and videos, using a cluster of computers, under strong time constraints.

06-08/2007: Research intern, Inria Rocquencourt, Paris, France. Research on learning the structure of dynamic Bayesian networks using statistical tests and genetic algorithms.

06-08/2006: Research intern, LIG research lab, IMAG institute, Grenoble, France. Implementation (OCaml) of formal methods in the automatic proof research domain.



Press Coverage and Interviews

Communication Skills

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With Computers:

With Researchers:

Scientific Activities


See my Google Scholar Profile, arxiv, my CV as pdf, or the Publications page (updated irregularly).


See my CV as pdf or the Talks page.