AI/robotics Researcher. Research Consultant @Magnit (contractor) at Apple Inc. 3D Point Clouds, Deep Learning and Robotics.


I am currently a research consultant working as a contractor at Apple Inc. I previously worked as a postdoctoral researcher at the Autonomous Space Robotics Lab (ASRL), University of Toronto Institute for Aerospace Studies. I received my Ph.D. from Mines ParisTech - Université PSL (France), and prior to that my M.Sc.Eng. from l'École Des Ponts ParisTech (France).

My research focuses on deep learning, 3D point clouds and robotics. I have developed a novel convolutional operator for 3D point clouds, KPConv, and designed deep network architectures for 3D object classification, object part segmentation and semantic scene parsing. I have also explored the problems of rotation invariance and equivariance in 3D convolutions, and adapted a rotation-invariant version of KPConv. Recently I have been interested in the application of deep neural networks to robotics applications. In particular I study how a robot can use its own past experiences to learn meaningful undertanding of its current environment, via self-supervision. If you are interested in my projects, feel free to visit the different github pages of my projects, or contact me directly.


Ph.D. 3D Computer Vision (2016-2019)

Mines Paristech, Université PSL, France

Advisors: François Goulette, Beatriz Marcotegui, Jean-Emmanuel Deschaud.
Thesis: Learning New Representations for 3D Point Cloud Semantic Segmentation.
During my Ph.D., I studied handcrafted features and developed a novel multiscale spherical neighborhood definition to compute features describing 3D points. Using conclusions drawn from handcrafted representations, I designed a point convolution operator: KPConv. It uses radius neighborhoods and a set of kernel points to play the role of the kernel pixels in image convolution. This design offers a straightforward deformable extension and very strong performances (ranked first in many benchmarks). I also studied the learnt representations to compare with handcrafted features.

M.Sc. M2 Master MVA (2015-2016)

ENS Paris-Saclay, France

During the last year of my master, I specialized in computer vision and machine learning in the French M.Sc. MVA (Mathematiques, Vison, Apprentissage).

M.Sc.Eng. Applied Mathematics (2012-2016)

École Des Ponts ParisTech, France

French engineering diploma (equivalent of B.Eng. + M.Sc.Eng.). Majored mathematics and computer sciences.


M.Sc. M2 Master MVA: Point clouds and 3D Modeling. (2017-2019)
ENS Paris-Saclay, France

M.Sc. M2 MAREVA: 3D Modeling Techniques (2016-2019)
Mines Paristech, Université PSL, France