I am a researcher in data science, with an interest in structured classification and optimization. My research is motivated by remote sensing applications and the handling of spatial data in general (satellite images, LiDAR point clouds, maps).
I studied applied mathematics, statistics, numerical optimization and computer science, as well as applied fields such as demography and transportation systems.
Positions:
Researcher:
Teaching :
– 2020 – current : Master PPMD, ENSG: Introduction au Deep learning for remote sensing (2D, 3D, time series)
– 2020 – current : Master PPMD, ENSG: Introduction au Deep learning for remote sensing (2D, 3D, time series)
– 2020 -current : ENSG ING2, Introduction au Machine learning
– 2017 – 2019: Master PPMD, ENSG, Structured learning
– 2018 -2019 : Master IMI, ENPC, Machine learning (TA)
– 2017 – 2019: Master PPMD, ENSG, Structured learning
– 2016 – 2017: Master DésiGéo, ENSG, Introduction to machine Learning (TA)
– 2018 -2019 : Master IMI, ENPC, Machine learning (TA)
– 2017 – 2019: Master PPMD, ENSG, Structured learning
– 2016 – 2017: Master DésiGéo, ENSG, Introduction to machine Learning (TA)
– 2015: Master MVA, ENS Cachan : Introduction to graphical models (TA)
Education:
2012-2016, PhD, ENS Paris: Learning structured models on weighted graphs, with applications to spatial data analysis
SIERRA Team, INRIA, IMAGINE Team, ENPC ParisTech
Supervisors: Francis Bach & Guillaume Obozinski
2012: Master MVA, ENS Cachan: Machine Learning and Vision
2012: Master IMI, ENPC ParisTech: Statistics and Computer Science
2011: Master PAPDD, AgroParisTech: Public Policy Analysis and Urbanism
2007: Ecole Polytechnique: Computer Science and Applied Mathematics
Loic Landrieu 