Welcome!
My name is Daniel Le Corre, I am a second-year Physics PhD student researching Planetary Surface Feature Detection with Machine Learning.
I am currently based at the Centre for Astrophysics and Planetary Science (CAPS) at the University of Kent in Canterbury, UK. I am also affiliated with the Centre d'Etudes et de Recherche de Grasse (CERGA) at ACRI-ST in Grasse, France.
My background is mostly in computational planetary science, but I have previously worked in Earth Observation.
Feel free to reach out by going to my Contact Me page, or viewing my GitHub and LinkedIn accounts!
Education
-
2021 to present - Physics PhD titled "Planetary Surface Feature Detection with Machine Learning" as a collaboration between the University of Kent and ACRI-ST.
-
2017 to 2021 - Master of Physics degree with First Class Honours in "Astronomy, Space Science and Astrophysics" from the University of Kent.
Professional Experience and Volunteering
-
Sessional Demonstrator and Marker for laboratory and programming undergraduate physics and chemistry modules at the University of Kent.
-
Earth Observation Intern for 8 weeks in summer 2020 at Deimos Space UK.
-
Former Junior Data Scientist at Deimos Space UK working on training Deep Learning models for Earth Observation.
-
EXPLORE Data Challenges Team Member helping to develop and launch the 2022 Lunar Data Challenges.
-
Treasurer on the organising committee for the PLANCKS competition's 2021 UK/Ireland preliminaries