Conferences

During my PhD, I got many opportunities to share my works with different groups and institutions, on various conferences or workshop. I love talking about my work, with a particular attention on pedagogy. I am also involved in different journal clubs, from cosmology to Machine Learning. I also had the opportunity to give a talk to a general public to talk about galaxies.
I am listing here some of my main presentations.

~300
&
~100

Flash talk
&
3 x 10min

Oslo, Norway

April 2022

During this Euclid Annual Meeting, I gave four different talks, three being invited talks.
The first one was on the pleanry session for the Early Career Scientists flash talks. I've presented the work done for Euclid during my PhD. I then spoke in three different parallele sessions:

The Machine Learning splinter, to give an update in the galaxy simulation pipeline, and to present my work on deblending.
The Local Universe splinter, to present our results on the Euclid Morphology Challenge (EMC), with a focus on the challenges of bright objects.
The Galaxy and AGN Evolution splinter, to present the EMC paper, with a focus on double Sérsic and multiband.

~30

Barcelonette, France

December 2021

This two weeks CNRS winter school was dedicated to a deep introduction of Machine Learning for astrophysics and particle physics. The public was mainly CNRS reseachers, research engineers and PhD students. I gave the final lesson on deep generative models, presenting theory and implementation of VAEs, GANs and regressive Flows. It was also followed by a hands on session to apply those methods on galaxy data.

~200

12+3min

IAP, Paris, France

October 2021

This hybrid conference (40 people attending, ~200 people online) was organsied with long general talks about the use of Machine Learning in astrophysics (mainly cosmology), short talks to present applications of those methods, and debates on the potential of Deep Learning for the community.
I presented my two projects, the simulation of galaxies and the probabilistic deblending. I share my knowledge of the i mplications on the collaborative pipelines when Deep Learning algorithms want to be implemented. I also highlihted that Deep Learning tools start to have meaningful prediction of uncertainty.

May 2021

Virtual (Lausanne)

~80

10+5min

Euclid annual Consortium meeting . My presentation was part of the Science Work Package: Galaxy & AGN Evolution splinter session. I presented my paper on the forecast for morphology with the Euclid Survey.

November 2020

Virtual (Lyon)

~80

15+5min

French Euclid Consortium annual meeting . I presented my work on the simulation of galaxies.

Virtual (Lyon)

November 2020

10+5min

~20

Annual meeting of a European group working on new tools for big data in astrophysics. I was invited as an external member to talk about our ideas on the probabilistic deblending.

APC (Paris)

~20

3+2min

March 2020

Workshop on Bayesian Neural Networks for Cosmology and Gravitational. I had a poster on the simulation and deblending, plus a flash talk for the poster.

10+5min

~80

November 2019

IAS (Saclay)

French Euclid Consortium annual meeting . I presented my preliminary results on the deblending situation for Euclid.