Talks and posters

Find below a few selected presentatations and conference contributions:

DL4DS - A python library for empirical downscaling and super-resolution of Earth Science gridded data

Presentation at GeoPython 2022 conference. Basel, Switzerland.

DL4DS - Deep Learning for empirical DownScaling

Virtual poster presented at Climate Informatics 2022.

Deep learning-based super-resolution of climate (forecast) data

Talk given at PyconES 2021. The video recording can be found on Youtube.

AI applications to Earth Science at the Barcelona Supercomputing Center

Invited talk at the ESA Phi-Week 2021.

Learning to simulate precipitation with supervised and generative learning models

Virtual poster presented at the ECMWF-ESA workshop on Machine Learning for earth observation and prediction 2020.

Identification of Wastewater CH4 Emission Sources with Computer Vision and Sentinel-2 Observations

Virtual poster presented at the ESA Phi-week 2020.

Learning to simulate precipitation with Deep Neural Networks

Talk at the 6th ENES HPC Workshop 2020 (virtual event) organized in the context of the ESiWACE H2020 project.

Exoplanet Imaging Data Challenge

Invited talk at the Global Challenges Science Week, Grenoble, France.

A data scientist’s guide to direct imaging of exoplanets

Invited talk at the RADA big data workshop in Medellín, Colombia. The workshop is part of the Radio Astronomy for Development in the Americas (RADA) Big Data program, which is jointly funded by the UK Newton Fund and the Ministerio de Tecnologías de la Información y las Comunicaciones de Colombia. Feb 12, 2019.

A la caza de exoplanetas por imagen directa con Python: De la ciencia de datos, la exoplanetología y otros demonios

Charla presentada en la PyconES 2018 (Málaga, España). Slides. video recording.

Exoplanet direct imaging meets data science

Talk given at NASA ARC center and Stanford in June 2018. The slides present my Data Science approach to the problem of direct detection of exoplanets, leveraging recent developments in Machine/Deep Learning and the practices from the open-source Python community.

Exoplanet direct imaging data challenge

Presentation given at the Paris-Saclay Center for Data Science (INRIA Saclay) on the topic of data challenges for astronomical high-contrast imaging and direct detection of exoplanets.

Data Science in astronomical image processing: looking for exoplanets using machine learning

Talk presented at the Data science in the Alps workshop. The program of this meeting was composed of a mixture of talks about methodological research and about various scientific applications of data science. The slides can be found here and the video recording here.

Academic Data Science: conducting research at the interface of different disciplines

Data Club @ UGA first seminar. I presented my work on image analysis and machine learning for astronomy, and the study of extra-solar planets via direct imaging. Then, I discussed the many challenges that we face as academic data scientists working at the interface of several disciplines. Finally, I concluded by listing some of the exciting opportunities that data science opens for us, young researchers, and our future (perhaps academic) careers.

High-contrast imaging post-processing methods for exoplanet detection and characterization

Talk given at INRIA Grenoble - Rhône-Alpes. Here I presented my latests results on “Supervised detection of exoplanets in high-contrast image sequences” (see publications section).