Pierre-Louis Lemaire

Pierre-Louis Lemaire

Hi, I'm Pierre-Louis Lemaire, a Research MSc. student in Applied Mathematics at Polytechnique Montréal supervised by Prof. Julie Carreau and Prof. Youssef Diouane.
Prior to coming in Montréal in September 2023, I was studying applied mathematics at INSA Toulouse in France.

My current research project involves using physics-informed deep learning for multivariate climate downscaling. I work on ensuring the physical coherence of the downscaling models and improving performance by leveraging domaine knowledge. More broadly, I'm very interested on all works related to AI for science, with an emphasis on more fundamentals approaches for solving complex scientific challenges.

If you are interested in collaborating or have ideas to share, please email me:

⬇️ CV (last update in February 2025), research statement, email, Github and social media profiles ⬇️

           

News

⚠️2025/02 I will present my new project on Clausius-Clapeyron Informed Precipitation Downscaling at the 92th Acfas conference at ETS Montréal on May 8th :)

⚠️2024/12 Come see Maryam Alipourhajigha and I at the 10th Ouranos Symposium in Montreal on January 28th and 29th. We will be presenting our poster on using a probabilistic UNet for multivariate climate downscaling.

⚠️2024/10 I will be at the AMS 105th Annual Meeting as a student staff in New Orleans from January 11th to 17th 2025.

⚠️2024/10 I will be volunteering at the Montreal AI Symposium on October 10th.

⚠️2024/10 I won the CodeML 2024 hackathon Ericsson challenge :)

⚠️2024/08 I will be TA for the Representation Learning course from MILA taught by Aishwarya Agrawal this fall!

⚠️ 2024/03 I'm pleased to announce that I'll be taking part in the 5th edition of the Climate Science Summer School in Saint-Irénée in May 2024.

À bientôt