Pierre-Louis Lemaire

Pierre-Louis Lemaire

Hi, I'm Pierre-Louis Lemaire, currently a research intern @ Mila supervised by David Rolnick and Alex Hernandez-Garcia, working on geographical transferability of deep-learning based precipitation downscaling models. I recently graduated from a research MSc. in Applied Mathematics at Polytechnique Montréal supervised by Julie Carreau and 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 deep learning for precipitation downscaling to km-scale, focusing on enhancing geographical generalization skills of AI models. More broadly, I'm interested in developing physics-informed machine learning models for climate modeling.

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

⬇️ CV (last update in November 2025), email, Github and social media profiles ⬇️

         

News

⚠️2025/11 My first workshop paper @ NeurIPS 2025 - AI for Science is publish on Arxiv: A Probabilistic U-Net Approach to Downscaling Climate Simulations.

⚠️2025/10 I received a "scientific soundness" special mention from the jury at the IVADO Digital Futures 2025 for the presentation of my master's project on AI for precipitation downscaling (recording coming).

⚠️2025/09 I am joining Alex Hernandez-Garcia's and David Rolnick's labs as a research intern.

⚠️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