Lucas Meyer

prof_pic.jpg

I am researcher and software engineer currently working for Polymathic AI to accelerate science with AI and HPC.

I completed my PhD in computer science and applied mathematics at Université Grenoble Alpes in partnership with INRIA and EDF. My research, under the supervision of Bruno Raffin, focused on training deep learning models for numerical simulation at scale.

Before my PhD, I worked in the space industry, including at the European Space Agency, developing software and deep learning methods for remote sensing. In 2018, I received a M.Sc in computer science from Université de Montréal, working on optimization software for swarm of robots with Giovanni Beltrame. I graduated in software engineering and applied mathematics from École Nationale des Ponts et Chaussées.

latest posts

selected publications

  1. ICML
    Training Deep Surrogate Models with Large Scale Online Learning
    Lucas Meyer, Marc Schouler, Robert Alexander Caulk, and 2 more authors
    In International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, Jul 2023
  2. SC
    High Throughput Training of Deep Surrogates from Large Ensemble Runs
    Lucas Meyer, Marc Schouler, Robert Alexander Caulk, and 2 more authors
    In Proceedings of the international conference for high performance computing, networking, storage and analysis, Nov 2023