Roussel.

PhD student @ University of Bristol

Welcome 👋🏼

Hello there ! I’m Roussel Desmond Nzoyem (pronounced zo-e-m). To learn more about me, go to the About and CV pages. You’ll find some work I’ve contributed to in Projects and Publications. For a nice read, go to the Blog section where you’ll find interesting stories ranging many disciplines. Some very focused, and others quite random !

Selected publications

A few of my HPC and ML publications are listed below. Please check the Publications section or my Google Scholar for more papers.

Venue Title
ArXiv 2025 Weight-Space Linear Recurrent Neural Networks Abstract
SCOPE @ ICLR 2025 MixER: Better Mixture of Experts Routing for Hierarchical Meta-Learning Abstract
CoLLAs 2025 Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation Abstract
ICLR 2025 Neural Context Flows for Meta-Learning of Dynamical Systems Abstract
SC’W 2023 A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control Abstract

I’ve reviewed for top conferences such as Euro-PAR’24, ICLR’25, ICML’25 (Top Reviewer), and NeurIPS’25.

Selected stories

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News

  • 10 Jun. 2025 : I’m giving a flash talk the UoB’s SciML in the Faculty of Engineering Workshop on a new adaptation mechanism I am extremely excited about: Weight-Space Linear Recurrent Neural Networks. ☞ Slides
  • 19 May. 2025 : I was in Montreal (Canada) for the CRM summer school on Mathematical Foundations of Data Science. I also attended the workshop on Optimization and learning: theory and applications !
  • 22 Apr. 2025 : I’m attending ICLR’25 in Singapore and presenting lots of stuff. This time again, I’m looking to connect and have as much fun as possible. ☞ LinkedIn Post
  • 06 Mar. 2025 : Our latest paper MixER: Better Mixture of Experts Routing for Hierarchical Meta-Learning was unanimously accepted into the SCOPE workshop @ ICLR 2025. Looking forward to seeing everyone in Singapore !
  • 13 Feb. 2025 : I gave a talk at the University of Bristol’s EPS Seminar Series and the Engineering Design Society. It’s about Neural Context Flows and follow-up work on foundational models for science. ☞ Slides
  • 22 Jan. 2025 : I’m delighted to announce that our paper Neural Context Flows has been accepted to ICLR 2025. More info to come, including a blogpost with code and weights !
  • 07 May. 2024 : I’m attending ICLR’24 in Vienna and presenting a poster at the workshop on AI4DifferentialEquations in Science. I’m looking to have as much fun as possible. Please reach out if you’re there as well :).
  • 17 Apr. 2024 : My profile now appears on the Engineering Includes Me wall in the University of Bristol’s iconic Queen’s Building. This rewards our after-school work with Codemakers. ☞ Blog Post

  • 13 Mar. 2024 : I’m going to the Turing Institute to attend the launch of their Probabilistic Programming theme. Looking forward to using Turing.jl !

  • 20 Nov. 2023 : I’m giving a talk at the 2nd workshop on Physics Enhancing Machine Learning in Applied Mechanics, held at the Institute of Physics in London, UK. ☞ Access my slides.

  • 13 Nov. 2023 : Our paper on mesh-free differential programming for optimal control is out during SuperComputing’23. ☞ Have a read here.

  • 18 Sep. 2023 : I’m attending the 175th European Study Group with Industry (ESGI) in Berlin, Germany. ☞ Link.

  • 01 Aug. 2023 : I’ve pre-released version 0.1.4 of Updes: a mesh-free differentiable software for quick experimentation with a variety of PDEs. ☞ Repo.

  • 10 Mar. 2023 : I gave a talk at CMU Africa on emerging techniques and applications of graph neural networks. ☞ Recording.

  • 01 Dec. 2022 : I began my research on AI, HPC, and Scientific Machine Learning for mesh-free simulations. ☞ Synopsis.

  • 10 Oct. 2021 : I moved to Bristol for a PhD in the Interactive AI CDT. Find pictures of my trips on ☞ Instagram.

Reach out :)
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