Research Scientist at Environment and Climate Change Canada (ECCC).
I am a lead developer of PARADIS, Canada's next-generation AI model for weather prediction. My research bridges the gap between high-performance computing, numerical discretization of partial differential equations, and machine learning. Beyond advancing data-driven forecasting with neural networks, my work focuses on developing stable, efficient high/low-order computational fluid dynamics and scalable implicit-explicit solutions on modern GPU/CPU architectures.
Publications
Preprints
- C.A. Pereira, S. Gaudreault, V. Dallerit, C. Subich, S. Panday, S. Wei, S. Zhang, S. Rout, E. Haber, R.J. Spiteri, D. Millard, E. Diaconescu. Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting. arXiv preprint (2026).
Journal Articles
- C.A. Pereira, B.C. Vermeire. Hybridized implicit-explicit flux reconstruction methods for geometry-induced stiffness. Journal of Computational Physics 528 (2025).
- C.A. Pereira, B.C. Vermeire. Polynomial-adaptive hybridized flux reconstruction schemes. Journal of Computational Physics 514 (2024).
- C.A. Pereira, B.C. Vermeire. Hybridized formulations of flux reconstruction schemes for advection-diffusion problems. Journal of Computational Physics 516 (2024).
- C.A. Pereira, B.C. Vermeire. Performance and Accuracy of Hybridized Flux Reconstruction Schemes. Journal of Computational Physics 457 (2022).
- S. Hedayati Nasab, C.A. Pereira, B.C. Vermeire. Optimal Runge-Kutta Stability Polynomials for Multidimensional High-Order Methods. Journal of Scientific Computing 89, 11 (2021).
- C.A. Pereira, B.C. Vermeire. Spectral Properties of High-Order Element Types for Implicit Large Eddy Simulation. Journal of Scientific Computing 85, 48 (2020).
- C.A. Pereira, B.C. Vermeire. Fully-Discrete Analysis of High-Order Spatial Discretizations with Optimal Explicit Runge–Kutta Methods. Journal of Scientific Computing 83, 63 (2020).
Textbooks & Theses
- C.A. Pereira. Solution-Acceleration Strategies for High-Order Unstructured Methods. PhD Thesis, Concordia University (2023).
- B.C. Vermeire, C.A. Pereira, H.K. Karbasian. Computational Fluid Dynamics: An Open-Source Approach. Concordia University (2020).
- C.A. Pereira. Analysis of High-Order Element Types for Implicit Large Eddy Simulation. Master’s Thesis, Concordia University (2019).
Presentations & Talks
- Envisioning Future Technologies for Numerical Weather Prediction. Invited Speaker at NSERC CREATE Quantitative Climate Science Summer School. University of Waterloo, Waterloo, ON. July 21, 2025.
- WxFactory: Toward Efficient High-Order Weather Prediction on the Cubed Sphere. ICOSAHOM. Montreal, QC. July 15, 2025.
- Hybridization of Flux Reconstruction Methods. Environment and Climate Change Canada (ECCC) Research Workshop. November 17, 2023.
- Solution Acceleration of High-Order Strategies via Hybridization for Stiff Partial Differential Equations. ICOSAHOM 2023. Seoul, Korea. August 17, 2023.
- Hybridization of a Polynomial-Adaptive High-Order Unstructured Solver. Computational Fluid Dynamics Society of Canada (CFDSC). Sherbrooke, QC. May 28-31, 2023.
- Hybridized Flux Reconstruction Methods for Convection-Diffusion Problems. WCCM-APCOM. Yokohama, Japan. July 31 - August 5, 2022.
- Generating Interactive Data Visualizations using Plotly and Dash. Upskill ML/AI Ericsson Program, Concordia CCE. 2021.
- On Hybridized Flux Reconstruction Schemes. International Conference on Spectral and High-Order Methods (ICOSAHOM). Vienna, Austria (Online). July 12-16, 2021.
- Hybridizable Flux Reconstruction Schemes for Convection Problems. Canadian Aeronautics and Space Institute (CASI) AERO Conference. Montreal, Canada (Online). June 16-18, 2021.
- On Hybridized Flux Reconstruction Schemes. Computational Fluid Dynamics Society of Canada (CFDSC).
- Spectral Analysis of High-Order Element Types for Implicit Large Eddy Simulation. CFDSC-CSME International Congress. Western University, London, ON. June 2019.
- Analysis of High-Order Element Types for Implicit Large Eddy Simulation. Canadian Aeronautics and Space Institute (CASI) Conference. Laval, QC. May 2019.
- A Comparison of Element Types for High-Order Unstructured Implicit Large Eddy Simulation. 26th Annual Conference of CFD Society of Canada (CFDSC). Winnipeg, MB. May 2018.