Bruno Blais

Bruno Blais

Associate Professor @ Polytechnique Montréal

About

I am a professor in the Department of Chemical Engineering at Polytechnique Montréal, where I lead the CHAOS (Chemical engineering High-performance Analysis, Optimization and Simulation) Lab. My research sits at the intersection of computational fluid dynamics (CFD), numerical methods, and high-performance computing, with a particular focus on particulate and multiphase flow systems. I am one of the principal developers of deal.II, a widely used open-source finite element library that powers research and engineering simulations across academia and industry worldwide. I am also the lead developer of Lethe, an open-source CFD software built on top of deal.II, designed for high-fidelity simulation of fluid dynamics and particle-laden flows using modern numerical approaches. At the CHAOS Lab, I mentor a team of graduate students and postdoctoral researchers working on cutting-edge problems in simulation science — from granular flows and mixing to free-surface dynamics and beyond. Our work combines rigorous mathematical modeling with scalable software development, bridging the gap between fundamental research and real-world engineering applications. I am passionate about open-source scientific software and the role it plays in making high-quality simulation tools accessible to the broader research community. If your work touches on CFD, multiphase flows, numerical methods, or scientific computing, I'd be glad to connect.

Country

Canada

City

Greater Montreal Metropolitan Area

Industry

Higher Education

Skill

Multiphase Flow, Numerical Simulation, Fluid Mechanics, CFD, Computational Fluid Dynamics (CFD), C++, Mathematical Modeling, Fluid Dynamics, Chemical Engineering, Modeling, Numerical Analysis, Fortran, MPI, Simulations, High Performance Computing, COMSOL, Granular Flow, Python, OpenMP, Physics

Experience

Polytechnique Montréal

Associate Professor

Polytechnique Montréal

LinkedIn
2022-6 - Present · 4 yrs 3 mos

Montréal

Polytechnique Montréal

Assistant Professor

Polytechnique Montréal

LinkedIn
2018-12 - 2022-6 · 3 yrs 7 mos

Assistant Professor in the Departement of Chemical Engineering. My research activities center on the simulation of complex multiphase flows (solid-liquid, solid-gas) in chemical processess using novel methods based on computational fluid dynamics and the discrete element method.

Digital Research Alliance of Canada | Alliance de recherche numérique du Canada

Member of the Researcher Council

Digital Research Alliance of Canada | Alliance de recherche numérique du Canada

LinkedIn
2020-9 - Present · 6 yrs
Otto-von-Guericke University Magdeburg

Visiting Professor

Otto-von-Guericke University Magdeburg

LinkedIn
2025-8 - 2026-6 · 11 mos

Germany

Visiting Professor. Working with the group of Prof. Berend van Wachem on the simulation of particle-laden flows.

National Research Council Canada / Conseil national de recherches Canada

Research Officer

National Research Council Canada / Conseil national de recherches Canada

LinkedIn
2016-6 - 2018-11 · 2 yrs 6 mos

Boucherville

Research officer in computational fluid mechanics and numerical modeling. Development, verification, validation and application of finite element and finite volume methods to the study of a variety of flow (incompressible, subsonic, supersonic, free surface, multiphase) and heat transfer problems.

Polytechnique Montréal

Ph.D Candidate - Vanier Graduate Scholar

Polytechnique Montréal

LinkedIn
2012 - 2016 · 4 yrs

Thesis title : Euler-Lagrange Modeling of Solid-Liquid Flows in Stirred Tanks and Transport Processes The aim of this project is to develop a modelling scheme to allow for a fine study of solid-liquid flows in critical unit operations such as pipeline transport and stirred-tanks mixing. It is proposed to combine the Finite Volume Method (FVM) with the Discrete Element Method (DEM) in a CFD-DEM formulation in order to gain insight into the physics of solid-liquid mixing. This is achieved via the extension of the CFDEM framework that combines LIGGGHTS and OpenFOAM. The final aim is to accurately predict critical macroscopic quantities such as power consumption, just-suspended speed, torque and the distribution of particles.

Johannes Kepler Universität Linz

Visiting Researcher

Johannes Kepler Universität Linz

LinkedIn
2014-7 - 2014-11 · 5 mos

Linz / Austria

DCS Computing GmbH

Visiting Researcher

DCS Computing GmbH

LinkedIn
2014-7 - 2014-11 · 5 mos

Linz / Austria

EDF EU Affairs

Intern in Computational Fluid Dynamics

EDF EU Affairs

LinkedIn
2012-3 - 2012-8 · 6 mos

6 Quai Wattier, 78400 Chatou, France

Centre de Mathématiques et de Leurs Applications (CMLA) - ENS Cachan

Intern in Computational Fluid Dynamics

Centre de Mathématiques et de Leurs Applications (CMLA) - ENS Cachan

2011-5 - 2011-8 · 4 mos

61 Avenue du Président Wilson, 94230 Cachan, France

Rio Tinto Alcan

Chemical Engineering Intern

Rio Tinto Alcan

2010-5 - 2010-8 · 4 mos

Primary Metal Group - Alma, Qc

Education

Polytechnique Montréal

Polytechnique Montréal

LinkedIn

Chemical Engineering - Computational Fluid Dynamics

2012 - 2016 · 4 yrs
ENSTA

ENSTA

LinkedIn

Fluid Mechanics and Applied Mathematics

2010 - 2012 · 2 yrs
Pierre and Marie Curie University

Pierre and Marie Curie University

LinkedIn

Fundamental and Applied Fluid Mechanics

2010 - 2012 · 2 yrs
Polytechnique Montréal

Polytechnique Montréal

LinkedIn

Chemical Engineering

2007 - 2012 · 5 yrs

Bruno Blais's Contact Information

Email

******@***.com

Phone

(**) *** ****

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