Sebastien Corner

About Sebastien Corner

website: in real time multibody simulation and delivered multibody software to production for motorsports vehicles in Formula1, Indycar, Nascar and Corvette racing series. Research expertise in design optimization and control for complex multibody systems and driver models. Exploring solutions combining physical models with machine learning algorithms. Additional research interests include direct and backward propagation, adjoint sensitivity analysis, system design optimization, control optimization, deep and reinforcement learning and surrogate models.PhD in Mechanical Engineering at Virginia tech in the field of design optimization and sensitivity analysis. Specialized in simulating complex multibody systems and created custom MBD libraries in FORTRAN, Dymola and Matlab. Technical Skills.Coding and Programming: proficient in Dymola/Modelica, Fortran, MATLAB, Python and C++.Engineering: modeling and simulation, optimization, control, numerical analysis methods, analytical and problem solving, project planning management.Communication: technical writing (Microsoft Office Suite, Latex, PowerPoint), preparation of educationalmaterial, confident public speaker.Innovation & Creative Thinking: improve skills approach to tackle new challenges, seeking advice and criticism to constantly improve, suggest and promote ideas for analysis.

Experience

1. Formula 1 Simulation Engineer

   General Motors

   Sep 2023 — Present · Concord, NC, US

   Developed the Formula 1 multibody suspension model for the Driver-in-the-Loop (DIL) simulator, creating precise representations of various Formula 1 suspension systems for real-time simulations. Ensuring the virtual models accurately captured the physical dynamics of the suspension, allowing drivers and engineers to test and assess different configurations and scenarios within a simulated environment.• Developing the new generation of the GM Dymola Multibody Library, achieving a 20% run time improvement for real-time DIL simulation. Redesigned the suspension library to enhance modularity and reusability across all GM Motorsport programs (Formula 1, Nascar, IndyCar, LMDh).• Collaborating on optimal control solutions for driver models and car setup optimization using multibody racing vehicle models. Contributed to recruiting top talents in optimal control and provided guidance and direction for the project, leveraging my expertise in sensitivity analysis and optimization.\'Contractor from Sept 2023 until October 2024

Education

• Virginia Tech

  Doctor of Philosophy - PhD, Mechanical Engineering

  2014 — 2018

• Virginia Tech

  Master of Science in Mechanical Engineering, Mechanical Engineering

  2012 — 2014

• ISEN Toulon

  classe preparatoire MPSI/ MP

  2005 — 2008

• Virginia Tech

  Bachelor's degree, Mechanical Engineering

  2010 — 2012