Cambridge, Massachusetts, United States
Fabrice is an MIT-trained engineer who applies first principles and data-driven approaches to solve complex problems in engineering and biotechnology. He joined Amgen in 2015 under the leadership of Pablo Rolandi and transitioned to the role of Director of Data Sciences in 2022. As head of Modeling and AI for Process Development, Fabrice leads efforts to develop and deploy digital twins of products and processes across Process Development and Manufacturing. He is both a strategic leader and hands-on contributor, known for building high-performing teams and fostering the growth and development of his colleagues. Fabrice takes pride in being a supportive and effective manager, committed to enabling others to thrive.
Manage part of the applications team. Address and solve technical challenges for clients. Provide modeling assistance in a wide variety of application areas, particularly those involving fluid dynamics, heat transfer, chemistry and computational mathematics. Implement new features and participate in the overall product development. Create custom simulation apps. Develop and teach training classes to academics, research scientists and engineers. Create technical marketing content.
My PhD research explores combustion modeling for the high performance computing (HPC) of turbulent reactive jet flows through the design of a state-of-the-art and massively parallel 3D numerical simulation tool. The resulting code provides us with avenues to explore the physics of these flows and combustion processes, and also helps us develop flow control strategies to improve gas turbine efficiency while minimizing size, noise, and emissions. My research interests include fluid dynamics, combustion dynamics and control, computational mathematics, vortex dynamics, hybrid Eulerian/Lagrangian methods, optimization problems, high performance computing, and more generally the modeling and simulation of multi-scale and multi-physics flows.
Mechanical Engineering and Software Development Consultant. Offered my expertise in: -Computational Fluid Dynamics – CFD -Unsteady fluid flow and heat transfer analyses -Massively parallel computing -State-of-the-art, special-purpose scientific/engineering software development Designed mechanical heart valves that inhibit blood coagulation. Developed a state-of-the-art grid-free technology for simulating Fluid-Structure Interaction due to mechanical heartvalves.
Thesis: ‘Numerical Study of Turbulent Reacting Flows Using an Adaptive Vortex Method’ -Developed software for Lagrangian simulations of combustion using Vortex Methods. -Parallelized the combustion code using MPI Libraries. -Developed a recursive method based on an adaptive treecode algorithm to improve existing CFD code efficiency.