Marco Ceze
Principal Research Scientist at Amazon
- Role
- Principal Research Scientist - Flight Sciences, Drone and System Synthesis at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Marco Ceze
I am a Brazilian-born US citizen. I am a curious research engineer that loves learning new skills and techniques to solve problems. I make decisions based on analysis first and intuition second. I value dependability, flexibility, and the ability to work in teams. Most of my technical skills can be organized as follows- Applied Mathematics/Physics: linear and nonlinear optimization formulation and implementation, data analysis, discrete system dynamics, rigid-body dynamics, computational fluid dynamics (CFD), applied machine learning, numerical algorithms, partial differential equations (PDEs), mesh processing/generation/adaptation, linear algebra- Software Development: software architecture for optimization, high-performance parallel computing, computational geometry, data structures, object-oriented design- Personal: team-oriented, compassionate, active learner, analytical, driven, dependable, flexible.
Experience
Principal Research Scientist - Flight Sciences, Drone and System Synthesis
Mar 2024 — Present · Seattle, WA, US
System analytics and optimization Drone conceptual designPath planning Operations research
Education
USP - Universidade de São Paulo
MEng, Aerodynamic Optimization
2006 — 2008
USP - Universidade de São Paulo
BEng, Mechanical Engineering
2001 — 2005
University of Michigan
PhD, Computational Methods in Aerospace Enginering
2008 — 2012
Skills
- Computational Geometry
- Computational Fluid Dynamics (Cfd)
- Cfd
- C++
- Adjoint Methods
- Mpi
- Finite Element Analysis
- Simulations
- Fluid Dynamics
- R
- Algorithms
- Software Development
- Tecplot
- Shell Scripting
- Ceres Solver
- High Performance Computing (Hpc)
- Fluid Mechanics
- Matlab
- C
- Optimization
- Numerical Simulation
- High Performance Computing
- Optimizations
- Cgal
- Numerical Analysis
- Aerospace Engineering
- Mathematical Modeling
- Parallel Algorithms
- Machine Learning
- Aerodynamics
- Engineering
- Parallel Programming
- Software Engineering
- Parallel Computing
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