Chenchen Chu
Patent Engineer (European patent attorney candidate)
Experience
Patent Engineer (European patent attorney candidate)
Vossius & Partner
- Patent application: European patent drafting and prosecution
- LLM practicing: Developed LLM-based tools for automated patent data retrieval, applying Python scripting to accelerate technical reviews.
Scientific Researcher
Fraunhofer ITWM
- Generative design: Applied topology optimization and machine learning for multi-material meta-materials with tailored thermal and mechanical properties.
- VAE-driven implicit geometry parametrization: Developed variational auto-encoders to compress high-dimensional design spaces (geometry represented by signed distance field), enabling efficient generative exploration of meta-material architectures.
- Computational pipeline with JAX: Built GPU-accelerated multi-scale optimization workflows using JAX autodiff and adjoint methods, reducing simulation time by 40% for aerospace components.
Doctoral Researcher
CNRS-LaMCoS
- Multiphysics FEM simulations: Conducted advanced finite element analysis for solid mechanics and thermal effects using FEniCS and Cast3M, incorporating high-order homogenization for composite materials.
- Topology optimization & robust optimization: Implemented topology optimization under uncertainties, leveraging surrogate models and probabilistic methods for robust structural performance.
Master student/ Researcher
Xidian University
- FEM analysis & material modeling: Performed static/dynamic simulations of composite structures in ANSYS and LS-DYNA, with Fortran UMAT for visco-plastic damage models.
- Computational validation: Supported satellite arm design through CAE-integrated analysis, focusing on lightweight optimization.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Aerospace and Defense (5 years), Education (3.5 years), Government and Administration (3.5 years), Space Exploration (3 years), Manufacturing (2 years), and Professional Services (0.5 years).
Business Areas Experience
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Experienced in Research and Development (8.5 years), Product Development (5 years), Information Technology (0.5 years), and Legal (0.5 years).
Summary
PhD in Mechanics and Materials Optimization with expertise in FEA/FEM, AI-driven material/structure simulation and optimization, and scalable CAE workflows. Proven ability to accelerate physics-based simulations by integrating hybrid techniques (model reduction, ML, etc) into HPC.
Skills
- Computational Programming: Python (Pytorch, Jax, Autodiff), Matlab, Fortran
- Fem/cae Tools: Ansys, Ls-dyna, Abaqus, Fenics, Cast3m
- Generative Design & Optimization: Topology Optimization (Mma/simp), Vae Parametrization, Adjoint Methods
- High-performance Computing: Linux, Gpu Acceleration, Jax
- Devops & Tools: Git, Docker
Languages
Education
INSA de Lyon
Ph.D. in General Mechanics · General Mechanics · Lyon, France
Xidian University
M.Sc. in Mechatronic Systems Engineering · Mechatronic Systems Engineering · Xi'An, China
Xidian University
B.Sc. in Mechatronic Systems Engineering · Mechatronic Systems Engineering · Xi'An, China
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