|
30 | 30 | "work": [ |
31 | 31 | { |
32 | 32 | "name": "CReSTIC Lab, University of Reims", |
33 | | - "position": "Postdoctoral Researcher", |
34 | | - "startDate": "2024-03-01", |
| 33 | + "position": "HPC and IA Research Scientist", |
| 34 | + "startDate": "2024-12-16", |
35 | 35 | "endDate": "Present", |
36 | | - "summary": "Parallelized Python codes using CUDA and Slurm in HPC environments. Developed machine learning models for real-time fault and anomaly detection in automated systems. Integrated optimized Python models into production pipelines for inference.", |
| 36 | + "summary": "", |
37 | 37 | "highlights": [ |
38 | 38 | "Parallelized Python codes with CUDA and Slurm", |
39 | 39 | "Machine learning for real-time fault detection", |
|
45 | 45 | { |
46 | 46 | "name": "Constellium and SIMaP Lab", |
47 | 47 | "position": "Postdoctoral Researcher", |
48 | | - "startDate": "2022-03-01", |
| 48 | + "startDate": "2022-03-1", |
49 | 49 | "endDate": "2024-02-28", |
50 | | - "summary": "Used HPC tools (VASP, LAMMPS) to study aluminum alloys. Developed Python scripts to apply machine learning to liquid aluminum simulations. Post-processed simulation data using Bash scripting. Collaborated with industrial casting team.", |
| 50 | + "summary": "", |
51 | 51 | "highlights": [ |
52 | 52 | "HPC simulations with VASP and LAMMPS", |
53 | 53 | "Applied machine learning to materials science", |
|
61 | 61 | "position": "Ph.D. in Physics", |
62 | 62 | "startDate": "2018-10-01", |
63 | 63 | "endDate": "2022-02-28", |
64 | | - "summary": "Developed custom C++ and Fortran90 codes to study atomic vibrations in MOFs and spin crossover materials. Performed molecular dynamics simulations using LAMMPS on multi-CPU systems. Modeled thermodynamic and vibrational properties at the nanoscale.", |
| 64 | + "summary": "", |
65 | 65 | "highlights": [ |
66 | 66 | "Custom code development in C++ and Fortran90", |
67 | 67 | "Molecular dynamics simulations with LAMMPS", |
|
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