CV
Basics
| Name | Raúl Pérez Peláez |
| Label | Scientific Software Consultant & Computational Physicist |
| raulppelaez@gmail.com | |
| Url | https://github.com/RaulPPelaez |
| Summary | I specialize in high-performance scientific software and machine learning for physical sciences. I build robust, GPU-accelerated simulation tools and consult on projects that demand deep integration of physics, software engineering, and modern ML techniques. |
Work
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2024.09 - Present Adjunct Professor
IE University
Teaching programming and physics labs at IE School of Science and Technology.
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2023.01 - 2024.09 Research Director
Universitat Pompeu Fabra
Led development of GPU-accelerated ML infrastructure for molecular simulations using OpenMM. Focused on drug discovery and biomolecular modeling.
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2022.01 - 2023.01 Postdoctoral Researcher
Universidad Autónoma de Madrid
Developed high-performance simulation software for biosensor modeling using CUDA and C++.
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2021.01 - 2022.01 Postdoctoral Research Assistant
New York University
Collaborated with Prof. Aleksandar Donev to develop GPU-based tools for fluctuating hydrodynamics in complex systems.
Education
Skills
| Programming | |
| C++20 | |
| CUDA | |
| Python | |
| PyTorch | |
| UNIX | |
| CMake | |
| git |
| Scientific Computing | |
| Molecular Dynamics | |
| Hydrodynamics | |
| OpenMM | |
| TorchMD-NET | |
| Numerical Methods |
| Machine Learning | |
| Neural Network Potentials | |
| Scientific ML | |
| JAX | |
| TorchMD | |
| Triton |
Languages
| Spanish | |
| Native speaker |
| English | |
| Fluent |
Projects
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UAMMD
CUDA/C++ engine for simulating soft matter with fluctuating hydrodynamics. Designed for multiscale molecular dynamics and used globally in research.
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TorchMD-NET
Modular PyTorch-based framework for neural network potentials, integrated with OpenMM and used in ML-driven molecular dynamics research.
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OpenMM
Contributed to machine learning infrastructure of this leading molecular simulation platform. Focused on NNPs and GPU optimization.
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Superpunto
OpenGL-based particle visualizer for simulation data. Developed as a GPU visualization tool during early research years.