About me

[[[UNDER CONSTRUCTION]]] [[[LOOKING FOR MY NEXT ROLE]]]

I'm a PhD and software developer with a passion for computer graphics, GPU programming, Data science and web development.

Recently, I completed my PhD in Computer Science at the XLIM laboratory under the supervision of Professor Benoit Crespin, where I focused on developing new algorithms and techniques for colloidal suspension simulations, with a particular emphasis on GPU programming and Delaunay triangulations. During my PhD, I gained extensive experience in C++, CUDA, and Python, as well as a deep understanding of computer graphics, high performance computing, computer geometry and numerical simulations.

Daniel lewis
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Resume

Education

  1. Université de Limoges

    2021 — 2025

    Ph.D. in Computer Science under the supervision of Prof. Benoit Crespin.

  2. University of Chile

    2020 — 2021

    Msc. in Computer Science.

  3. University of Chile

    2015 - 2020

    Bachelor in Computer Science.

Experience

  1. Auto-entrepreneuriat

    2026

    Developed MD simulations and GPU-accelerated kernels for a university research project, enhancing performance, cross-platform compilation and scalability of simulations.

  2. Université de Limoges - Teaching and Research Fellow

    2024 — 2025

    Developed and optimized high-performance C++/CUDA primitives for simulations based on 3D Delaunay triangulations, improving simulation scalability of numerical experiments. Taught systems and programming courses, reinforcing expertise in low-level programming and parallel computing concepts.

  3. Adobe Research - Research Intern (C++/Python/Geometric algorithms)

    2023

    Benchmarked different decal generation algorithms for Lagrange, Adobe’s in-house geometry processing library. Worked on performance-critical geometric algorithms with a focus on scalability, robustness, and maintainability. Collaborated with research engineers on advanced computational geometry pipelines.

  4. Geophysics Department, University of Chile - Software Eng./Part time dev. (Javascript)

    2019

    Developed a web platform to visualize natural disasters. Designed and implemented a decision-support tool for earthquake response.

  5. Synopsys Ltda. - R&D Intern (C++/Python)

    2019

    Improved debugging tools for performance-critical geometric algorithms used in industrial EDA software. Resolved Coverity issues and enhanced a GDB-based debugging workflow. Contributed to reliability and performance improvements in CATS software.

  6. Geomechanics laboratory, AMTC - Research Intern (Python)

    2018

    Designed and implemented 3D mesh algorithms (mesh slicing variants) applied to sublevel stoping mining planning.

Languages

  • 🇬🇧 English
    C1
  • 🇫🇷 French
    B2
  • 🇪🇸 Spanish
    Native
Full CV in French available here.

Research