Luisa Ardila
Data Scientist
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolLuisa Ardila is a Data Scientist and Research Software Engineer with four years of experience applying AI and ML to scientific and engineering problems, currently working at TNO after a stint at the Netherlands eScience Center. She designs and deploys end-to-end ML pipelines—data prep, model training, GPU/HPC deployment, monitoring—and collaborates closely with stakeholders to translate research needs into production-ready scientific software. Her background includes a PhD in Mechanics and Civil Engineering and hands-on research in particle aerosols and fluidized beds, giving her a strong foundation in numerical methods and experimental validation. Luisa blends rigorous academic research with practical engineering, routinely implementing state-of-the-art and generative AI methods for simulation-heavy domains. Based in Amsterdam, she is an organized code reviewer and contributor to research software projects, with a public portfolio linking to her project work.
4 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Mechanics and Civil Engineering, Doctor of Philosophy (PhD), Mechanics and Civil Engineering at Université de MontpellierMaster of Science - MS, Geotechnical and Geoenvironmental Engineering, Master of Science - MS, Geotechnical and Geoenvironmental Engineering at Universidad de los Andes
French, Spanish, English, Dutch
Github Skills (82)
continuum9
audio9
uncertainty9
pytorch9
uncertainty-quantification9
keras9
flux9
hyperparameter-tuning8
science8
bayesian-inference8
deep-learning8
image-generation8
solver8
diffusion-models8
toolbox8
Programming languages (10)
Github contributions (5)
GrainLearning/grainLearning
Jun 2022 - Feb 2023
A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eScience Center (NL), University of Newcastle (AU), and Hiroshima University (JP).
Contributions:6 releases, 12 reviews, 120 commits in 7 months
centercontinuumnewcastletoolboxbayesian-inference
GrainLearning/graphs
Jul 2022 - May 2023
Contributions:6 reviews, 7 PRs, 23 pushes in 10 months
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