Camila Smith
Senior Research Data Scientist
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolCamila Rangel Smith is a Senior Research Data Scientist at The Alan Turing Institute with 10 years of experience bridging particle physics research and applied data science. She leads interdisciplinary projects end-to-end, combining research software engineering, reproducible workflows, and statistical rigor to make research outputs robust and usable in real-world settings. Her background includes a PhD in experimental particle physics and postdoctoral work on the ATLAS experiment at CERN, giving her deep expertise in complex data, large collaborations, and high-assurance analysis. Camila has also co-founded a virtual learning initiative to combat brain drain in Latin America and built production analytics and reporting frameworks for commercial assessment tools, reflecting a rare mix of academic depth and product-focused delivery.
10 years of coding experience
8 years of employment as a software developer
Licentiate degree, Physics, Licentiate degree, Physics at Universidad de los Andes (VE)Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Université Paris Diderot
English, French, Spanish
Github Skills (61)
visuals10
data-science9
digital-humanities9
open-data9
science9
creative-commons8
gift8
explore8
synthetic8
machine-learning8
projection8
feature-extraction8
simulation7
conda7
graphical-models7
Programming languages (7)
Github contributions (5)
alan-turing-institute/TuringDataStories
May 2020 - Oct 2022
TuringDataStories: An open community creating “Data Stories”: A mix of open data, code, narrative 💬, visuals 📊📈 and knowledge 🧠 to help understand the world around us.
Contributions:14 reviews, 103 commits, 53 PRs in 2 years 5 months
data-storiesdatadata-scienceknowledgehut23
alan-turing-institute/spc-hpc-pipeline
Nov 2022 - Feb 2023
Azure batch pipeline for the SPC project
Contributions:3 reviews, 61 commits, 6 PRs in 2 months
infinibandazure-batchpipelinebatchazure
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