J Johnson
MARS Data Engineer
Madrid, Community of Madrid, Spain
Summary
🤩
Rockstar🎓
Top SchoolJ Johnson is a data engineer and scientific machine learning specialist with 11 years of experience applying ML to climate and Earth-observation problems, currently supporting UNEP’s Methane Alert and Response System in Madrid. He integrates and operationalizes diverse satellite sources, adapts databases and pipelines for automated alerts, and deploys AI models to improve methane emissions detection at scale. His background includes postdoctoral work developing geographically weighted Gaussian process methods for extreme event attribution and building differentiable physics and surrogate emulators for ocean and satellite data. Comfortable spanning research and production, he combines rigorous uncertainty quantification (NumPyro/Jax) with MLOps practices (PyTorch, PyTorch-Lightning, W&B) to turn scientific models into operational systems. An unexpected strength is his track record of accelerating expensive simulations via learned surrogates, delivering research-grade accuracy with substantial computational speed-ups.
11 years of coding experience
9 years of employment as a software developer
Master of Science (MS), Applied and Computational Mathematics, Master of Science (MS), Applied and Computational Mathematics at Rochester Institute of TechnologyHistory, Scientific and Technical Communication, History, Scientific and Technical Communication at University of OxfordBachelor of Science (BS), Mathematical Science, Bachelor of Science (BS), Mathematical Science at Florida Institute of TechnologyDoctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at University of ValenciaHigh School / International Baccalaureate Diploma, High School / International Baccalaureate Diploma at Emirates International School
English, Spanish, French
Stackoverflow
28reputation
1kreached
1answer
1question
Github Skills (108)
python10
density-estimation10
deep-learning10
bayesian-inference10
in-progress10
journal10
statistics10
geopandas10
ml10
numpy10
stochastic-processes10
neural-network10
xla10
jax10
variational-inference10
Programming languages (5)
Github contributions (5)
IPL-UV/rbig_jax
Aug 2020 - Nov 2021
Iterative and Parametric Gaussianization with JAX.
Contributions:210 commits, 28 PRs, 88 pushes in 1 year 2 months
jax
IPL-UV/jaxkern
Aug 2020 - Apr 2021
A lightweight didactic library of kernel methods using the back-end JAX.
Contributions:109 commits, 6 PRs, 50 pushes in 7 months
backendjaxkernel-methodskernelshsic
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