Omar Rodríguez
Senior Associate
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolOmar Rodríguez is a data scientist with a PhD in theoretical and mathematical physics and eight years’ industry experience applying Bayesian statistics and probabilistic programming to real-world problems. He has led data science teams at J.P. Morgan and currently works as a Senior Associate at Cerberus Technology Solutions, combining research-grade modelling with production deployment. His background spans academic research in gauge/gravity duality to commercial forecasting—he built and deployed ML models forecasting Rolls‑Royce car sales two quarters ahead. An active contributor to the NumPyro ecosystem, he improved Gaussian process Hilbert space approximations, added CDF functionality and fixed sampling issues for truncated distributions, highlighting his focus on numerical stability in probabilistic frameworks. Comfortable bridging theory and engineering, he brings deep statistical rigor and practical delivery experience to high-stakes financial and industrial applications. Based in London, he pairs strong communication and teaching experience with hands-on open-source contributions that accelerate reliable Bayesian inference.
8 years of coding experience
7 years of employment as a software developer
Master of Science (MSc) Quantum Fields & Fundamental Forces, Master of Science (MSc) Quantum Fields & Fundamental Forces at Imperial College LondonDoctor of Philosophy (Ph.D.) Theoretical and Mathematical Physics, Doctor of Philosophy (Ph.D.) Theoretical and Mathematical Physics at Durham UniversityBachelor's Degree Physics, Bachelor's Degree Physics at Benemerita Universidad Autonoma de Puebla
Github Skills (11)
bayesian10
probabilistic-programming10
jax10
python10
bayesian-inference10
numpy10
mcmc9
inference9
algorithm9
algorithms9
tensorflow-probability8
Programming languages (2)
Github contributions (5)
pyro-ppl/numpyro
Jul 2021 - Jan 2022
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Role in this project:
Data Scientist
Data ScientistContributions:7 reviews, 6 commits, 3 PRs in 6 months
Contributions summary:Omar primarily contributed to the development and enhancement of a probabilistic programming example focused on Hilbert space approximations for Gaussian processes (HSGP). Their work included significant code modifications, such as updating figures, fixing typos, and refactoring of the HSGP example. The user also implemented new functionality related to cumulative distribution functions (CDFs) within the library and addressed issues related to sampling from truncated distributions. Furthermore, the user worked on various distributions within the library, demonstrating a strong focus on improving numerical stability and functionality within the probabilistic programming framework.
pythonautomatic-differentiationbayesian-inferencetpucpu
omarfsosa/omarfsosa.github.io
May 2020 - Feb 2022
Contributions:71 pushes, 2 branches in 1 year 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.