Theo Rashid ┣━━ code for me ┃ ┣━━ probabilistic-programming-packages - same forecasting model, different PPLs ┃ ┣━━ mortality-statsmodel - scalable, Bayesian spatiotemporal models for mortality ┃ ┣━━ bayesian-envhealth-models - Bayesian models for environmental health ┃ ┗━━ cookiecutter-r-project - template for analysis project in R ┣━━ code I helped with ┃ ┣━━ numpyro - probabilistic programming, jax backend ┃ ┣━━ pymc - probabilistic programming, pytensor backend ┃ ┣━━ pytensor - python C/jax/numba tensor library ┃ ┗━━ bayeux - inference for Bayesian models in jax ┣━━ code I would like to work on ┃ ┣━━ blackjax - samplers in jax ┃ ┣━━ dynamax - state space models in jax ┃ ┣━━ GPJax - Gaussian processes in jax ┃ ┗━━ nimble - probabilistic programming in R, customisable samplers ┗━━ work ┣━━ Faculty - Data Science Fellow ┣━━ Amazon - Applied Scientist intern, probabilistic forecasting ┗━━ Imperial College London ┣━━ PhD, Biostatistics - Scalable spatiotemporal mortality modelling ┃ ┣━━ thesis - thesis, written in quarto ┃ ┗━━ thesis-analysis - code for postprocessing and plotting in thesis ┗━━ MSci, Theoretical Physics - Mostly maths Follow me on twitter @theorashid
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Home Page: https://theorashid.github.io/cv/
License: MIT License