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Hi, I'm Tom 👋

I'm a researcher and engineer building AI prediction tools for climate change mitigation and adaptation.

I believe both engineering and theory are vital for scaling AI applications into real-world impact. (I'm still trying to work out if I'm a scientist who's secretly an engineer or an engineer who's secretly a scientist!)

While you're here, you might like to check out some of my projects:

  • 💻 DeepSensor, a Python package for modelling xarray and pandas data with neural processes to tackle diverse environmental prediction tasks.
  • ❄️ IceNet, a codebase for reproducing our Nature Communications paper on seasonal Arctic sea ice forecasting with deep learning. IceNet is being operationalised over at icenet-ai!

Feel free to reach out through my contact details on the left.

Tom Andersson's Projects

eds2023-convgnp-sensor-placement icon eds2023-convgnp-sensor-placement

Codebase for reproducing the results in 'Environmental Sensor Placement with Convolutional Gaussian Neural Processes' in Environmental Data Science

icenet-paper icon icenet-paper

Code associated with the paper 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'

iclr2023-antarctic-arconvcnp icon iclr2023-antarctic-arconvcnp

Codebase for reproducing the Antarctic cloud cover experiments in 'Autoregressive Conditional Neural Processes' (ICLR 2023)

pandarallel icon pandarallel

A simple and efficient tool to parallelize Pandas operations on all available CPUs

tabusearch icon tabusearch

My implementation of the Tabu Search optimisation algorithm applied to the Schwefel Function.

varz icon varz

Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX

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