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Hi there 👋

I'm currently a PhD student at the University of Oxford and I research the intersection of physics and machine learning. Check out my website / blog and LinkedIn profile for more. I am also a ML lead for NASA's Frontier Development Lab.

I'm looking to collaborate on any projects involving physics-informed machine learning. Check out my FBPINNs repository for our lastest work on scalable physics-informed machine learning.


  1. Fast approximate simulation of seismic waves using WaveNet

    Jupyter Notebook 26 10

  2. This repository reproduces the results of the paper "Deep learning for fast simulation of seismic waves in complex media" (B. Moseley et al, 2020, Solid Earth)

    Jupyter Notebook 16 10

  3. FBPINNs Public

    Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".

    Jupyter Notebook 10 2

  4. Code accompanying my blog post: So, what is a physics-informed neural network?

    Jupyter Notebook 11 4

  5. Bayesian time-difference-of-arrival positioning using pymc3

    Jupyter Notebook 2

  6. A simple variational quantum eigensolver implemented using ProjectQ and Bayesian optimisation

    Python 2

21 contributions in the last year

Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Mon Wed Fri

Contribution activity

October 2021

Opened 1 pull request in 1 repository
gbaydin/ml-aims-mt2020 1 open

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