About me

I am a Senior Data Engineer working at Orbio helping make methane predictions more accurate. Previously I was a Software Engineer at Cervest working to bring ML models to life that predict physical risk to customer assets due to climate change.

In a past life, I spent a few years in academia working on various computational physics problems. I was a PostDoc at the Max Planck Institute for Meteorology where I worked on the ocean model ICON-O. Keeping climate models stable is a complex problem and requires careful analysis of the numerical method. I worked on improving the structure preserving numerics of ICON-O to push the model towards more flexibility and stability.

I did my PhD at Technion, Israel. I worked on the Discontinuous Galerkin (DG) method, an arbitrary high-order, unstructured method for the solving the compressible Navier Stokes (CNS) equation. I wrote the solver in C++ making extensive use of the MFEM library. I developed the techniques required to make the solver robust and efficient.