Hannes Vasyura-bathke
Lead SAR Engineer at SkyGeo
Potsdam, Brandenburg, Germany
Summary
👤
Senior🎓
Top SchoolHannes Vasyura-bathke is a Lead SAR Engineer based in Potsdam with 11 years of experience at the intersection of geophysics and software development, specializing in InSAR processing, deformation source modeling, and data visualization. He holds a PhD magna cum laude in Geophysics and has progressed from postdoctoral research and teaching to leading applied SAR engineering at SkyGeo, with prior R&D roles at GFZ and KAUST. Hannes combines domain expertise in seismic and geodetic inversion with practical software engineering—having contributed backend features to the widely used PyMC probabilistic programming library, including a custom ATMCMC sampler. He builds production-ready tools informed by academic rigor, and his background in fast neural approaches for seismic waveform analysis gives him a rare mix of machine learning, Bayesian inference, and remote sensing experience.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Geophsics, magna cum laude, Doctor of Philosophy - PhD, Geophsics, magna cum laude at Universität Potsdam
Github Skills (7)
statistics10
mcmc10
probabilistic-programming10
python10
statistic10
bayesian-inference10
variational-inference7
Programming languages (5)
Github contributions (5)
pymc-devs/pymc
Mar 2016 - Jul 2017
Bayesian Modeling and Probabilistic Programming in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 commits, 26 PRs, 312 comments in 1 year 4 months
Contributions summary:Hannes primarily contributed to the development of PyMC3, a Bayesian modeling and probabilistic programming library. Their work focused on implementing new features, such as the Adaptive Transitional Markov Chain Monte Carlo (ATMCMC) sampler, as well as fixing bugs related to discrete index creation. The user demonstrated experience in modifying existing code, specifically in `pymc3/step_methods`, and in the backend framework. They also contributed to plot functionalities.
pythonbayesian-inferencestatistical-inferencemachine-learningprobabilistic-programming
hvasbath/sphinx-sleekcat-theme
Jan 2018 - Mar 2024
Contributions:3 pushes in 6 years 2 months
enhancementspythonpython-docsresponsive
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.