Peter Hurck is a professor and experimental hadron physicist with a decade of experience analyzing multi-petabyte datasets using modern programming, Bayesian inference, and MCMC techniques. He has led and taught data-driven research at Glasgow and Bonn, combining hands-on detector work and distributed computing operations with mentoring and course delivery. His research at GlueX and collaborations with Jefferson Lab and CERN blend novel machine-learning approaches with rigorous statistical methods to extract multidimensional physics observables. Awarded the Jefferson Science Associates Annual Postdoctoral Prize, he is equally comfortable developing analysis pipelines and communicating complex results through visualization and peer-reviewed publications. Based in Bonn, he brings a rare mix of experimental hardware experience, large-scale data analysis expertise, and a demonstrated track record of supervising and training the next generation of researchers.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MSc, Physics, Master of Science - MSc, Physics at The University of Bonn
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Glasgow
Contributions:25 pushes, 15 branches in 3 years 7 months
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