Johann F. Jadebeck

hopsy provides a Python platform for accessing Markov chain Monte Carlo sampling algorithms for convex polytopes, enabling collaboration between developers and users.

MooViE provides a visual analysis tool for exploring multivariate data, offering a single-view visualization to extract insights across various life science applications.

The paper introduces CHRRT, a modified Coordinate Hit-and-Run with Rounding algorithm that uses thinning to improve computational efficiency for sampling convex polytopes, achieving up to three orders of magnitude faster effective sample size per time.