Wolfgang Wiechert

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

PeakPerformance automates LC-MS/MS peak fitting using Bayesian inference, providing uncertainty quantification and reducing false positives/negatives.

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.

CellSium generates synthetic microcolony images for training deep learning segmentation models in microfluidic live-cell imaging.