volesti
volesti is a generic open source C++ library, with R interface. volesti implements various MCMC algorithms for highdimensional sampling and volume approximation as well as functions for copula estimation and portfolio scoring in financial modeling.
dingo
dingo is a python package that analyzes metabolic networks. It relies on high dimensional sampling with Markov Chain Monte Carlo (MCMC) methods and fast optimization methods to analyze the possible states of a metabolic network. To perform MCMC sampling, dingo relies on the C++ package volesti, which provides several algorithms for sampling convex polytopes. dingo also performs two standard methods to analyze the flux space of a metabolic network, namely Flux Balance Analysis and Flux Variability Analysis.
Google Summer of Code
My projects as student hosted by Rproject for statistical computing org:
The projects that I mentored hosted by GeomScale org:
 From DNA sequences to metabolic interactions: building a pipeline to extract key metabolic processes (GSoC 2021).
 Monte Carlo Integration (GSoC 2021).
 Counting linear extensions (GSoC 2021).
 High dimensional geometric computations with least matrix inequalities (GSoC 2021).

Parallel Geometric Random Walks with Sparse Numerical Optimizations (GSoC 2021).
 A comparative study of uniform high dimensional samplers (GSoC 2020).
 Sampling from HighDimensional logconcave densities (GSoC 2020).