## Software developed

I have been developing a variety of software related to bioinformatics, interior point methods and stochastic programming.

*hsstan*: an R package for fitting Bayesian models for biomarker discovery with hierarchical shrinkage priors*GENOSCORES*: a platform (with corresponding R package) for calculating genotypic predictors of binary and quantitative phenotypes*GeneImp*: an R package for fast imputation from ultra-low coverage sequencing*nestfs*: an R package for cross-validated (nested) forward selection*libsmps++*: a C++ interface to read and solve problems in SMPS format*hippy*: an implementation of interior point methods in Python

## Contributions

You may also want to check out other interesting software I worked on:

- rstantools: an R package with tools for developing of R packages interfacing with Stan
- projpred: an R package that implements projection predictive variable selection
- Stan Math library: A C++ template library for automatic differentiation at the base of Stan's statistical modelling platform
- wevid: an R package to quantify the performance of a binary classifier through weight of evidence
*spiv*: a Matlab code for Sparse Bayesian Instrumental Variable analysis- Admixmap: a C++ program to model admixture using marker genotype data
- SML (Structured Modelling Language): a structure-conveying modelling language for mathematical and stochatic programming
- OOPS (Object-Oriented Parallel Solver): a structure-exploiting parallel interior point solver
- HOPDM (Higher-Order Primal-Dual Method): a Fortran/C interior point solver